Policy-Relevant Treatment Effects

By James J. Heckman, E. Vytlacil. 2001

333 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/07d46ed48060d295c73c4a039dc4d1af080051ef

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Citations in the corpus

From Late to MTE: Alternative Methods for the Evaluation of Policy Interventions (2016, methodology): “It was extended in a series of papers by Heckman and Vytlacil (1999, 2001b, 2005, 2007) who define the MTE as the gain from treatment for individuals shifted into (or out of) treatment by a marginal change in the propensity score (i.e., the predicted probability of treatment, which is a function of…”
What Linear Estimators Miss: The Effects of Family Income on Child Outcomes (2011, background): “See Heckman and Vytlacil (2001) for a discussion of policy-relevant treatment parameters.”
Who participates in R&D subsidy programs?: The case of Spanish manufacturing firms (2004, background): “Programs may fail to reach their goals if many potentially 5 See Ashenfelter (1978), and Heckman and Vytlacil (2001).”
Price Knowledge in Household Demand for Utility Services (2005, background): “These are policy relevant treatment effects (Heckman and Vytlacil 2001) and provide an alternative to standard welfare measures of policy impacts when the conditions for utility maximization may not be satisfied.”
Identification of Social Interactions (2011, positive): “This may involve the development of measures of “social interactions-relevant treatment effects” which contrast with the standard treatment effect measures that economists use; such a development would parallel the work on policy-relevant treatment effects of Heckman and Vytlacil (2001).”
ON T HE SPECIFICATION A ND ESTIMATION OF T HE PRODUCTION F UNCTION F OR COGNITIVE ACHIEVEMENT (2003, neutral): “For a discussion of different kinds of policy relevant treatment effect parameters, see Heckman (2000, 2001) and Heckman and Vytlacil (2001).”
Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond (2005, neutral): “Standard estimates of the returns to schooling, such as the ones obtained using the method of least squares, as in the vast literature surveyed by Katz and Autor (1999), or using the method of instrumental variables, as surveyed by Card (1999), are not designed to produce either of the policy parame”
The Effect of Male Migration on Employment Patterns of Women in Nepal (2009, methodology): “To account for the unobserved heterogeneity, the marginal treatment effect (MTE) is estimated, using the framework introduced by Bjorklund and Moffitt (1987) and developed by Heckman and Vytlacil (1999, 2000, 2001, 2005).”
Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators? (2005, neutral): “See, e.g., Eberwein, Ham and LaLonde (1997), Heckman, Smith and Clements (1997), Heckman, LaLonde and Smith (1999), Heckman (2001), Heckman, Tobias and Vytlacil (2001) and Heckman and Vytlacil (2001) for discussions of other parameters of interest.”
Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture (2001, methodology): “41 Carneiro et al. (2001), Dustmann and Meghir (2001), and Heckman and Vytlacil (2001c, 2001d) present estimates based on correlated random coefficient models. nobel lecture 713 recursively (see, e.g., Rust 1996).42 This adds further difficulty to the estimation of structural equations.”