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From Late to MTE: Alternative Methods for the Evaluation of Policy Interventions. (2016). Schoenberg, Uta ; Raute, Anna ; dustmann, christian ; Cornelissen, Thomas ; Schonberg, Uta.
In: IZA Discussion Papers.
RePEc:iza:izadps:dp10056.

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  67. Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance. (2018). dustmann, christian ; Cornelissen, Thomas ; Schonberg, Uta ; Raute, Anna.
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  71. Who benefits from universal child care? Estimating marginal returns to early child care attendance. (2018). Schoenberg, Uta ; Raute, Anna ; dustmann, christian ; Cornelissen, Thomas ; Schonberg, Uta.
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  72. Womens Empowerment in Action: Evidence from a Randomized Control Trial in Africa. (2018). Rasul, Imran ; Gulesci, Selim ; Sulaiman, Munshi ; Goldstein, Markus P ; Burgess, Robin ; Buehren, Niklas ; Bandiera, Oriana.
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  73. Who benefits from universal child care? Estimating marginal returns to early child care attendance. (2018). Raute, Anna ; dustmann, christian ; Schonberg, Uta ; Cornelissen, Thomas.
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  74. Does Early Child Care Affect Childrens Development?. (2018). Felfe, Christina ; Lalive, Rafael.
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  75. Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendanc. (2018). Raute, Anna ; dustmann, christian ; Cornelissen, Thomas ; Schonberg, Uta.
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  76. On Heckits, LATE, and Numerical Equivalence. (2018). Kline, Patrick ; Walters, Christopher R.
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  77. On Heckits, LATE, and Numerical Equivalence. (2018). Kline, Patrick ; Walters, Christopher R.
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  78. Detailed RIF Decomposition with Selection - The Gender Pay Gap in Italy. (2017). Topfer, Marina.
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  79. Detailed RIF decomposition with selection: The gender pay gap in Italy. (2017). Topfer, Marina.
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  80. Effects of Subsidized Childcare on Mothers Labor Supply Under a Rationing Mechanism*. (2017). Kambayashi, Ryo ; Asai, Yukiko ; Yamaguchi, Shintaro.
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  81. Effects of Subsidized Childcare on Mothers’ Labor Supply Under a Rationing Mechanism. (2017). Kambayashi, Ryo ; Asai, Yukiko ; Yamaguchi, Shintaro.
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  82. Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review. (2017). Wüthrich, Kaspar ; Huber, Martin ; Wuthrich, Kaspar.
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  83. Heterogeneity in marginal returns to language training of immigrants. (1919). Schuss, Eric ; Giesecke, Matthias.
    In: IAB Discussion Paper.
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  18. 𝐸[𝑈1𝑖 − 𝑈0𝑖|𝐷 ̃𝑖 = 1]𝐸[𝐷 ̃𝑖] − 𝐸[𝑈1𝑖 − 𝑈0𝑖|𝐷𝑖 = 1]𝐸[𝐷𝑖] 𝐸[𝐷 ̃𝑖] − 𝐸[𝐷𝑖|] B. Sketch of common estimation methods for the MTE B.1 Semi-parametric estimation A semi-parametric version of estimating (26) consists in the following steps (see for example Appendix B of Heckman et al., 2006, for a more detailed description): a. Purging 𝑋 and 𝑋𝑝̂ from the effect of 𝐾(𝑝̂) by regressing each of them in turn on 𝑝̂ using local polynomial regression (or a parametric polynomial in 𝑝̂), and predicting the residuals. b. Regressing 𝑌 on the residualized version of 𝑋 and 𝑋𝑝̂ obtained under a. using a linear regression, and predicting the residual. c. Regress the residualized version of 𝑌 obtained under b. on 𝑝̂ by local polynomial regression to identify 𝐾(𝑝̂). d. Obtain the MTE curve as the derivative of 𝐾(𝑝̂).
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  19. Eisenhauer, Philipp, James J. Heckman, and Edward Vytlacil. 2015. “The generalized Roy model and the cost-benefit analysis of social programs.” The Journal of Political Economy 123 (2): 413–443.

  20. Felfe, Christina, and Rafael Lalive. 2015. “Does Early Child Care Affect Children’s Development” Unpublished Manuscript.
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  21. French, Eric, and Christopher Taber. 2011. “Identification of Models of the Labor Market.” Chap. 6 in Handbook of Labor Economics, ed. by Orley Ashenfelter and David Card, 4, Part A: 537–617. Amsterdam: Elsevier.
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  23. Heckman, James J, Sergio Urzúa, and Edward Vytlacil. 2006. “Understanding Instrumental Variables in Models with Essential Heterogeneity.” Review of Economics and Statistics 88 (3): 389–432.
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  24. Heckman, James J. 1976. “The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models.” Annals of Economic and Social Measurement 5 (4): 475–492.

  25. Heckman, James J. 1997. “Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations.” Journal of Human Resources 32 (3): 441–462.

  26. Heckman, James J., and Edward Vytlacil. 1998. “Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return Is Correlated with Schooling.” The Journal of Human Resources 33 (4): 974– 87.

  27. Heckman, James J., and Edward Vytlacil. 1999. “Local Instrumental Variables and Latent Variable Models for Identifying and Bounding Treatment Effects.” Proceedings of the National Academy of Sciences 96(8): 4730–4734.
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  28. Heckman, James J., and Edward Vytlacil. 2001b. “Local Instrumental Variables.” In: Hsiao, C., Morimune, K., Powell, J. (Eds.), Nonlinear Statistical Modeling: Essays in Honor of Takeshi Amemiya. Cambridge: Cambridge University Press.
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  29. Heckman, James J., and Edward Vytlacil. 2005. “Structural Equations, Treatment Effects, and Econometric Policy Evaluation.” Econometrica 73 (3): 669–738.

  30. Heckman, James J., and Edward Vytlacil. 2007. “Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments.” Chap. 71 in Handbook of Econometrics, ed. by James J. Heckman and Edward E. Leamer. Amsterdam: Elsevier.

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  33. Heckman, James J., and Sergio Urzúa. 2010. “Comparing IV with Structural Models: What Simple IV Can and Cannot Identify.” Journal of Econometrics 156 (1): 27–37.

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  39. Kaufmann, Katja M.. 2014. “Understanding the Income Gradient in College Attendance in Mexico: The Role of Heterogeneity in Expected Returns.” Quantitative Economics 5 (3): 583– 630.

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  43. Maestas, Nicole, Kathleen J Mullen, and Alexander Strand. 2013. “Does Disability Insurance Receipt Discourage Work? Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt.” American Economic Review 103 (5): 1797–1829.

  44. Noboa-Hidalgo, Grace E., and Sergio S. Urzúa. 2012. “The Effects of Participation in Public Child Care Centers: Evidence from Chile”. Journal of Human Capital 6 (1): 1–34.

  45. Nybom, Martin. 2014. “The Distribution of Lifetime Earnings Returns to College.” Working Paper 2/2014, Swedish Institute for Social Research, Stockholm University.

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    In: Working Papers of BETA.
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  2. The Impacts of Vocational Rehabilitation. (2014). Røed, Knut ; Markussen, Simen.
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  3. Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings. (2013). Roux, Sébastien ; Pistolesi, Nicolas ; Magnac, Thierry.
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  4. Inter Vivos Health Transfers: Final Days of Japanese Elderly Parents.. (2012). Maruyama, Shiko.
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  6. The Effects of Vocational Rehabilitation for People with Mental Illlness. (2011). Stern, Steven ; Pepper, John ; Dean, David ; Schmidt, Robert.
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  7. Does Coresidence Improve an Elderly Parent’s Health?. (2011). Maruyama, Shiko ; Johar, Meliyanni.
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  9. Activation in Ireland: An Evaluation of the National Employment Action Plan. (2011). Kelly, Elish ; McGuinness, Seamus ; O'Connell, Philip J. ; Walsh, John R..
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  11. Entering new country and product markets: does export promotion help?. (2010). Volpe Martincus, Christian ; Carballo, Jeronimo.
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  12. A causal interpretation of extensive and intensive margin effects in generalized Tobit models. (2010). Staub, Kevin.
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  13. Estimating Marginal Returns to Education. (2010). Vytlacil, Edward ; Heckman, James ; Carneiro, Pedro.
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  14. Estimating Marginal Returns to Education. (2010). Vytlacil, Edward ; Heckman, James ; Carneiro, Pedro.
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  15. Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures. (2010). Firpo, Sergio.
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  17. Entering New Country and Product Markets: Does Export Promotion Help?. (2010). Martincus, Christian Volpe.
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  25. Part-Time Sick Leave as a Treatment Method?. (2009). Andrén, Thomas ; Andren, D.
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  26. Evaluación del programa de Escuelas Taller y Casas de Oficios a partir de su efecto sobre el tiempo de búsqueda del primer empleo. El caso de Sevilla/. (2009). BARRIOS GARCÍA, J. A., ; GONZLEZ, MORALES B..
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  27. Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality. (2009). Lee, Sokbae (Simon) ; Carneiro, Pedro.
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  41. A Reappraisal of the Virtues of Private Sector Employment Programmes. (2006). Jensen, Peter ; Graversen, Brian Krogh .
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  42. Employment promotion measures and the quality of the job match for persons with disabilities. (2006). Muñoz-Bullón, Fernando ; Malo, Miguel ; Muoz-Bullon, Fernando .
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  43. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
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  44. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
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  45. Dynamic Discrete Choice and Dynamic Treatment Effects. (2005). Navarro, Salvador ; Heckman, James.
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  46. Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond. (2005). Todd, Petra ; Lochner, Lance ; Heckman, James.
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  47. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
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  48. Using Matching, Instrumental Variables and Control Functions to Estimate Economic Choice Models. (2003). Navarro, Salvador ; Heckman, James.
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  49. Using matching, instrumental variables and control functions to estimate economic choice models. (2003). Navarro, Salvador ; Heckman, James.
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  50. Should we teach old dogs new tricks? the impact of community college retraining on older displaced workers. (2003). Sullivan, Daniel ; LaLonde, Robert ; Jacobson, Louis S..
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