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Explaining the size and nature of response in a survey on health status and economic standard

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  • Johansson, Fredrik

    (Department of Economics)

  • Klevmarken, Anders

    (Department of Economics)

Abstract

Using rich register data to analyze response behavior in a survey on health and economic standard, a model to explain contact and participation probabilities is estimated. A main result is that both probabilities are lower among respondents out of the labor market, who are immigrants and on benefits.

Suggested Citation

  • Johansson, Fredrik & Klevmarken, Anders, 2006. "Explaining the size and nature of response in a survey on health status and economic standard," Working Paper Series 2006:2, Uppsala University, Department of Economics.
    • Handle: RePEc:hhs:uunewp:2006_002
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    References listed on IDEAS

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    Cited by:

    1. Johansson, Fredrik, 2007. "How to Adjust for Nonignorable Nonresponse: Calibration, Heckit or FIML?," Working Paper Series 2007:22, Uppsala University, Department of Economics.
    2. Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
    3. McCarthy, Jaki S. & Jacob, Thomas & McCraken, Amanda, 2010. "Modeling Non-response in National Agricultural Statistics Service (NASS) Surveys Using Classification Trees," NASS Research Reports 235029, United States Department of Agriculture, National Agricultural Statistics Service.

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    More about this item

    Keywords

    Nonresponse; Response process;

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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