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Growth and Risk: Methodology and Micro Evidence

Author

Listed:
  • Chris Elbers
  • Jan Willem Gunning
  • Bill Kinsey

Abstract

How exposure to risk affects economic growth is a key issue in development. This article quantifies both the ex ante and ex post effects of risk using long-running panel data for rural households in Zimbabwe. It proposes a simulation-based econometric methodology to estimate the structural form of a micro model of household investment decisions under risk. The key finding is that risk substantially reduces growth in this particular setting: the mean capital stock in the sample is (in expectation) 46 percent lower than in the absence of risk. About two-thirds of the impact of risk is due to the ex ante effect (that is, the behavioral response to risk), which is usually not taken into account in policy design. These results suggest that policy interventions that reduce exposure to shocks or that help households manage risk could be much more effective than is commonly thought. Copyright 2007, Oxford University Press.

Suggested Citation

  • Chris Elbers & Jan Willem Gunning & Bill Kinsey, 2007. "Growth and Risk: Methodology and Micro Evidence," The World Bank Economic Review, World Bank, vol. 21(1), pages 1-20.
    • Handle: RePEc:oup:wbecrv:v:21:y:2007:i:1:p:1-20
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    JEL classification:

    • D10 - Microeconomics - - Household Behavior - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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