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Varying Biases in the Matching Estimates: Evidence from Two Randomized Job Search Training Experiments

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Author Info
Kari Hämäläinen
Roope Uusitalo
Jukka Vuori

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Abstract

We compare various matching estimators to the results of two randomized field experiments that evaluate employment effects of job search training programs. We find that commonly used non-experimental matching estimators tend to over-estimate the program effects and that the bias differs between programs owing to different procedures used in selecting the program participants. The bias is larger when participation is voluntary than when caseworkers assign the applicants to training. JEL codes: C93

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Paper provided by Government Institute for Economic Research Finland (VATT) in its series Discussion Papers with number 438.

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Date of creation: 07 Feb 2008
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Handle: RePEc:fer:dpaper:438

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Related research
Keywords: Job search training; field experiments; matching; unemployment;

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References listed on IDEAS
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  1. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, 06. [Downloadable!] (restricted)
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  2. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
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  3. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-20, September. [Downloadable!] (restricted)
  4. Peter Dolton & Donal O'Neill, 2002. "The Long-Run Effects of Unemployment Monitoring and Work-Search Programs: Experimental Evidence from the United Kingdom," Journal of Labor Economics, University of Chicago Press, vol. 20(2), pages 381-403, Part. [Downloadable!]
  5. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01. [Downloadable!] (restricted)
  6. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September. [Downloadable!]
  7. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 521-566, July. [Downloadable!]
  8. Roberto Agodini & Mark Dynarski, 2004. "Are Experiments the Only Option? A Look at Dropout Prevention Programs," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 180-194, 09. [Downloadable!] (restricted)
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