Econometric Evaluation of Social Programs, Part III: Distributional Treatment Effects, Dynamic Treatment Effects, Dynamic Discrete Choice, and General Equilibrium Policy Evaluation

By J. Abbring, James J. Heckman. 2007

298 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d7c7c179ecff589f47fd1de90f0b130f6f20cf6d

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Citations in the corpus

Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees (2010, background): “…between the two outcome distributions or independence between the distribution of untreated outcomes and the distribution of treatment effects, the whole distribution of treatment effects can be identified (Heckman, Smith, and Clements 1997; Abbring and Heckman 2007; Djebbari and Smith 2008).”
Estimating the Benefits of Targeted R&D Subsidies (2013, methodology): “In this sense, our approach complements existing work on estimating general equilibrium treatment effects (see Heckman, Lochner, & Taber, 1998; Abbring & Heckman, 2007).”
PARTIAL IDENTIFICATION OF THE DISTRIBUTION OF TREATMENT EFFECTS AND ITS CONFIDENCE SETS (2009, background): “(1997), Biddle, Boden, and Reville (2003), Carneiro, Hansen, and Heckman (2003), Aakvik, Heckman, and Vytlacil (2005), and Abbring and Heckman (2007), among others.”
2008-2 Earnings Functions and Rates of Return (2008, background): “(38)See surveys of the evidence in Heckman, Lochner, and Todd (2006) and Abbring and Heckman (2007). (39)See, e.g., Oreopoulos (2007). (40)See, e.g., Card (1995, 1999); Carneiro, Hansen, and Heckman (2001); Carneiro, Heckman, and Vytlacil (2006); Griliches (1977); Heckman and Vytlacil (1998); Willis”
Pre-Event Trends in the Panel Event-Study Design (2019, methodology): “An alternative approach available in this case is to use the methods developed in the literature on measurement errors (Abbring and Heckman 2007; Heckman and Vytlacil 2007).”
Inference on breakdown frontiers (2017, background): “In their introduction, Fan, Guerre, and Zhu (2017) provided a comprehensive discussion of this literature; also see Abbring and Heckman (2007, Section 2). Here we focus on the papers most related to our sensitivity analysis. Heckman, Smith, and Clements (1997) performed a sensitivity analysis to the”
The Identification and Economic Content of Ordered Choice Models with Stochastic Thresholds (2007, unknown): “See the survey in Abbring and Heckman (2007).”
SHARP BOUNDS ON THE DISTRIBUTION OF TREATMENT EFFECTS AND THEIR STATISTICAL INFERENCE (2009, background): “Abbring and Heckman (2007) provides a detailed survey of recent analyses using the second approach. In this paper, we take the bounding approach and study the estimation and inference on sharp bounds on the distribution of the treatment effects. Unlike Manski (1997a), we do not assume monotone treat”
Comparing IV With Structural Models: What Simple IV Can and Cannot Identify (2010, unknown): “Conditions for identification of general dynamic discrete choice models are presented in Abbring and Heckman (2007). Conditions for identification in multinomial models that do not require ‘‘identification at infinity’’ are given in Fox and Gandhi (unpublished).”
A Simple Estimator for Binary Choice Models with Endogenous Regressors (2015, methodology): “The special regressor method has been employed in a wide variety of limited dependent variable models including binary, ordered, and multinomial choice as well as censored regression, selection, and treatment models (Lewbel, 1998, 2000, 2007a), truncated regression models (Khan and Lewbel, 2007), bi”