data: pitfalls & opportunities...data: pitfalls & opportunities stephen g cecchetti 2 i....
TRANSCRIPT
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BRANDEIS INTERNATIONAL
BUSINESS SCHOOL
Data: Pitfalls & Opportunities
Stephen G Cecchetti
www.moneyandbanking.com
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2
I. Pitfalls
II. Opportunities
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Know your data
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Business Cycles: Chart 1
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Business Cycles: Chart 2
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0
1
-50
-40
-30
-20
-10
0
10
20
30
40
50
60
1950 1960 1970 1980 1990 2000 2010
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Recessions since 1950: 10
Number predicted by Series 1: 6
Number predicted by Series 2: 15
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Business Cycles: Which predicts better?
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Recessions since 1950: 10
Number predicted by Series 1: 6If series 1 forecasts a downturn, it happens every time.
Number predicted by Series 2: 15
If series 2 forecasts a downturn, it happens two out of three times
What are these series?
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Business Cycles: Which predicts better?
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Recessions since 1950: 10
Number predicted by Series 1: 6
Number predicted by Series 2: 15
What are these series?
#1 is the number of sunspot
#2 is the S&P 500
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Business Cycles: Which predicts better?
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Recessions since 1950: 10
Number predicted by Series 1: 6
Number predicted by Series 2: 15
What are these series?
#1 is the number of sunspot
#2 is the S&P 500
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Business Cycles: Which predicts better?
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How big a change is meaningful?
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Signal versus Noise: Seasonality
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Seasonality in GDP
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Seasonality in GDP
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How big a change is meaningful?
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Signal versus Noise: Seasonality
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13BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Revisions: GDP Growth 1990 Third Quarter
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14BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Revisions: GDP Growth 1990 Third Quarter
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Revisions:
Tax data
Benchmark surveys
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Signal versus Noise: Revisions
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Revisions:
Tax data
Benchmark surveys
Leads people to prefer employment to output
because revisions tend to be smaller & faster
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Signal versus Noise: Revisions
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Do the data mean what you think?
Example: Owner-occupied housing
Before 1983:
House prices
mortgage interest rates
property taxes
insurance
maintenance costs
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Data construction
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Interest Rates and Inflation
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Do the data mean what you think?
Example: Owner-occupied housing
Before 1983:
House prices
mortgage interest rates
property taxes
insurance
maintenance costs
Implication: Interest rates Inflation !
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Data construction
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Do the data mean what you think?
Example: Owner-occupied housing
Before 1983:
House prices
mortgage interest rates
property taxes
insurance
maintenance costs
Implication: Interest rates Inflation !
After 1983: rental equivalence
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Data construction
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Interest Rates and Inflation
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22
Do the data mean what you think?
Example: Owner-occupied housing
Before 1983:
House prices
mortgage interest rates
property taxes
insurance
maintenance costs
Implication: Interest rates Inflation !
After 1983: rental equivalence
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Data construction
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1. Beware correlations2. Seasonality is huge3. Revisions can be big4. Know how your data
are constructed
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Pitfalls
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Billion Prices Project
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Billion Prices Project
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Growth of noncash payments
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Value of card payments
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Value of card payments
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Using technology in low-income countries
M-Pesa: Money transfer using mobile phones
(Started in Kenya in 2007, 17 mn users by 2012)
AADHAAR: Unique biometric ID with bank account
(Started in India in 2016, has nearly 1 bn registrants)
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Payments and Credit
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Using technology in low-income countries
M-Pesa: Money transfer using mobile phones
(Started in Kenya in 2007, 17 mn users by 2012)
AADHAAR: Unique biometric ID with bank account
(Started in India in 2016, has nearly 1 bn registrants)
Measure non-market activity
Create credit records
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Payments and Credit
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31
Using technology in low-income countries
M-Pesa: Money transfer using mobile phones
(Started in Kenya in 2007, 17 mn users by 2012)
AADHAAR: Unique biometric ID with bank account
(Started in India in 2016, has nearly 1 bn registrants)
Measure non-market activity
Create credit records
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Payments and Credit
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Information Technology
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Prices and Productivity
2013 iPhone 5s 1975 Cray-1
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Information Technology
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Prices and Productivity
2013 iPhone 5s 1975 Cray-1
= 1000 times power (just the graphics card!)
100,000 times price =
(that’s a 35+% annual deflation)
iPhone to scale
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Information Technology
Consumption
Less than 1%
If IT inflation overstatement 10 p.p.
Overall inflation 0.1 pp too high
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Prices and Productivity
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Information Technology
Consumption
Less than 1%
If IT inflation overstatement 10 p.p.
Overall inflation 0.1 pp too high
Health Care
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Prices and Productivity
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Value of Health Care
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Information Technology
Consumption
Less than 1%
If IT inflation overstatement 10 p.p.
Overall inflation 0.1 pp too high
Health Care
17% of consumption!
Quality adjustment is very difficult
Digital medical records improve measurement.
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Prices and Productivity
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Health Care Price Index
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Information Technology
Consumption
Less than 1%
If IT inflation overstatement 10 p.p.
Overall inflation 0.1 pp too high
Health Care
17% of consumption!
Quality adjustment is very difficult
Digital medical records improve measurement.
Are we overestimating inflation in health care?
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Prices and Productivity
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Information Technology
Investment & productivity
16% is IT hardware & software
Investment = 16.1% of GDP
If IT inflation overstatement 10 p.p.
Investment understated 1.6 pp
GDP & productivity understated 0.256pp!!
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Prices and Productivity
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Prices: IT is less than 1% of consumption
Health care is 17% of consumption
Quality adjustment is difficult
Are we overestimating inflation in health care? Productivity:
16% is IT hardware & software
Investment = 16.1% of GDP
If IT inflation overstatement 10 p.p.
Investment understated 1.6 pp
GDP & productivity understated 0.256pp!!
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Prices and Productivity
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Prices:
IT is less than 1% of consumption
Health care is 17% of consumption
Quality adjustment is difficult
Are we overestimating inflation in health care? Productivity:
16% is IT hardware & software
Investment = 16.1% of GDP
If IT inflation overstatement 10 p.p.
Investment understated 1.6 pp
GDP & productivity understated 0.256pp!!BRANDEIS INTERNATIONAL BUSINESS SCHOOL
Prices and Productivity
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Pitfalls Opportunities
1. Beware correlations2. Seasonality is huge3. Revisions can be big4. Know how your data
are constructed
1. Verifying official statistics2. Improve consumption data3. Track payments & credit
in low-income countries4. Improve price and
productivity measurement
BRANDEIS INTERNATIONAL BUSINESS SCHOOL
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BRANDEIS INTERNATIONAL
BUSINESS SCHOOL
Data: Pitfalls & Opportunities
Stephen G Cecchetti
www.moneyandbanking.com