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Nonlinear weather and climate-induced effects on hired farm labor wages: Evidence from the U.S. Cornbelt

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  • Njuki, Eric

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  • Njuki, Eric, 2021. "Nonlinear weather and climate-induced effects on hired farm labor wages: Evidence from the U.S. Cornbelt," 2021 Annual Meeting, August 1-3, Austin, Texas 313959, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea21:313959
    DOI: 10.22004/ag.econ.313959
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    1. Michee Arnold Lachaud & Boris E. Bravo-Ureta & Carlos E. Ludena, 2017. "Agricultural productivity in Latin America and the Caribbean in the presence of unobserved heterogeneity and climatic effects," Climatic Change, Springer, vol. 143(3), pages 445-460, August.
    2. Solomon Hsiang & Marshall Burke, 2014. "Climate, conflict, and social stability: what does the evidence say?," Climatic Change, Springer, vol. 123(1), pages 39-55, March.
    3. Marshall Burke & Solomon M. Hsiang & Edward Miguel, 2015. "Climate and Conflict," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 577-617, August.
    4. Zahniser, Steven & Taylor, J. Edward & Hertz, Thomas & Charlton, Diane, 2019. "Rising Wages Point to a Tighter Farm Labor Market in the United States," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 0(01), February.
    5. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    6. Alwyn Young, 2014. "Structural Transformation, the Mismeasurement of Productivity Growth, and the Cost Disease of Services," American Economic Review, American Economic Association, vol. 104(11), pages 3635-3667, November.
    7. Young, Alwyn, 2014. "Structural transformation, the mismeasurement of productivity growth, and the cost disease of services," LSE Research Online Documents on Economics 60213, London School of Economics and Political Science, LSE Library.
    8. Olivier Deschênes & Michael Greenstone, 2011. "Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 152-185, October.
    9. Michael J. Roberts & Wolfram Schlenker & Jonathan Eyer, 2013. "Agronomic Weather Measures in Econometric Models of Crop Yield with Implications for Climate Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 236-243.
    10. Maoyong Fan & Susan Gabbard & Anita Alves Pena & Jeffrey M. Perloff, 2015. "Why Do Fewer Agricultural Workers Migrate Now?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 665-679.
    11. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    12. Diane Charlton & J. Edward Taylor, 2016. "A Declining Farm Workforce: Analysis of Panel Data from Rural Mexico," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1158-1180.
    13. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    14. Wallace E. Huffman & Yu Jin & Zheng Xu, 2018. "The economic impacts of technology and climate change: New evidence from U.S. corn yields," Agricultural Economics, International Association of Agricultural Economists, vol. 49(4), pages 463-479, July.
    15. Wolfram Schlenker, 2019. "Agricultural Productivity and Producer Behavior," NBER Books, National Bureau of Economic Research, Inc, number schl-1, March.
    16. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    17. S. Seo, 2013. "An essay on the impact of climate change on US agriculture: weather fluctuations, climatic shifts, and adaptation strategies," Climatic Change, Springer, vol. 121(2), pages 115-124, November.
    18. Yu Jin & Wallace E. Huffman, 2016. "Measuring public agricultural research and extension and estimating their impacts on agricultural productivity: new insights from U.S. evidence," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 15-31, January.
    19. Charlton, Diane & Taylor, J. Edward & Vougioukas, Stavros & Rutledge, Zachariah, 2019. "Can Wages Rise Quickly Enough to Keep Workers in the Fields?," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 34(2), May.
    20. Fernando M. Aragón & Francisco Oteiza & Juan Pablo Rud, 2021. "Climate Change and Agriculture: Subsistence Farmers' Response to Extreme Heat," American Economic Journal: Economic Policy, American Economic Association, vol. 13(1), pages 1-35, February.
    21. David Blakeslee & Ram Fishman & Veena Srinivasan, 2020. "Way Down in the Hole: Adaptation to Long-Term Water Loss in Rural India," American Economic Review, American Economic Association, vol. 110(1), pages 200-224, January.
    22. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    23. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    24. Marshall Burke & Kyle Emerick, 2016. "Adaptation to Climate Change: Evidence from US Agriculture," American Economic Journal: Economic Policy, American Economic Association, vol. 8(3), pages 106-140, August.
    25. Danyelle Branco & José Féres, 2021. "Weather Shocks and Labor Allocation: Evidence from Rural Brazil," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1359-1377, August.
    26. Cragg, John G. & Donald, Stephen G., 1993. "Testing Identifiability and Specification in Instrumental Variable Models," Econometric Theory, Cambridge University Press, vol. 9(2), pages 222-240, April.
    27. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
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    Production Economics; International Development; Research Methods/Statistical Methods;
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