IDEAS home Printed from
   My bibliography  Save this paper

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


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


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

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    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.

    More about this item


    Research Methods/ Statistical Methods;


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea11:108266. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.