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Forecasting Profitability

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  • Mark Rosenzweig
  • Christopher R. Udry

Abstract

We use newly-available Indian panel data to estimate how the returns to planting-stage investments vary by rainfall realizations. We show that the forecasts significantly affect farmer investment decisions and that these responses account for a substantial fraction of the inter-annual variability in planting-stage investments, that the skill of the forecasts varies across areas of India, and that farmers respond more strongly to the forecast where there is more forecast skill and not at all when there is no skill. We show, using an IV strategy in which the Indian government forecast of monsoon rainfall serves as the main instrument, that the return to agricultural investment depends substantially on the conditions under which it is estimated. Using the full rainfall distribution and our profit function estimates, we find that Indian farmers on average under-invest, by a factor of three, when we compare actual levels of investments to the optimal investment level that maximizes expected profits. Farmers who use skilled forecasts have increased average profit levels but also have more variable profits compared with farmers without access to forecasts. Even modest improvements in forecast skill would substantially increase average profits.

Suggested Citation

  • Mark Rosenzweig & Christopher R. Udry, 2013. "Forecasting Profitability," NBER Working Papers 19334, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:19334
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    References listed on IDEAS

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    1. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    2. Abhijit V. Banerjee & Esther Duflo, 2014. "Do Firms Want to Borrow More? Testing Credit Constraints Using a Directed Lending Program," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 572-607.
    3. Townsend, Robert M, 1994. "Risk and Insurance in Village India," Econometrica, Econometric Society, vol. 62(3), pages 539-591, May.
    4. Andrew G. Turner & H. Annamalai, 2012. "Climate change and the South Asian summer monsoon," Nature Climate Change, Nature, vol. 2(8), pages 587-595, August.
    5. Nicholas Bloom & Benn Eifert & Aprajit Mahajan & David McKenzie & John Roberts, 2013. "Does Management Matter? Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 1-51.
    6. Suresh de Mel & David McKenzie & Christopher Woodruff, 2009. "Returns to Capital in Microenterprises: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 423-423.
    7. Phillips, J. G. & Deane, D. & Unganai, L. & Chimeli, A., 2002. "Implications of farm-level response to seasonal climate forecasts for aggregate grain production in Zimbabwe," Agricultural Systems, Elsevier, vol. 74(3), pages 351-369, December.
    8. Esther Duflo & Christopher Udry, 2003. "Intrahousehold Resource Allocation in Côte D'ivoire: Social Norms, Separate Accounts and Consumption Choices," Working Papers 857, Economic Growth Center, Yale University.
    9. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    10. de Mel, Suresh & McKenzie, David J. & Woodruff, Christopher, 2009. "Measuring microenterprise profits: Must we ask how the sausage is made?," Journal of Development Economics, Elsevier, vol. 88(1), pages 19-31, January.
    11. Maurizio Mazzocco & Shiv Saini, 2012. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences," American Economic Review, American Economic Association, vol. 102(1), pages 428-468, February.
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    Cited by:

    1. Shrader, Jeffrey, 2014. "Forecasts and Adaptation," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170626, Agricultural and Applied Economics Association.
    2. Miura, Ken & Sakurai, Takeshi, 2021. "News from the Sky: An Empirical Test of Forward-Looking Behavior Among Zambian Farmers," 2021 Conference, August 17-31, 2021, Virtual 315161, International Association of Agricultural Economists.
    3. Severen, Christopher & Costello, Christopher & Deschênes, Olivier, 2018. "A Forward-Looking Ricardian Approach: Do land markets capitalize climate change forecasts?," Journal of Environmental Economics and Management, Elsevier, vol. 89(C), pages 235-254.

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    More about this item

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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