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Poverty Measurement Under Risk Aversion Using Panel Data

Author

Listed:
  • Cruces Guillermo

    (London School of Economics)

  • Makdissi Paul

    (Université de Sherbrooke)

  • Wodon Quentin T.

    (World Bank)

Abstract

This paper shows how to take into account risk aversion when measuring poverty under income variability. An application to British panel data suggests that income and poverty comparisons between the self-employed and other groups of households are sensitive to assumptions on the degree of risk aversion. The results point to the importance of panel data in order to account for risk aversion and income variability in the measurement of poverty.

Suggested Citation

  • Cruces Guillermo & Makdissi Paul & Wodon Quentin T., 2004. "Poverty Measurement Under Risk Aversion Using Panel Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-20, September.
  • Handle: RePEc:bpj:bejeap:v:contributions.3:y:2004:i:1:n:13
    DOI: 10.2202/1538-0645.1194
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    References listed on IDEAS

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    Cited by:

    1. Petr Hanel, 2003. "Impact Of Government Support Programs On Innovation By Canadian Manufacturing Firms," Cahiers de recherche 04-02, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    2. Paul MAKDISSI & Quentin WODON, 2004. "Price Liberalization and Farmer Welfare Under Risk Aversion: Cotton in Benin and Ivory Coast," Cahiers de recherche 04-09, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.
    3. Gustav Kjellsson & Dennis Petrie & Tom (T.G.M.) van Ourti, 2018. "Measuring income-related inequalities in risky health prospects," Tinbergen Institute Discussion Papers 18-007/V, Tinbergen Institute.
    4. Nouve, Kofi & Bambio, Yiriyibin & Kabore, Samuel & Wodon, Quentin, 2010. "Risque et mesures de la pauvreté rurale au Burkina Faso [Risk and Measures of Rural Poverty in Burkina Faso]," MPRA Paper 34374, University Library of Munich, Germany.
    5. Cruces, Guillermo, 2005. "Income fluctuation, poverty and well-being over time: theory and application to Argentina," LSE Research Online Documents on Economics 6545, London School of Economics and Political Science, LSE Library.
    6. Pene Kalulumia & Denis Bolduc, 2004. "Generalized Mixed Estimation Of A Multinomial Discretecontinuous Choice Model For Electricity Demand," Cahiers de recherche 04-01, Departement d'Economique de l'École de gestion à l'Université de Sherbrooke.

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    More about this item

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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