Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ems/eureir/9779.html
   My bibliography  Save this paper

Instrumental variable estimation for duration data

Author

Listed:
  • Bijwaard, G.E.
Abstract
In this article we focus on duration data with an endogenous variable for which an instrument is available. In duration analysis the covariates and/or the effect of the covariates may vary over time. Another complication of duration data is that they are usually heavy censored. The hazard rate is invariant to censoring. Therefore, a natural choice is to model the hazard rate instead of the mean. We develop an Instrumental Variable estimation procedure for the Generalized Accelerated Failure Time (GAFT) model. The GAFT model is a duration data model that encompasses two competing approaches to such data; the (Mixed) Proportional Hazard (MPH) model and the Accelerated Failure Time (AFT) model. We discuss the large sample properties of this Instrumental Variable Linear Rank (IVLR) estimation based on counting process theory. We show that choosing the right weight function in the IVLR can improve its efficiency. We discuss the implementation of the estimator and apply it to the Illinois re-employment bonus experiment.

Suggested Citation

  • Bijwaard, G.E., 2007. "Instrumental variable estimation for duration data," Econometric Institute Research Papers EI 2007-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    • Handle: RePEc:ems:eureir:9779
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/9779/EI2007-14.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gerard J. van den Berg & Bas van der Klaauw & Jan C. van Ours, 2004. "Punitive Sanctions and the Transition Rate from Welfare to Work," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 211-241, January.
    2. Geert Ridder, 1990. "The Non-Parametric Identification of Generalized Accelerated Failure-Time Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 167-181.
    3. Woodbury, Stephen A & Spiegelman, Robert G, 1987. "Bonuses to Workers and Employers to Reduce Unemployment: Randomized Trials in Illinois," American Economic Review, American Economic Association, vol. 77(4), pages 513-530, September.
    4. 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.
    5. van den Berg, G. & van der Klaauw, B. & van Ours, J.C., 1998. "Punitive sanctions and the transition from welfare to work," Discussion Paper 1998-56, Tilburg University, Center for Economic Research.
    6. Rafael Lalive & Jan C. van Ours & Josef Zweimüller, 2005. "The Effect Of Benefit Sanctions On The Duration Of Unemployment," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1386-1417, December.
    7. Bijwaard, Govert E. & Ridder, Geert, 2005. "Correcting for selective compliance in a re-employment bonus experiment," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 77-111.
    8. Moffitt, Robert, 1983. "An Economic Model of Welfare Stigma," American Economic Review, American Economic Association, vol. 73(5), pages 1023-1035, December.
    9. 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.
    10. Cees Gorter & Guyonne R. J. Kalb, 1996. "Estimating the Effect of Counseling and Monitoring the Unemployed Using a Job Search Model," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 590-610.
    11. 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.
    12. Abbring, Jaap H & van den Berg, Gerard J, 2005. "Social experiments and intrumental variables with duration outcomes," Working Paper Series 2005:11, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Geert Ridder & Tiemen Woutersen, 2001. "The Singularity of the Efficiency Bound of the Mixed Proportional Hazard Model," University of Western Ontario, Departmental Research Report Series 20019, University of Western Ontario, Department of Economics.
    14. Ashenfelter, Orley & Ashmore, David & Deschenes, Olivier, 2005. "Do unemployment insurance recipients actively seek work? Evidence from randomized trials in four U.S. States," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 53-75.
    15. Koenker R. & Geling O., 2001. "Reappraising Medfly Longevity: A Quantile Regression Survival Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 458-468, June.
    16. 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.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zein Kallas & Teresa Serra & José Maria Gil, 2010. "Farmers’ objectives as determinants of organic farming adoption: the case of Catalonian vineyard production," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 409-423, September.
    2. Jaeun Choi & A. James O'Malley, 2017. "Estimating the causal effect of treatment in observational studies with survival time end points and unmeasured confounding," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 159-185, January.
    3. Bijwaard Govert E. & Ridder Geert & Woutersen Tiemen, 2013. "A Simple GMM Estimator for the Semiparametric Mixed Proportional Hazard Model," Journal of Econometric Methods, De Gruyter, vol. 2(1), pages 1-23, July.
    4. Spierdijk, Laura & van Lomwel, Gijsbert & Peppelman, Wilko, 2009. "The determinants of sick leave durations of Dutch self-employed," Journal of Health Economics, Elsevier, vol. 28(6), pages 1185-1196, December.
    5. Chen, Songnian, 2019. "Quantile regression for duration models with time-varying regressors," Journal of Econometrics, Elsevier, vol. 209(1), pages 1-17.
    6. Andreas P. Kyriacou & Francisco José López Velásquez, 2015. "An Examination of the Long-Term Determinants of Constitutional Endurance: Geography, Diversity, and Historical Legacies," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 171(3), pages 432-455, September.
    7. Berg, Gerard J. van den & Bonev, Petyo & Mammen, Enno, 2016. "Nonparametric instrumental variable methods for dynamic treatment evaluation," Working Papers 16-02, University of Mannheim, Department of Economics.
    8. Michael S. Dahl & Olav Sorenson, 2012. "Home Sweet Home: Entrepreneurs' Location Choices and the Performance of Their Ventures," Management Science, INFORMS, vol. 58(6), pages 1059-1071, June.
    9. Richard I. D. Harris & Qian Cher Li, 2010. "Export‐Market Dynamics And The Probability Of Firm Closure: Evidence For The United Kingdom," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(2), pages 145-168, May.
    10. Kim Economides & Alfred A. Haug & Joe McIntyre, 2013. "Are Courts Slow? Exposing and Measuring the Invisible Determinants of Case Disposition Time," Working Papers 1317, University of Otago, Department of Economics, revised Nov 2013.
    11. Millán-Quijano, Jaime, 2015. "Drugs, guns and early motherhood in Colombia," UC3M Working papers. Economics we1509, Universidad Carlos III de Madrid. Departamento de Economía.
    12. Aviad Pe'er & Ilan Vertinsky & Thomas Keil, 2016. "Growth and survival: The moderating effects of local agglomeration and local market structure," Strategic Management Journal, Wiley Blackwell, vol. 37(3), pages 541-564, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bijwaard, G.E., 2007. "Instrumental variable estimation of treatment effects for duration outcomes," Econometric Institute Research Papers EI 2007-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. G.E. Bijwaard, 2002. "Instrumental Variable Estimation for Duration Data: A Reappraisal of the Illinois Reemployment Bonus Experiment," Econometrics 0204001, University Library of Munich, Germany.
    3. van der Klaauw, B. & van Ours, J.C., 2010. "Carrot and Stick : How Reemployment Bonuses and Benefit Sanctions Affect Job Finding Rates," Other publications TiSEM f368f876-0bd7-499d-8211-d, Tilburg University, School of Economics and Management.
    4. Stefanie Behncke & Markus Frölich & Michael Lechner, 2010. "Unemployed and their caseworkers: should they be friends or foes?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 67-92, January.
    5. Emmanuel Duguet & Florent Frémigacci & Yannick L’Horty, 2008. "Indemnisation du chômage et retour à l’emploi : un examen économétrique," Documents de recherche 08-07, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    6. Gerard J. van den Berg & Bas van der Klaauw, 2019. "Structural Empirical Evaluation Of Job Search Monitoring," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 879-903, May.
    7. Bijwaard, Govert E. & Ridder, Geert, 2005. "Correcting for selective compliance in a re-employment bonus experiment," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 77-111.
    8. DUNCAN McVICAR, 2010. "Does Job Search Monitoring Intensity Affect Unemployment? Evidence from Northern Ireland," Economica, London School of Economics and Political Science, vol. 77(306), pages 296-313, April.
    9. Jonas Maibom & Michael Rosholm & Michael Svarer, 2017. "Experimental Evidence on the Effects of Early Meetings and Activation," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(3), pages 541-570, July.
    10. Jaap Abbring & James Heckman, 2008. "Dynamic policy analysis," CeMMAP working papers CWP05/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Hyun Kim & Yong-seong Kim & Myoung-jae Lee, 2012. "Treatment effect analysis of early reemployment bonus program: panel MLE and mode-based semiparametric estimator for interval truncation," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 11(3), pages 189-209, December.
    12. Gautier, Pieter A. & van der Klaauw, Bas, 2009. "Institutions and labor market outcomes in the Netherlands," Working Paper Series 2009:28, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    13. Bruno Crépon & Muriel Dejemeppe & Marc Gurgand, 2005. "Counseling the unemployed: does it lower unemployment duration and recurrence?," Working Papers halshs-00590769, HAL.
    14. Gerard J. van den Berg & Bas van der Klaauw, 2005. "Job Search Monitoring and Sanctions," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 3(2), pages 26-29, 07.
    15. Bruno Crépon & Gerard J. van den Berg, 2016. "Active Labor Market Policies," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 521-546, October.
    16. Vikström, Johan & Ridder, Geert & Weidner, Martin, 2018. "Bounds on treatment effects on transitions," Journal of Econometrics, Elsevier, vol. 205(2), pages 448-469.
    17. Bart Cockx & Muriel Dejemeppe & Andrey Launov & Bruno Van der Linden, 2018. "Imperfect Monitoring of Job Search: Structural Estimation and Policy Design," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 75-120.
    18. M. Daniele Paserman, 2008. "Job Search and Hyperbolic Discounting: Structural Estimation and Policy Evaluation," Economic Journal, Royal Economic Society, vol. 118(531), pages 1418-1452, August.
    19. Graversen, B.K. & van Ours, J.C., 2006. "How to Help Unemployed Find Jobs Quickly : Experimental Evidence from a Mandatory Activation Program," Other publications TiSEM 4762e132-4660-4c32-8813-5, Tilburg University, School of Economics and Management.
    20. Gerard J. Berg & Johan Vikström, 2014. "Monitoring Job Offer Decisions, Punishments, Exit to Work, and Job Quality," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 284-334, April.

    More about this item

    Keywords

    censoring; duration model; endogenous variable; instrumental variable;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ems:eureir:9779. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/feeurnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.