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Instrumental Variable Estimation of Treatment Effects for Duration Outcomes

  • Bijwaard, Govert

    ()

    (NIDI - Netherlands Interdisciplinary Demographic Institute)

In this article we propose and implement an instrumental variable estimation procedure to obtain treatment effects on duration outcomes. The method can handle the typical complications that arise with duration data of time-varying treatment and censoring. The treatment effect we define is in terms of shifting the quantiles of the outcome distribution based on the Generalized Accelerated Failure Time (GAFT) model. The GAFT model encompasses two competing approaches to duration data; the (Mixed) Proportional Hazard (MPH) model and the Accelerated Failure Time (AFT) model. We discuss the large sample properties of the proposed Instrumental Variable Linear Rank (IVLR), and show how we can, with one additional step, improve upon its efficiency. We discuss the empirical implementation of the estimator and apply it to the Illinois re-employment bonus experiment.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 2896.

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Length: 42 pages
Date of creation: Jul 2007
Date of revision:
Publication status: published in: H. Engelhardt, H.-P. Kohler and A. F├╝rnkranz-Prskawetz (eds.), Causal Analysis in Population Studies: Concepts, Methods, Applications, Springer-Verlag: 2009, 111-148
Handle: RePEc:iza:izadps:dp2896
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  1. Meyer, Bruce D, 1996. "What Have We Learned from the Illinois Reemployment Bonus Experiment?," Journal of Labor Economics, University of Chicago Press, vol. 14(1), pages 26-51, January.
  2. Govert Bijwaard & Geert Ridder, 1998. "Correcting for Selective Compliance in a Re-Employment Bonus Experiment," Economics Working Paper Archive 412, The Johns Hopkins University,Department of Economics.
  3. van den Berg, Gerard J & van der Klaauw, Bas & van Ours, Jan C, 2000. "Punitive Sanctions and the Transition Rate From Welfare to Work," CEPR Discussion Papers 2447, C.E.P.R. Discussion Papers.
  4. Stephen A. Woodbury & Robert G. Spiegelman, . "Bonuses to Workers and Employers to Reduce unemployment: Randomized Trials in Illinois," Upjohn Working Papers and Journal Articles sawrgs1987, W.E. Upjohn Institute for Employment Research.
  5. Han, Aaron K., 1987. "Non-parametric analysis of a generalized regression model : The maximum rank correlation estimator," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 303-316, July.
  6. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, 09.
  7. Ridder, Geert, 1990. "The Non-parametric Identification of Generalized Accelerated Failure-Time Models," Review of Economic Studies, Wiley Blackwell, vol. 57(2), pages 167-81, April.
  8. Ashenfelter, Orley & Ashmore, David & Deschenes, Olivier, 2000. "Do Unemployment Insurance Recipients Actively Seek Work? Evidence From Randomized Trials in Four U.S. States," IZA Discussion Papers 128, Institute for the Study of Labor (IZA).
  9. 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.
  10. 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.
  11. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
  12. Jaap Abbring & Gerard van den Berg, 2005. "Social experiments and instrumental variables with duration outcomes," IFS Working Papers W05/19, Institute for Fiscal Studies.
  13. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
  14. Ham, John C & LaLonde, Robert J, 1996. "The Effect of Sample Selection and Initial Conditions in Duration Models: Evidence from Experimental Data on Training," Econometrica, Econometric Society, vol. 64(1), pages 175-205, January.
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