measurement error and the hot hand - bowdoin college{daniel kahneman (thinking, fast and slow, 2011)...
TRANSCRIPT
![Page 1: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/1.jpg)
Measurement Error and the Hot Hand
Daniel F. Stone1
Oregon State UniversityMarch 16, 2012
1Special thanks to Zheng Cao..
![Page 2: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/2.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 3: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/3.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 4: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/4.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 5: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/5.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 6: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/6.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 7: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/7.jpg)
The new conventional wisdom in behavioral economics isthat the hot hand in basketball doesn’t exist
I Despite near-consensus of players and fans (Gilovich, Tversky andVallone, 1985)
I “The ‘hot hand’ is just a myth” –Thaler and Sunstein (Nudge,2008)
I “There is no hot hand” –Jonah Lehrer (Radiolab, 2009)
I “Numerous studies have shown the ‘hot hand’ is just a figment ofthe imagination” –Berri and Schmidt (Stumbling on Wins, 2010)
I “The hot hand is entirely in the eye of the beholders... Thehot hand is a massive and widespread cognitive illusion”–Daniel Kahneman (Thinking, Fast and Slow, 2011)
![Page 8: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/8.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 9: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/9.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 10: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/10.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 11: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/11.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 12: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/12.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 13: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/13.jpg)
Why would people make this mistake?
I ‘Law of small numbers’ -expect small samples to have large sampledistributions (Kahneman and Tversky)
I Causes tendency to see patterns in random small samples (‘fooled byrandomness’)
I Now (alleged false belief in hot hand) often cited in behavioral econlit (Rabin, JEL, 1998)
I Sometimes called overinference (DellaVigna, JEL, 2009)
I Lots of econ, finance applications
![Page 14: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/14.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 15: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/15.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 16: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/16.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 17: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/17.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 18: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/18.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 19: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/19.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 20: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/20.jpg)
How was it determined there is no hot hand?
I “[The term the hot hand implies] the probability of a hit should begreater following a hit than following a miss (i.e., positiveassociation)” Gilovich et al (1985)
I Look at first autocorrelation of shot results
I Data on shots taken during games (field goals and free throws) andshots from controlled setting
I Find, for controlled setting, sample autocorrelations insignif for allplayers but 1, average of 1.5%
I Corroborated by other studies (reviews, Koehler and Conley, 2003)
I Recently Arkes (2010) found signif autocorrelation of 3% in freethrows in large sample - but could be considered ‘small’
![Page 21: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/21.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 22: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/22.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 23: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/23.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 24: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/24.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 25: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/25.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 26: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/26.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 27: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/27.jpg)
A very simple alternative hot hand definition:
I The hot hand exists when ex-ante shot probabilities areautocorrelated
I Measure shooting ability more accurately than shot results
I Difference between shot results and probabilities like measurementerror
I I show leads to severe attenuation bias
I I.e. plim (shot result autocorrelation) <<< shot probabilityautocorrelation
I Implies hot hand not necessarily cognitive illusion (but this gets alittle tricky)
![Page 28: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/28.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 29: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/29.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 30: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/30.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 31: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/31.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 32: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/32.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 33: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/33.jpg)
An illustrative model
I Suppose a single player takes T shots from the same location
I No defense, distractions, etc
I Let xt = 1 if shot t is made and xt = 0 otherwise
I Sample first autocorrelation of shot results:
ρx,1 =Cov(xt , xt−1)
(Var(xt)Var(xt−1))0.5(1)
I Almost equivalent to coefficient from autoregression
![Page 34: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/34.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 35: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/35.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 36: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/36.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 37: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/37.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t,
so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 38: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/38.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 39: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/39.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 40: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/40.jpg)
The DGP
I
pt = ρpt−1 + (1− ρ)µp + εt , (2)
xt =
{1 with probability pt
0 otherwise,(3)
with ρ ∈ [0, 1) and µp ∈ (0, 1).
I Assume µp ≥ 0.5 and εt ∼ U[−(1− ρ)(1− µp), (1− ρ)(1− µp)] forall t, so Var(εt) = (1/3)(1− ρ)2(1− µp)2
I Guarantees pt ∈ [0, 1] for all values of ρ, µp.
I Assume also εt is independent of εt′ , pt′ for all t ′ < t (εt is whitenoise)
![Page 41: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/41.jpg)
It is then straightforward to show..
I E (pt) = µp
I Var(pt) = Var(εt)/(1− ρ2) =(1−µp)
2(1−ρ)3(1+ρ)
I pt ’s first autocorrelation is ρ, for all t
I So, ρ is key parameter for understanding hot hand
![Page 42: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/42.jpg)
It is then straightforward to show..
I E (pt) = µp
I Var(pt) = Var(εt)/(1− ρ2) =(1−µp)
2(1−ρ)3(1+ρ)
I pt ’s first autocorrelation is ρ, for all t
I So, ρ is key parameter for understanding hot hand
![Page 43: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/43.jpg)
It is then straightforward to show..
I E (pt) = µp
I Var(pt) = Var(εt)/(1− ρ2) =(1−µp)
2(1−ρ)3(1+ρ)
I pt ’s first autocorrelation is ρ, for all t
I So, ρ is key parameter for understanding hot hand
![Page 44: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/44.jpg)
It is then straightforward to show..
I E (pt) = µp
I Var(pt) = Var(εt)/(1− ρ2) =(1−µp)
2(1−ρ)3(1+ρ)
I pt ’s first autocorrelation is ρ, for all t
I So, ρ is key parameter for understanding hot hand
![Page 45: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/45.jpg)
It is then straightforward to show..
I E (pt) = µp
I Var(pt) = Var(εt)/(1− ρ2) =(1−µp)
2(1−ρ)3(1+ρ)
I pt ’s first autocorrelation is ρ, for all t
I So, ρ is key parameter for understanding hot hand
![Page 46: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/46.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 47: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/47.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 48: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/48.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 49: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/49.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 50: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/50.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 51: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/51.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 52: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/52.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 53: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/53.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 54: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/54.jpg)
But measurement error makes ρx ,1 an inconsistentestimator of ρ
I Let wt denote the error for observation t, i.e. xt = pt + wt
I Note E (wt) = E (wt |pt) = 0
I and wt uncorrelated with ε′t , p′t for all t ′, and with wt′ for t ′ 6= t
I Then ρx,1 = Cov(xt ,xt−1)
(Var(xt)Var(xt−1))0.5converges in probability to
Cov(pt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5=
Cov(ρpt−1 + (1− ρ)µp + εt + wt , pt−1 + wt−1)
(Var(xt)Var(xt−1))0.5, (4)
I And so
plim ρx,1 =ρVar(pt)
Var(xt)=
Var(pt)
Var(pt) + Var(wt)ρ < ρ. (5)
I Measurement error (Var(wt) > 0) is the culprit
![Page 55: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/55.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 56: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/56.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 57: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/57.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 58: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/58.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 59: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/59.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 60: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/60.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 61: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/61.jpg)
Can derive closed form expression for plim ρx ,1
I Using Var(xt) = µp(1− µp) and substituting for Var(pt),
plim ρx,1 =(1− µp)(1− ρ)
3µp(1 + ρ)ρ. (6)
I Suppose µp = 0.5, so plim = ρ(1−ρ)3(1+ρ)
I Has maximum of approximately 0.057 that occurs when ρ = 0.4
I When ρ = 0.8, plim ρx,1 is less than 0.03 and when ρ = 0.9, plimρx,1 is less than 0.02!
I As µp moves away from 0.5 the bias only worsens
![Page 62: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/62.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 63: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/63.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 64: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/64.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 65: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/65.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 66: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/66.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 67: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/67.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 68: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/68.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 69: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/69.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 70: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/70.jpg)
So not just biased - extremely biased
I Some intuition
I Bias increases in Var(wt)/Var(pt)
I Due to nature of basketball data this ratio is high
I When E (pt) = 0.5, measurement error usually 0.5 or -0.5!
I When E (pt) = 0.9, measurement error variance smaller but Var(pt)smaller too
I In this model, plim ρx,1 decreases in ρ because this directlydecreases Var(εt), but not generally true
I Assumption that Var(εt |pt) is constant is questionable too
I Relax both these assumptions in simulation
![Page 71: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/71.jpg)
Simulation
I Suppose pt is still ρpt−1 + (1− ρ)µp + εt , but nowεt |pt−1 ∼ U[−αδt(pt−1), αδt(pt−1)]δt ≡ min{ρpt−1 + (1− ρ)µp, 1− (ρpt−1 + (1− ρ)µp)} and α < 1,so pt ∈ (0, 1)
I Can still assume Cov(εt , εt−1) = 0, so autocorrelation of pt is still ρ
![Page 72: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/72.jpg)
Simulation
I Suppose pt is still ρpt−1 + (1− ρ)µp + εt , but nowεt |pt−1 ∼ U[−αδt(pt−1), αδt(pt−1)]
δt ≡ min{ρpt−1 + (1− ρ)µp, 1− (ρpt−1 + (1− ρ)µp)} and α < 1,so pt ∈ (0, 1)
I Can still assume Cov(εt , εt−1) = 0, so autocorrelation of pt is still ρ
![Page 73: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/73.jpg)
Simulation
I Suppose pt is still ρpt−1 + (1− ρ)µp + εt , but nowεt |pt−1 ∼ U[−αδt(pt−1), αδt(pt−1)]δt ≡ min{ρpt−1 + (1− ρ)µp, 1− (ρpt−1 + (1− ρ)µp)} and α < 1,
so pt ∈ (0, 1)
I Can still assume Cov(εt , εt−1) = 0, so autocorrelation of pt is still ρ
![Page 74: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/74.jpg)
Simulation
I Suppose pt is still ρpt−1 + (1− ρ)µp + εt , but nowεt |pt−1 ∼ U[−αδt(pt−1), αδt(pt−1)]δt ≡ min{ρpt−1 + (1− ρ)µp, 1− (ρpt−1 + (1− ρ)µp)} and α < 1,so pt ∈ (0, 1)
I Can still assume Cov(εt , εt−1) = 0, so autocorrelation of pt is still ρ
![Page 75: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/75.jpg)
Simulation
I Suppose pt is still ρpt−1 + (1− ρ)µp + εt , but nowεt |pt−1 ∼ U[−αδt(pt−1), αδt(pt−1)]δt ≡ min{ρpt−1 + (1− ρ)µp, 1− (ρpt−1 + (1− ρ)µp)} and α < 1,so pt ∈ (0, 1)
I Can still assume Cov(εt , εt−1) = 0, so autocorrelation of pt is still ρ
![Page 76: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/76.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 77: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/77.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 78: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/78.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 79: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/79.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 80: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/80.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 81: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/81.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 82: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/82.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 83: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/83.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 84: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/84.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 85: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/85.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 86: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/86.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 87: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/87.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25
(0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 88: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/88.jpg)
I Simulate s = 1, 000 samples (small but doesn’t matter), each with1,000 observations (conservatively large?)
I For each sample, estimate with OLS
xt = β0 + β1xt−1 + υt (7)
I Do this for:
I 2 values of µp, 0.5 and 0.75
I 2 values of α, 0.25 and 0.5
I 8 values of ρ, 0.1, 0.2, ..., 0.9
I So, 2× 2× 8 = 32 simulations in total
I Mean (across simulations) min and max of pt is 0.37–0.63 whenµp = 0.5, α = 0.25 for ρ = 0.1
I When ρ = 0.9, 0.20–0.80
I Min-max of 0.24–0.76 and 0.08–0.92 when α = 0.5
I When µp = 0.75, pt ranges from 0.68–0.82 and 0.38–0.90 ifα = 0.25 (0.61–0.88 and 0.15–0.96 if α = 0.5).
![Page 89: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/89.jpg)
Mean (across simulations) coefficients (1s Σs
i=1β1,i)
![Page 90: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/90.jpg)
Mean Prob(Reject H0 : β1 = 0)
![Page 91: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/91.jpg)
Percentage of negative estimates
![Page 92: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/92.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 93: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/93.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 94: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/94.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 95: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/95.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 96: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/96.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 97: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/97.jpg)
Concluding remarks
I The extreme bias for large values of ρ seems robust
I So, important to understand the difference between shot result,probability autocorrelation
I Other studies have used simulation to show autocorrelation testshave low power hen shot probabilities follow Markov process(Wardrop, 1999; Miyoshi, 2000)
I Maybe ignored because they don’t theoretically show bias, and/ordon’t identify theoretical reason for it?
I Meas error theory helps explain evidence that hot hand found inmore “controllable” (bowling and archery) settings, as opposed tomore “chaotic” sports like basketball (Oskarrson, 2009) (?)
![Page 98: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/98.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 99: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/99.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 100: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/100.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 101: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/101.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 102: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/102.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 103: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/103.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 104: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/104.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 105: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/105.jpg)
What do results imply about psychology?
I If people infer hot hand from shot results, must still be mistaken?
I But measurement error is smaller for fans/players than statisticians
I Very well may have enough info to know players at least sometimesget hot
I (Even if usually wrong when infer hotness)
I So, we cannot say “there is no hot hand”
I “I’ve been in a thousand arguments over this topic. I’vewon them all, and I’ve convinced no one.” –Amos Tversky(Moskowitz and Wertheim, 2011)
I “So he makes a study. I couldn’t care less” –RedAuerbach (Lehrer)
![Page 106: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/106.jpg)
Possible future work
I Estimators that account for measurement error (e.g. IV)
I Obtain more data to reduce measurement error
I Other contexts
![Page 107: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/107.jpg)
Possible future work
I Estimators that account for measurement error (e.g. IV)
I Obtain more data to reduce measurement error
I Other contexts
![Page 108: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/108.jpg)
Possible future work
I Estimators that account for measurement error (e.g. IV)
I Obtain more data to reduce measurement error
I Other contexts
![Page 109: Measurement Error and the Hot Hand - Bowdoin College{Daniel Kahneman (Thinking, Fast and Slow, 2011) The new conventional wisdom in behavioral economics is that the hot hand in basketball](https://reader034.vdocuments.mx/reader034/viewer/2022042415/5f304fce2b02ba09bb01caf4/html5/thumbnails/109.jpg)
Possible future work
I Estimators that account for measurement error (e.g. IV)
I Obtain more data to reduce measurement error
I Other contexts