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General Remedies to Local Problems: An Applied Researcher’s Manual to Multiple Imputation

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  • Kyureghian, Gayaneh
  • Capps, Oral, Jr.
  • Nayga, Rodolfo M., Jr.

Abstract

Nonresponse is a pervasive and persistent problem in survey data. This research reviews several methods for imputing missing values. A special emphasis is placed on the multiple imputation methods as a more generalizable advanced remedy to missingness. An empirical application of these methods, along with a regression or conditional mean imputation, is provided. Contingent upon certain properties of data, inference based guidance to the choice and implementation of these methods is provided.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aaea11:108266
    DOI: 10.22004/ag.econ.108266
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index Data in the Eating and Health Module," Technical Bulletins 131556, United States Department of Agriculture, Economic Research Service.
    2. Hamrick, Karen S., 2012. "Nonresponse Bias Analysis of Body Mass Index in the Eating and Health Module," Technical Bulletins 184303, United States Department of Agriculture, Economic Research Service.

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      Research Methods/ Statistical Methods;

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