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Identification of Effects of Dynamic Treatments with a Difference-in-Differences Approach

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Author Info
Ruth Miquel ()
Abstract

This paper examines the power of a conditional difference-in-differences approach to nonparametrically identify the causal effects of sequences of interventions. In the classical difference-in-differences case, a period previous to the implementation of the intervention is used as a comparison period to get rid of common trends for treated and nontreated. When sequences of programs are studied, two different utilizations of the available information are possible to construct the comparison period. The first one only uses the information available in the period previous to the first possible intervention. The second one uses the information sequentially. Here, we use the information available between the interventions in addition to the period previous to the first intervention. Furthermore, we investigate if we still can achieve identification when participation to the sequences is decided sequentially on the intermediate results. Identification can be obtained in each case for all parameters of interest.

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Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2003 with number 2003-06.

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Length: 42 pages
Date of creation: Feb 2003
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Handle: RePEc:usg:dp2003:2003-06

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Keywords: Dynamic treatment effects sequential difference-in-differences sequences of programs.

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C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Lechner, Michael, 2004. "Sequential Matching Estimation of Dynamic Causal Models," IZA Discussion Papers 1042, Institute for the Study of Labor (IZA). [Downloadable!]
    Other versions:
  2. Meyer, Bruce D & Viscusi, W Kip & Durbin, David L, 1995. "Workers' Compensation and Injury Duration: Evidence from a Natural Experiment," American Economic Review, American Economic Association, vol. 85(3), pages 322-40, June. [Downloadable!] (restricted)
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  3. 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.
    Other versions:
  4. Richard Blundell & Alan Duncan & Costas Meghir, 1998. "Estimating Labor Supply Responses Using Tax Reforms," Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
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  5. Michael Lechner & Martin Eichler, 1999. "An Evaluation of Public Employment Programmes in the East German State of Sachsen-Anhalt," IZA Discussion Papers 94, Institute for the Study of Labor (IZA). [Downloadable!]
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  6. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267. [Downloadable!] (restricted)
  7. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  8. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2002. "How Much Should We Trust Differences-in-Differences Estimates?," NBER Working Papers 8841, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  9. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Blackwell Publishing, vol. 64(4), pages 605-54, October. [Downloadable!] (restricted)
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  11. Angrist, Joshua D. & Krueger, Alan B., 1999. "Empirical strategies in labor economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 23, pages 1277-1366 Elsevier. [Downloadable!] (restricted)
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  12. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-48, July. [Downloadable!] (restricted)
  13. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February. [Downloadable!] (restricted)
  14. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies. [Downloadable!]
  15. Ruth Miquel, 2002. "Identification of Dynamic Treatment Effects by Instrumental Variables," University of St. Gallen Department of Economics working paper series 2002 2002-11, Department of Economics, University of St. Gallen. [Downloadable!]
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  1. Michael Lechner & Ruth Miquel, 2005. "Identification of the Effects of Dynamic Treatments by Sequential Conditional Independence Assumptions," University of St. Gallen Department of Economics working paper series 2005 2005-17, Department of Economics, University of St. Gallen. [Downloadable!]
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