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


  • Robert Finger


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.

Suggested Citation

  • Robert Finger, 2010. "Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 205-211.
  • Handle: RePEc:oup:ajagec:v:92:y:2010:i:1:p:205-211

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    References listed on IDEAS

    1. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
    2. Joseph Atwood & Saleem Shaik & Myles Watts, 2002. "Can Normality of Yields Be Assumed for Crop Insurance?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(2), pages 171-184, July.
    3. 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.
    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.
    5. Christophe Croux & Geert Dhaene & Dirk Hoorelbeke, 2003. "Robust Standard Errors for Robust Estimators," Working Papers Department of Economics ces0316, KU Leuven, Faculty of Economics and Business, Department of Economics.
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    1. repec:fgv:epgrbe:v:71:y:2017:i:4:a:27375 is not listed on IDEAS
    2. Boyer, Christopher N. & Harmon, Xavier & Smith, S. Aaron & Lambert, Dayton M. & Kelly, Heather & Jordan, Jamie & Newman, Melvin, 2016. "A Two-Stage Approach for Estimating the Value of Damage Control with Fungicide in Soybean Production," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229574, Southern Agricultural Economics Association.
    3. repec:bla:jageco:v:68:y:2017:i:2:p:518-533 is not listed on IDEAS
    4. 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.
    5. 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.
    6. Böcker, Thomas Gerd & Finger, Robert, 2016. "A Meta-Analysis On The Own-Price Elasticity Of Demand For Pesticides," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244871, German Association of Agricultural Economists (GEWISOLA).
    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.
    8. Tor N. Tolhurst & Alan P. Ker, 2015. "On Technological Change in Crop Yields," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 137-158.
    9. Robert Finger & Nadja El Benni, 2012. "A Note on Price Risks in Swiss Crop Production – Empirical Results and Comparisons with other Countries," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 5(1), pages 131-151.
    10. 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.
    11. Christopher N. Boyer & B. Wade Brorsen & Emmanuel Tumusiime, 2015. "Modeling skewness with the linear stochastic plateau model to determine optimal nitrogen rates," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 1-10, January.
    12. 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.

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