mark sanders utrecht school of economics, utrecht, netherlands max planck institute of economics,...
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![Page 1: Mark Sanders Utrecht School of Economics, Utrecht, Netherlands Max Planck Institute of Economics, Jena, Germany m.sanders@econ.uu.nl And Utz Weitzel Utrecht](https://reader036.vdocuments.mx/reader036/viewer/2022082422/56649e685503460f94b63fd7/html5/thumbnails/1.jpg)
Mark SandersUtrecht School of Economics, Utrecht, Netherlands
Max Planck Institute of Economics, Jena, Germany
And
Utz WeitzelUtrecht School of Economics, Utrecht, Netherlands
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 1 of 15
Institutions and the Allocation of Entrepreneurial Talent;
A Model of Destructive Entrepreneurship
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Motivation
Inter-relations:
-Institutions and EntrepreneurshipBaumol (1990), Murphy et al. (1991), Acemoglu (1995)
-Entrepreneurship and Developmente.g. Naudé (2008) and all here present
-Institutions and Developmente.g. Hall and Jones (1999), Olson (1996), North (1990)
-Entrepreneurs, Institutions and Developmente.g. special issue SBEJ: Acs, Desai and Hessels (2008)
Motivation
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 2 of 15
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Motivation
This paper develops a framework for analysis in which:
Institutions drive the allocation of talent…
… and the allocation of talent drives…
…development (growth) and institutions.
The interactions explain…
…the emergence of development traps…
…and helps formulate policy solutions.
Motivation
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 3 of 15
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The Basic Model
Basic Structure as in Galor and Zeira (1993) and Acemoglu (1995)
The agents in the model: Maximize log linear expected utility Live and consume for 2 periodsChoose an occupation at start of period 1Experience random events during period 1Earn income, consume and save at the end of period 1Consume savings and capital income in period 2
The Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 4 of 15
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The Model
n0 to n1=N1 n1 to n2=N2 n2 to n=N3
Wage LaborOCi
t=1Productive VenturesOCi
t=2
Destructive VenturesOCi
t=3
The Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 5 of 15
n0 n1 n2 n
Basic Structure is an occupational choice model:
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The ModelThe Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 6 of 15
All agents solve:
it
it
it
OCcccρcU
it
it
it
1,,
loglog:max1
)()(:.. 11it
it
it
it
it
it
it OCYcOCYωcts
)(:.. it
it
it
it OCYωcts
Where:ωi
t is initial wealth random uniform over [ωl, ωh]
Yti(.) is income earned from occupation OCt
i
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The Model
Wage LaborOCi
t=1
The Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 7 of 15
Expected earnings in period t and t+1:
0]1|[
]1|[
1
it
it
tit
it
OCYE
wOCYE
itt
it
it ωwρ
ρρ
ρρ
OCUE
log)1(1
log1
1log]1|[
Expected utility:
![Page 8: Mark Sanders Utrecht School of Economics, Utrecht, Netherlands Max Planck Institute of Economics, Jena, Germany m.sanders@econ.uu.nl And Utz Weitzel Utrecht](https://reader036.vdocuments.mx/reader036/viewer/2022082422/56649e685503460f94b63fd7/html5/thumbnails/8.jpg)
The ModelThe Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 8 of 15
Productive Ventures:
Income without raid:
00
10
,
0:..
:max
kωkkts
lwkklθπ
it
it
itt
αit
αit
iit
kl it
it
1)1(
1
111
1
0
αα
tαiα
αit
tit
it
it
wθααr
wkωrπ
![Page 9: Mark Sanders Utrecht School of Economics, Utrecht, Netherlands Max Planck Institute of Economics, Jena, Germany m.sanders@econ.uu.nl And Utz Weitzel Utrecht](https://reader036.vdocuments.mx/reader036/viewer/2022082422/56649e685503460f94b63fd7/html5/thumbnails/9.jpg)
The Model
ProductiveOCi
t=2
The Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 9 of 15
Expected earnings in period t and t+1 when ξ is the probability of being raided:
it
it
it
it
it
itt
it
it
krξOCYE
krξwξOCYE
111 )1)(1(]2|[
)1)(1(]2|[
i
ttit
it
t
it
it
rρwkωrρξ
wρξ
ρρ
ρρ
OCUE
10 1log))(1(log)1()1(
log)1(
1log
11
log]2|[
Expected utility:
![Page 10: Mark Sanders Utrecht School of Economics, Utrecht, Netherlands Max Planck Institute of Economics, Jena, Germany m.sanders@econ.uu.nl And Utz Weitzel Utrecht](https://reader036.vdocuments.mx/reader036/viewer/2022082422/56649e685503460f94b63fd7/html5/thumbnails/10.jpg)
The ModelThe Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 10 of 15
Destructive Ventures:
Expected assets seized per raid:
2
1
0
03 n
n
it
it
dikk
kkNξ
tn
n
it
n
n
it
it
n
n ζ
dikk
dikk
N
dikkξ
2
1
2
1
2
1
0
20
3
0
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The Model
DestructiveOCi
t=3
The Model
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 11 of 15
Expected earnings in period t and t+1:
0]3|[
)(]3|[
1
it
it
tii
tit
OCYE
ζθλOCYE
itt
i
it
it
ωζθλρ
ρρ
ρρ
OCUE
)(log)1(
1log
11
log]2|[
Expected utility:
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Mark Sanders
UNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 12 of 15
iθ
itω
Lω Hω
1
0k0
θ
)( iit θω )(~ ii
t θω
)(~
0kθ
A
B
C
D
E F
G
H
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The Dynamic Model
Comparative Statics:Lower k0 (Entry Barrier)
1. Allows for more people to engage in venture2. Makes 2 more attractive relative to 13. Increases average size of ventures4. Makes 3 more attractive to 1 5. Reduces probability for large ventures6. Increases probability for small ventures7. Makes 2 more attractive to 38. More 2, less 1, 3 ambiguous
The Shocks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 13 of 15
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The Dynamic Model
Comparative Statics:ωL or ωH (Initial Wealth)
1. Spread preserving increase in mean shifts box2. Adding on right what is lost on left3. No impact unless ωL>k0
4. Only ωL will cause less raiding (A)5. Reducing probability of being raided6. More 2, less 1 and 37. Only ωH will have opposite effect.
The Shocks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 14 of 15
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The Dynamic Model
Comparative Statics:Wages wt (Economic Development)
1. Workers earn wage2. Makes 1 more attractive directly3. Raiders do not get wage4. Does not affect 3 directly5. Wage reduces return on capital6. Raided ventures fall-back option is wage7. Has ambiguous effect on 2 (depend on ξ)8. More 1 or 2, less 3.
The Shocks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 15 of 15
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The Dynamic Model
Comparative Statics:Wages wt (Economic Development)
1. Workers earn wage2. Makes 1 more attractive directly3. Raiders do not get wage4. Does not affect 3 directly5. Wage reduces return on capital6. Raided ventures fall-back option is wage7. Has ambiguous effect on 2 (depend on ξ)8. More 1 or 2, less 3.
The Shocks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 16 of 15
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The Dynamic Model
Comparative Statics:Lower λ (Institutions)
1. Reduce profitability of raiding2. Makes 3 less attractive3. Reduces probability of being raided4. Makes 2 more attractive5. No effect on 16. More 2, less 1 and 3
The Shocks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 31, 2008 slide 17 of 15
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Policy ImplicationsDiscussion
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 30, 2008 slide 18 of 15
Overlapping generations:
Random initial wealth:
more raiding
Inheritance and endogenous wealth:
vicious and virtuous cycles
Endogenous growth and wages:
high, no and cyclical growth
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Concluding Remarks
Entrepreneurship be a force for good and evil.
Institutional design is paramount in allocating that resource.
Destructive entrepreneurship feeds on productive assets.
More inequality in the distribution of such assets increases the returns to destructive entrepreneurship.
Credit constraints limit the options for talented entrepreneurs, so inequality increases the supply of destructive entrepreneurs.
Effective redistribution and access to (micro-)credit may go a long way in breaking the vicious cycle in the short run.
Concluding Remarks
Mark SandersUNU-WIDER/UNU-MERIT-workshop on Entrepreneurship, Technological Innovation, and Development
Maastricht, Netherlands October 30, 2008 slide 19 of 15