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Model specification tests and the estimation of treatment effects: An application with random and non-random administrative records

Author

Listed:
  • Chen, Tao

    (University of Waterloo)

  • Chen, Tao

    (Jianghan University)

  • Couch, Kenneth A.

    (University of Connecticut)

Abstract

In addition to existing model specification tests based on over identifying information from pre-program periods, this paper conducts a new nonparametric test based on the concept of unconditional bounding. This test has the advantage that it does not require pre-program information on participants. The nonparametric bounding test yields similar information about model misspecification to the standard test based on over identifying information. As an illustration, we apply the test to administrative records from the Jobs First experiment in Connecticut. Records on other welfare recipients are used to provide quasi-experimental panel regression estimates of the impact of time limiting benefits on labor market earnings.

Suggested Citation

  • Chen, Tao & Chen, Tao & Couch, Kenneth A., 2016. "Model specification tests and the estimation of treatment effects: An application with random and non-random administrative records," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 1-16.
  • Handle: RePEc:ris:iosjes:0046
    as

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    More about this item

    Keywords

    Model misspecification; unconditional bounding; administrative records;
    All these keywords.

    JEL classification:

    • A13 - General Economics and Teaching - - General Economics - - - Relation of Economics to Social Values

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