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The Impact of Violence on Individual Risk Preferences : Evidence from a Natural Experiment. / Jakiela, Pamela.

World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online

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Format:
Book
Government document
Author/Creator:
Jakiela, Pamela
Contributor:
Jakiela, Pamela
Ozier, Owen
Series:
Policy research working papers.
World Bank e-Library.
Language:
English
Subjects (All):
Banks and banking reform.
Civil conflict.
Economic theory & research.
Finance and financial sector development.
Hazard risk management.
Labor policies.
Macroeconomics and economic growth.
Natural experiment.
Risk preferences.
Science and technology development.
Social protections and labor.
Statistical & mathematical sciences.
Urban development.
Local Subjects:
Banks and banking reform.
Civil conflict.
Economic theory & research.
Finance and financial sector development.
Hazard risk management.
Labor policies.
Macroeconomics and economic growth.
Natural experiment.
Risk preferences.
Science and technology development.
Social protections and labor.
Statistical & mathematical sciences.
Urban development.
Physical Description:
1 online resource (37 pages)
Other Title:
Impact of Violence on Individual Risk Preferences
Place of Publication:
Washington, D.C. : The World Bank, 2015.
System Details:
data file
Summary:
This study estimates the impact of Kenya's post-election violence on individual risk preferences. Because the crisis interrupted a longitudinal survey of more than five thousand Kenyan youth, this timing creates plausibly exogenous variation in exposure to civil conflict by the time of the survey. The study measures individual risk preferences using hypothetical lottery choice questions, which are validated by showing that they predict migration and entrepreneurship in the cross-section. The results indicate that the post-election violence sharply increased individual risk aversion. Immediately after the crisis, the fraction of subjects who are classified as either risk neutral or risk loving dropped by roughly 26 percent. The findings remain robust to an IV estimation strategy that exploits random assignment of respondents to waves of surveying.

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