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

Author

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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
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    File URL: http://purl.umn.edu/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.

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    Research Methods/ Statistical Methods;

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