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Crop Insurance and Rice Productivity: Evidence from Eastern India

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  • Kumar, Anjani
  • Saroj, Sunil
  • Mishra, Ashok

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  • Kumar, Anjani & Saroj, Sunil & Mishra, Ashok, 2021. "Crop Insurance and Rice Productivity: Evidence from Eastern India," 2021 Conference, August 17-31, 2021, Virtual 315068, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae21:315068
    DOI: 10.22004/ag.econ.315068
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    References listed on IDEAS

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    1. Hau, Arthur, 2006. "Production under uncertainty with insurance or hedging," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 347-359, April.
    2. Unknown, 2008. "Institute of Agricultural Economics," Economics of Agriculture, Institute of Agricultural Economics, vol. 55(3).
    3. Barnwal, Prabhat & Kotani, Koji, 2013. "Climatic impacts across agricultural crop yield distributions: An application of quantile regression on rice crops in Andhra Pradesh, India," Ecological Economics, Elsevier, vol. 87(C), pages 95-109.
    4. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    5. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    6. Kumar, Anjani & Saroj, Sunil & Joshi, P.K. & Takeshima, Hiroyuki, 2018. "Does cooperative membership improve household welfare? Evidence from a panel data analysis of smallholder dairy farmers in Bihar, India," Food Policy, Elsevier, vol. 75(C), pages 24-36.
    7. Robert G. Chambers & John Quiggin, 2002. "Optimal Producer Behavior in the Presence of Area-Yield Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 320-334.
    8. Deepak K. Ray & James S. Gerber & Graham K. MacDonald & Paul C. West, 2015. "Climate variation explains a third of global crop yield variability," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    9. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
    10. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    11. Bharat Ramaswami, 1993. "Supply Response to Agricultural Insurance: Risk Reduction and Moral Hazard Effects," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 914-925.
    12. Clarke,Daniel Jonathan & Mahul,Olivier & Rao,Kolli Nageswara & Verma,Niraj, 2012. "Weather based crop insurance in India," Policy Research Working Paper Series 5985, The World Bank.
    13. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    14. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2008. "Climate Change and Economic Growth: Evidence from the Last Half Century," NBER Working Papers 14132, National Bureau of Economic Research, Inc.
    15. JunJie Wu, 1999. "Crop Insurance, Acreage Decisions, and Nonpoint-Source Pollution," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 305-320.
    16. David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
    17. Ma, Wanglin & Abdulai, Awudu, 2016. "Does cooperative membership improve household welfare? Evidence from apple farmers in China," Food Policy, Elsevier, vol. 58(C), pages 94-102.
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    Keywords

    Risk and Uncertainty; Crop Production/Industries;

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