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Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach

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  • Wu, Ximing
  • Zhang, Yu Yvette

Abstract

We propose a flexible nonparametric density estimator for panel data. One possible areas of application is estimation of crop yield distributions whose data tend to be short panels from many geographical units. Taking into account the panel structure of the data can likely improve the efficiency of the estimation when the crop distributions share some common futures over time and cross-sectionally. We apply this method to estimate annual average crop yields of 99 Iowa counties. The results demonstrate the usefulness of the proposed method to estimate simultaneously densities from a large number of cross-sectional units.

Suggested Citation

  • Wu, Ximing & Zhang, Yu Yvette, 2012. "Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124630, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124630
    DOI: 10.22004/ag.econ.124630
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    Cited by:

    1. Ker, Alan. P & Tolhurst, Tor & Liu, Yong, 2015. "Rating Area-yield Crop Insurance Contracts Using Bayesian Model Averaging and Mixture Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205211, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Crop Production/Industries; Productivity Analysis; Research Methods/ Statistical Methods;
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