IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v9y2002i5p311-314.html
   My bibliography  Save this article

Using a multiple imputation technique to merge data sets

Author

Listed:
  • Jeffrey Brown

Abstract

Surprisingly, despite the fact that the information needed to address a research question is often spread across separate surveys, there is not a well established method for merging data sets prior to analysis. This letter presents a relatively straightforward method for merging information from separate surveys of representative samples drawn from the same population. It uses a multiple imputation technique that was originally developed to correct for missing values on items from survey data. The advantage of the process is that it accounts for the variance related to merging separate data sets, as well as the sample variance present in any sample survey. This provides more accurate estimates of the precision of the coefficients of interest than ad hoc alternatives.

Suggested Citation

  • Jeffrey Brown, 2002. "Using a multiple imputation technique to merge data sets," Applied Economics Letters, Taylor & Francis Journals, vol. 9(5), pages 311-314.
    • Handle: RePEc:taf:apeclt:v:9:y:2002:i:5:p:311-314
    DOI: 10.1080/13504850110069980
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/13504850110069980&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504850110069980?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vicki Freedman & Douglas Wolf, 1995. "A case study on the use of multiple imputation," Demography, Springer;Population Association of America (PAA), vol. 32(3), pages 459-470, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Demirbag, Mehmet & Tatoglu, Ekrem & Glaister, Keith W., 2007. "Factors influencing perceptions of performance: The case of western FDI in an emerging market," International Business Review, Elsevier, vol. 16(3), pages 310-336, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Zafar Nazarov, 2011. "Multiple Imputation for Combined-Survey Estimation With Incomplete Regressors In One But Not Both Surveys," Working Papers WR-887-1, RAND Corporation.
    2. Brent Berry, 2008. "Financial Transfers from Living Parents to Adult Children: Who Is Helped and Why?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 67(2), pages 207-239, April.
    3. Angela Greulich & Michael Rendall, 2014. "Multiple imputation for demographic hazard models with left-censored predictor variables," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01298942, HAL.
    4. Angela Greulich & Michael Rendall, 2014. "Multiple imputation for demographic hazard models with left-censored predictor variables," Working Papers hal-01298942, HAL.
    5. Sharon Sassler & Soma Roy & Elizabeth Stasny, 2014. "Men’s economic status and marital transitions of fragile families," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(3), pages 71-110.
    6. Michael S. Rendall & Bonnie Ghosh-Dastidar & Margaret M. Weden & Elizabeth H. Baker & Zafar Nazarov, 2013. "Multiple Imputation for Combined-survey Estimation With Incomplete Regressors in One but Not Both Surveys," Sociological Methods & Research, , vol. 42(4), pages 483-530, November.
    7. Gabriele Beissel Durrant, 2009. "Imputation Methods for Handling Item-Nonresponse in the Social Sciences: A Methodological Review," Working Papers id:2007, eSocialSciences.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:taf:apeclt:v:9:y:2002:i:5:p:311-314. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.