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Using internal replication to establish a treatment effect

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  • Johansson, Per

    () (IFAU - Institute for Labour Market Policy Evaluation)

Abstract

In many cases assignment to a treatment may affect concomitant variables. I show how a concomitant variable can be used to corroborate evidence from an observational study. In the observational study two types of training programs are compared. One program is part of regular Swedish labor market training while the other program was run by Swedish industry during 1998-2000. A large and positive effect on employment is found from this latter program. In this program it was much easier to get employer contact than in the regular program. From a survey I have information about employer contacts in the two programs. I find the same positive effect on employment from employer contacts in either program and no effects from the new program when conditioning on employer contacts. I interpret this as a causal effect on employment from employer contacts. In addition, this effect is found to be more pronounced for individuals with a weak position in the labor market.

Suggested Citation

  • Johansson, Per, 2006. "Using internal replication to establish a treatment effect," Working Paper Series 2006:3, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  • Handle: RePEc:hhs:ifauwp:2006_003
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    References listed on IDEAS

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    1. Fredriksson, Peter & Johansson, Per, 2004. "Dynamic Treatment Assignment – The Consequences for Evaluations Using Observational Data," IZA Discussion Papers 1062, Institute for the Study of Labor (IZA).
    2. Jaap H. Abbring & Gerard J. van den Berg, 2004. "Analyzing the effect of dynamically assigned treatments using duration models, binary treatment models, and panel data models," Empirical Economics, Springer, vol. 29(1), pages 5-20, January.
    3. Bruce D. Meyer, 1995. "Lessons from the U.S. Unemployment Insurance Experiments," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 91-131, March.
    4. Forslund, Anders & Johansson, Per & Lindqvist, Linus, 2004. "Employment subsidies - A fast lane from unemployment to work?," Working Paper Series 2004:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc.
    6. Lechner, Michael, 1999. "Earnings and Employment Effects of Continuous Off-the-Job Training in East Germany after Unification," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 74-90, January.
    7. Orley Ashenfelter & David Ashmore & Olivier Deschenes, 1998. "Do Unemployment Insurance Recipients Actively Seek Work? Randomized Trials in Four U.S. States," Working Papers 791, Princeton University, Department of Economics, Industrial Relations Section..
    8. Edin, Per-Anders & Lagerström, Jonas, 2006. "Blind dates: quasi-experimental evidence on discrimination," Working Paper Series 2006:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    9. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    10. Abbring, Jaap H. & van den Berg, Gerard J., 2002. "Dynamically assigned treatments: duration models, binary treatment models, and panel data models," Working Paper Series 2002:20, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," Review of Economic Studies, Oxford University Press, vol. 65(2), pages 261-294.
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    Citations

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    Cited by:

    1. Annette Bergemann & Gerard J. Van Den Berg, 2008. "Active Labor Market Policy Effects for Women in Europe - A Survey," Annals of Economics and Statistics, GENES, issue 91-92, pages 385-408.
    2. Philip de Jong & Maarten Lindeboom & Bas van der Klaauw, 2011. "Screening Disability Insurance Applications," Journal of the European Economic Association, European Economic Association, vol. 9(1), pages 106-129, February.
    3. Lalive, Rafael, 2008. "How do extended benefits affect unemployment duration A regression discontinuity approach," Journal of Econometrics, Elsevier, vol. 142(2), pages 785-806, February.
    4. Pekkarinen, Tuomas & Uusitalo, Roope & Pekkala Kerr, Sari, 2006. "Education Policy and Intergenerational Income Mobility: Evidence from the Finnish Comprehensive School Reform," IZA Discussion Papers 2204, Institute for the Study of Labor (IZA).
    5. Lundin, Daniela & Mörk, Eva & Öckert, Björn, 2007. "Do reduced child care prices make parents work more?," Working Paper Series 2007:2, IFAU - Institute for Evaluation of Labour Market and Education Policy.

    More about this item

    Keywords

    Evaluation; active labor market training; information technology; employment rate; propensity score matching; internal replication;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

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