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Using internal replication to establish a treatment effect

  • Johansson, Per

    ()

    (IFAU - Institute for Labour Market Policy Evaluation)

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.

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Paper provided by IFAU - Institute for Evaluation of Labour Market and Education Policy in its series Working Paper Series with number 2006:3.

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Length: 31 pages
Date of creation: 25 Apr 2006
Date of revision:
Handle: RePEc:hhs:ifauwp:2006_003
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  1. 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.
  2. 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.
  3. Orley Ashenfelter & David Ashmore & Olivier Deschenes, 1999. "Do Unemployment Insurance Recipients Actively Seek Work? Randomized Trials in Four U.S. States," NBER Working Papers 6982, National Bureau of Economic Research, Inc.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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).
  9. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
  10. 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.
  11. 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.
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