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Missing agricultural price data: an application of mixed estimation

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  • Maria Jose Castillo
  • Pilar Useche
  • Charles Moss

Abstract

This article shows the convenience of combining the Country-Product- Dummy (CPD) model and the Theil-Goldberger (TG) mixed estimator to obtain better estimates of missing prices than those obtained by marginal mean imputation. We use the TG estimator to combine aggregate price data for regions of Ecuador with producer-level data (the sample data) to fill-in the missing price observations. Our results show better price estimates for predicting missing data than estimates obtained from using the CPD model on the sample data only. Through this approach, missing data can be replaced with economically meaningful data.

Suggested Citation

  • Maria Jose Castillo & Pilar Useche & Charles Moss, 2010. "Missing agricultural price data: an application of mixed estimation," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 537-541.
    • Handle: RePEc:taf:apeclt:v:17:y:2010:i:6:p:537-541
    DOI: 10.1080/13504850802167207
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    References listed on IDEAS

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    1. Ron C. Mittelhammer & Roger K. Conway, 1988. "Applying Mixed Estimation in Econometric Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(4), pages 859-866.
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    Cited by:

    1. Kyureghian, Gayaneh & Capps, Oral, Jr. & Nayga, Rodolfo M., Jr., 2011. "General Remedies to Local Problems: An Applied Researcher’s Manual to Multiple Imputation," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 108266, Agricultural and Applied Economics Association.

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