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US federal farm payments and farm size: Quantile estimation on panel data

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  • Samiul Haque

Abstract

The marginal effect of government payments on farm size of US corn/soy and wheat producers is currently contested. This paper uses a quantile estimator with a restricted access panel dataset. Payments are positively associated with farm size; the association is statistically significant at select percentiles of the farm size distribution, but the statistical significance is not systematically related to farm size. Although the marginal effect is qualitatively larger for bigger farms, their differences are not statistically significant. This study does not provide any empirical evidence to suggest that federal farm dollars cause (i) only large farms to grow bigger or (ii) large farms to grow more than small farms.

Suggested Citation

  • Samiul Haque, 2022. "US federal farm payments and farm size: Quantile estimation on panel data," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 139-154, February.
  • Handle: RePEc:bla:jageco:v:73:y:2022:i:1:p:139-154
    DOI: 10.1111/1477-9552.12437
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    1. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    2. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.
    3. Constant I. Tra & Charles A. Towe, 2016. "The implications of the US renewable fuel standard programme for farm structure," Applied Economics, Taylor & Francis Journals, vol. 48(8), pages 712-722, February.
    4. Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
    5. Stefan Bache & Christian Dahl & Johannes Kristensen, 2013. "Headlights on tobacco road to low birthweight outcomes," Empirical Economics, Springer, vol. 44(3), pages 1593-1633, June.
    6. JunJie Wu, 2000. "Slippage Effects of the Conservation Reserve Program," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 979-992.
    7. Hoppe, Robert A. & MacDonald, James M. & Korb, Penelope J., 2010. "Small Farms in the United States: Persistence Under Pressure," Economic Information Bulletin 58300, United States Department of Agriculture, Economic Research Service.
    8. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    9. Christoph R. Weiss, 1999. "Farm Growth and Survival: Econometric Evidence for Individual Farms in Upper Austria," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 103-116.
    10. Galvao, Antonio F. & Wang, Liang, 2015. "Efficient minimum distance estimator for quantile regression fixed effects panel data," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 1-26.
    11. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    12. R. Glenn Hubbard, 1998. "Capital-Market Imperfections and Investment," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 193-225, March.
    13. David A. Fleming, 2014. "Slippage effects of land-based policies: Evaluating the Conservation Reserve Program using satellite imagery," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 167-178, November.
    14. Jet Yee & Mary Clare Ahearn, 2005. "Government policies and farm size: does the size concept matter?," Applied Economics, Taylor & Francis Journals, vol. 37(19), pages 2231-2238.
    15. Samiul Haque & Michael S. Delgado, 2017. "Finite sample performance of specification tests for correlated random effects quantile panel regressions," Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 515-519, May.
    16. Nicky Lee Grant, 2016. "Correlated Random Effects Quantile Estimation of the Tax-Price Elasticity of Charitable Donations," Economics Bulletin, AccessEcon, vol. 36(3), pages 1729-1736.
    17. Key, Nigel D. & Roberts, Michael J., 2007. "Do Government Payments Influence Farm Size and Survival?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(2), pages 1-19, August.
    18. Zulauf, Carl, 2012. "Farm Payment Limits: History and Observations," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 2, June.
    19. Abrevaya, Jason & Dahl, Christian M, 2008. "The Effects of Birth Inputs on Birthweight," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 379-397.
    20. MacDonald, James M. & Korb, Penni & Hoppe, Robert A., 2013. "Farm Size and the Organization of U.S. Crop Farming," Economic Research Report 262221, United States Department of Agriculture, Economic Research Service.
    21. Mary Clare Ahearn & Jet Yee & Penni Korb, 2005. "Effects of Differing Farm Policies on Farm Structure and Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1182-1189.
    22. Barry K. Goodwin, 2009. "Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 19-41.
    23. Michael J. Roberts & Shawn Bucholtz, 2005. "Slippage in the Conservation Reserve Program or Spurious Correlation? A Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 244-250.
    24. Daniel A. Sumner, 2014. "American Farms Keep Growing: Size, Productivity, and Policy," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 147-166, Winter.
    25. Michael J. Roberts & Nigel Key, 2008. "Agricultural Payments and Land Concentration: A Semiparametric Spatial Regression Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 627-643.
    26. McFadden, Jonathan R. & Hoppe, Robert A., 2017. "The Evolving Distribution of Payments From Commodity, Conservation, and Federal Crop Insurance Programs," Economic Information Bulletin 291932, United States Department of Agriculture, Economic Research Service.
    27. Antonio F. Galvao & Gabriel Montes-Rojas, 2015. "On Bootstrap Inference for Quantile Regression Panel Data: A Monte Carlo Study," Econometrics, MDPI, vol. 3(3), pages 1-13, September.
    28. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Other publications TiSEM 65401dae-613b-4e10-a8ae-c, Tilburg University, School of Economics and Management.
    29. James M. MacDonald, 2020. "Tracking the Consolidation of U.S. Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(3), pages 361-379, September.
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