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Testing for Nonresponse Bias

Author

Listed:
  • Eric Hirst

    (Oak Ridge National Laboratory)

  • Richard Goeltz

    (Oak Ridge National Laboratory)

Abstract

This article discusses two recent evaluations of utility energy conservation programs in which testsfor nonresponse bias were possible. In these evaluations, data were obtained both from the sponsoring utilities (fuel consumption records, energy audit reports) and from households (mail and telephone surveys). Fortunately, data from one source was usually available for those households missing datafrom the other source. This permitted comparisons of respondents and nonrespondents on several dimensions—pre- and post- program energy consumption, energy audit results, and household demographic char acteristics.

Suggested Citation

  • Eric Hirst & Richard Goeltz, 1984. "Testing for Nonresponse Bias," Evaluation Review, , vol. 8(2), pages 269-278, April.
    • Handle: RePEc:sae:evarev:v:8:y:1984:i:2:p:269-278
    DOI: 10.1177/0193841X8400800208
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    References listed on IDEAS

    as
    1. Olsen, Randall J, 1980. "A Least Squares Correction for Selectivity Bias," Econometrica, Econometric Society, vol. 48(7), pages 1815-1820, November.
    2. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
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