Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending
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.
Volume (Year): 92 (2010)
Issue (Month): 1 ()
|Contact details of provider:|| Postal: |
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Weninger, Quinn & Just, Richard E., 1999.
"Are Crop Yields Normally Distributed?,"
Staff General Research Papers
5064, Iowa State University, Department of Economics.
- 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.
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:92:y:2010:i:1:p:205-211. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press)or (Christopher F. Baum)
If references are entirely missing, you can add them using this form.