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Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption

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  • Zhong, Hua
  • Hu, Wuyang
  • Penn, Jerrod M.

Abstract

Missing-data problems are common in farmer surveys but are often ignored in the literature. Conventional methods to address missing data, such as deletion and mean replacement, assume that data are missing completely at random, which rarely holds. This study compares these approaches to the multiple imputation method, which produces different parameter estimates. The mean replacement method increases the central tendency of data, leading to more significant but smaller coefficients than the other methods. We recommend using both the deletion and multiple imputation methods to deal with missing data; results generated by the mean replacement method may not be as reliable.

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  • Zhong, Hua & Hu, Wuyang & Penn, Jerrod M., 2018. "Application of Multiple Imputation in Dealing with Missing Data in Agricultural Surveys: The Case of BMP Adoption," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    • Handle: RePEc:ags:jlaare:267611
    DOI: 10.22004/ag.econ.267611
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    2. Bastola, Sapana & Penn, Jerrod & Blazier, Michael, 2022. "Assessing Hypothetical Bias in Nudging: Willingness to Pay for Consultation towards Improved Forest Management," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322477, Agricultural and Applied Economics Association.
    3. Penn, Jerrod & Hu, Wuyang & Alfaro-Inocente, Adriana & Bastola, Sapana, 2020. "Payment versus Charitable Donations to Attract Producer Survey Participation," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304329, Agricultural and Applied Economics Association.
    4. Gonzalo Villa‐Cox & Francesco Cavazza & Cristian Jordan & Mijail Arias‐Hidalgo & Paúl Herrera & Ramon Espinel & Davide Viaggi & Stijn Speelman, 2021. "Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 985-999, November.

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