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The Persistence of Income Shocks: Evidence from Rural Indonesia

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  • David Newhouse

Abstract

This paper estimates the persistence of transient income shocks to farm households in rural Indonesia. Persistence is defined as the elasticity of a household's 1997 household per capita income with respect to its 1993 per capita income, controlling for time‐invariant characteristics of the household. Local rainfall levels are used as an exogenous source of transitory variation in 1993 income. Four main conclusions emerge. First, roughly 30% of household income shocks remain after four years. Second, the persistence of negative and positive shocks is approximately equal; if anything, positive shocks last longer. Third, neither positive nor negative income shocks disproportionately affect poor households. Finally, measurement error in income and unobserved household heterogeneity are important sources of bias. These findings cast doubt on common arguments advocating public intervention to stabilize or redistribute income, and suggest that anti‐poverty policy should address more permanent causes of household poverty.

Suggested Citation

  • David Newhouse, 2005. "The Persistence of Income Shocks: Evidence from Rural Indonesia," Review of Development Economics, Wiley Blackwell, vol. 9(3), pages 415-433, August.
  • Handle: RePEc:bla:rdevec:v:9:y:2005:i:3:p:415-433
    DOI: 10.1111/j.1467-9361.2005.00285.x
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    References listed on IDEAS

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    1. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6, National Bureau of Economic Research, Inc.
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    3. Hanan G. Jacoby & Emmanuel Skoufias, 1998. "Testing Theories of Consumption Behavior Using Information on Aggregate Shocks: Income Seasonality and Rainfall in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 1-14.
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    Cited by:

    1. Mangyo, Eiji, 2008. "Who benefits more from higher household consumption? The intra-household allocation of nutrients in China," Journal of Development Economics, Elsevier, vol. 86(2), pages 296-312, June.
    2. Korkeala, Outi & Newhouse, David & Duarte, Mafalda, 2009. "Distributional impact analysis of past climate variability in rural Indonesia," Policy Research Working Paper Series 5070, The World Bank.
    3. Thomas J. Sargent & John Stachurski, 2024. "Dynamic Programming: Finite States," Papers 2401.10473, arXiv.org.
    4. Walter Sosa-Escudero & Mariana Marchionni & Omar Arias, 2011. "Sources of Income Persistence: Evidence from Rural El Salvador," Journal of Income Distribution, Ad libros publications inc., vol. 20(1), pages 3-28, March.
    5. Stefan Dercon & Joseph S. Shapiro, 2007. "Moving On, Staying Behind, Getting Lost: Lessons on poverty mobility from longitudinal data," Economics Series Working Papers GPRG-WPS-075, University of Oxford, Department of Economics.
    6. Naschold, Felix & Walker, Thomas F. & Barrett, Christopher B. & Osei, Robert, 2011. "Idiosyncratic shocks, risk management and welfare dynamics in rural Ghana," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 109646, Agricultural and Applied Economics Association.
    7. Yaumidin, Umi Karomah, 2020. "Farmers’ responses to unexpected weather variability in developing countries: The case of Indonesia," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305233, Australian Agricultural and Resource Economics Society.
    8. David I. Levine & Dean Yang, 2014. "The Impact of Rainfall on Rice Output in Indonesia," NBER Working Papers 20302, National Bureau of Economic Research, Inc.
    9. Tran, Van Q., 2015. "Household's coping strategies and recoveries from shocks in Vietnam," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 15-29.
    10. Andy Sumner & Peter Edward, 2013. "From Low Income, High Poverty to High-Income, No Poverty? An Optimistic View of the Long-Run Evolution of Poverty in Indonesia By International Poverty Lines, 1984–2030," Working Papers in Economics and Development Studies (WoPEDS) 201310, Department of Economics, Padjadjaran University, revised Jun 2013.
    11. Berloffa, Gabriella & Modena, Francesca, 2013. "Income shocks, coping strategies, and consumption smoothing: An application to Indonesian data," Journal of Asian Economics, Elsevier, vol. 24(C), pages 158-171.
    12. Nitya Mittal & Janina Isabel Steinert & Sebastian Vollmer, 2023. "COVID-19 pandemic, losses of livelihoods and uneven recovery in Pune, India," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    13. Apata, T.G. & Olajorin, V., 2013. "Persistence of Small Farms and Associated Poverty Levels in Nigeria: Case for Commercialization of Small Farms," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160425, African Association of Agricultural Economists (AAAE).
    14. Misganaw Teshager Abeje & Atsushi Tsunekawa & Enyew Adgo & Nigussie Haregeweyn & Zerihun Nigussie & Zemen Ayalew & Asres Elias & Dessalegn Molla & Daregot Berihun, 2019. "Exploring Drivers of Livelihood Diversification and Its Effect on Adoption of Sustainable Land Management Practices in the Upper Blue Nile Basin, Ethiopia," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    15. Eric Akobeng, 2017. "The Invisible Hand of Rain in Spending: Effect of Rainfall-Driven Agricultural Income on Per Capita Expenditure in Ghana," South African Journal of Economics, Economic Society of South Africa, vol. 85(1), pages 98-122, March.
    16. Naschold, Felix, 2016. "Getting ahead or falling behind? – The importance of households’ ability to manage idiosyncratic risk in rural Ghana," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235720, Agricultural and Applied Economics Association.

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