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Estimation of treatment effects: recent developments and applications

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Abstract

The literature on the estimation of treatment effects has matured in economics. The potential outcomes framework guides the estimation of the causal effect of economic choices or policy interventions. The application of methods from the treatment effects literature has spread from the analysis of the effects of labor market programs and the wage return to education to other areas in economics. This special issue involves methodological developments and state-of-the art applications of methods to estimate treatment effects in various areas of economics. The contributions illustrate the emphasis within the treatment effects literature on the separate but related issues of heterogeneous treatment effects and identification. The careful, high-quality substantive applications collected here show just how much applied work on policy-relevant topics has benefitted from the methodological developments in the treatment effects literature. At the same time, many of the substantive papers make important methodological contributions as well. Copyright Springer-Verlag Berlin Heidelberg 2013

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  • Bernd Fitzenberger & Michael Lechner & Jeffrey Smith, 2013. "Estimation of treatment effects: recent developments and applications," Empirical Economics, Springer, vol. 44(1), pages 1-11, February.
    • Handle: RePEc:spr:empeco:v:44:y:2013:i:1:p:1-11
    DOI: 10.1007/s00181-012-0667-0
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    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. Tobias Klein, 2013. "College education and wages in the U.K.: estimating conditional average structural functions in nonadditive models with binary endogenous variables," Empirical Economics, Springer, vol. 44(1), pages 135-161, February.
    3. Sascha Becker & Peter Egger, 2013. "Endogenous product versus process innovation and a firm’s propensity to export," Empirical Economics, Springer, vol. 44(1), pages 329-354, February.
    4. Stephen Bell & M. Bradley, 2013. "Calculating long-run impacts of social programs with staggered implementation," Empirical Economics, Springer, vol. 44(1), pages 163-187, February.
    5. Bart, COCKX & Stéphane, ROBIN & Christian, GOEBEL, 2006. "Income support policies for part-time workers : a stepping-stone to regular jobs ? An application to young long-terme unemployed women in Belgium," Discussion Papers (ECON - Département des Sciences Economiques) 2006050, Université catholique de Louvain, Département des Sciences Economiques.
    6. Sandra Cavaco & Denis Fougère & Julien Pouget, 2013. "Estimating the effect of a retraining program on the re-employment rate of displaced workers," Empirical Economics, Springer, vol. 44(1), pages 261-287, February.
    7. Steven Lehrer & Gregory Kordas, 2013. "Matching using semiparametric propensity scores," Empirical Economics, Springer, vol. 44(1), pages 13-45, February.
    8. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    9. Jeffrey Zabel & Saul Schwartz & Stephen Donald, 2013. "An analysis of the impact of the self-sufficiency project on wages," Empirical Economics, Springer, vol. 44(1), pages 231-259, February.
    10. Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
    11. Bart Cockx & Christian Goebel & Stéphane Robin, 2013. "Can income support for part-time workers serve as a stepping-stone to regular jobs? An application to young long-term unemployed women," Empirical Economics, Springer, vol. 44(1), pages 189-229, February.
    12. Fredriksson, Peter & Johansson, Per, 2008. "Dynamic Treatment Assignment," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 435-445.
    13. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    14. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    15. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
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    Cited by:

    1. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    2. María-Jesús Mancebón & Domingo P. Ximénez-de-Embún & Mauro Mediavilla & José-María Gómez-Sancho, 2015. "Does educational management model matter? New evidence for Spain by a quasiexperimental approach," Working Papers 2015/40, Institut d'Economia de Barcelona (IEB).

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    More about this item

    Keywords

    Estimation of treatment effects; Identification; Heterogeneity; C31; J68; C14;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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