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Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending

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  • Robert Finger

Abstract

Using a Monte Carlo experiment, the performance of the ordinary least squares (OLS) and the MM-estimator, a robust regression technique, is compared in an application of crop yield detrending. Assuming symmetric as well as skewed crop yield distributions, we show that the MM-estimator performs similarly to OLS for uncontaminated time series of crop yield data, and clearly outperforms OLS for outlier-contaminated samples. In contrast to earlier studies, our analysis suggests that robust regression techniques, such as the MM-estimator, should be reconsidered for detrending crop yield data. Copyright 2010, Oxford University Press.

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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 92 (2010)
Issue (Month): 1 ()
Pages: 205-211

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Handle: RePEc:oup:ajagec:v:92:y:2010:i:1:p:205-211

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  1. Weninger, Quinn & Just, Richard E., 1999. "Are Crop Yields Normally Distributed?," Staff General Research Papers 5064, Iowa State University, Department of Economics.
  2. Octavio A. Ramirez & Sukant Misra & James Field, 2003. "Crop-Yield Distributions Revisited," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 108-120.
  3. Christophe Croux & Geert Dhaene & Dirk Hoorelbeke, 2003. "Robust Standard Errors for Robust Estimators," Center for Economic Studies - Discussion papers ces0316, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
  4. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), April.
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Cited by:
  1. Tolhurst, Tor & Ker, Alan P., 2013. "On Technological Change in Crop Yields," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151269, Agricultural and Applied Economics Association.
  2. Robert Finger & Nadja El Benni, 2012. "A Note on Price Risks in Swiss Crop Production – Empirical Results and Comparisons with other Countries," Yearbook of Socioeconomics in Agriculture, Swiss Society for Agricultural Economics and Rural Sociology, vol. 5(1), pages 131-151.
  3. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2012. "Improving Accuracy of Technological Trend Estimations In Farm Yield Models by Taking Weather Effects Into Account," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126662, International Association of Agricultural Economists.
  4. Conradt, Sarah & Bokusheva, Raushan & Finger, Robert & Kussaiynov, Talgat, 2012. "Yield trend estimation in the presence of non-constant technological change and weather effects," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122541, European Association of Agricultural Economists.
  5. Finger, Robert, 2012. "Nitrogen use and the effects of nitrogen taxation under consideration of production and price risks," Agricultural Systems, Elsevier, vol. 107(C), pages 13-20.
  6. Finger, Robert, 2012. "Modeling the sensitivity of agricultural water use to price variability and climate change—An application to Swiss maize production," Agricultural Water Management, Elsevier, vol. 109(C), pages 135-143.
  7. Finger, Robert, 2011. "Reductions of Agricultural Nitrogen Use Under Consideration of Production and Price Risks," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114356, European Association of Agricultural Economists.

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