Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation

By James J. Heckman, E. Vytlacil. 2007

673 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Statistics and Probability

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Citations in the corpus

Deep Neural Networks for Estimation and Inference: Application to Causal Effects and Other Semiparametric Estimands (2018, methodology): “This is the same data that was used by Hitsch and Misra (2018) to study various estimators, both traditional and modern, of heterogeneous treatment effects.”
The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “Hill [2011] and Green and Kern [2012] apply these methods to estimate heterogeneous treatment effects.”
Estimation of Multivalued Treatment Effects under Conditional Independence (2013, background): “This assumption has a long history; see, among many others, Heckman, Ichimura, and Todd (1998), Imbens (2004), Heckman and Vytlacil (2007), Imbens and Wooldridge (2009), and Wooldridge (2010).”
Efficient Estimation of the Dose–Response Function Under Ignorability Using Subclassification on the Covariates (2011, methodology): “For a discussion of these alternative, well-known approaches see, e.g., Chen, Hong and Tarozzi (2004, 2008), Bang and Robins (2005), Imbens, Newey, and Ridder (2006), Tsiatis (2006), Heckman and Vytlacil (2007), Imbens and Wooldridge (2009), and references therein.”
Impact of tissue culture banana technology on farm household income and food security in Kenya (2014, methodology): “One option with cross-section data is to use propensity score matching, which can control for a bias due to observable characteristics (Heckman and Vytlacil, 2007).”
Matching Methods in Practice: Three Examples (2015, background): “For reviews and general discussions in the econometrics literature see Angrist and [5] Krueger (2000), Angrist and Pischke (2009), Caliendo (2006), Heckman and Vytlacil (2007), Imbens (2004), Imbens and Wooldridge (2009), Caliendo and Kopeinig (2011), Frölich (2004), Wooldridge (2002), and Lee…”
Community Colleges and Upward Mobility (2019, positive): “…certain conditions under which margin-specific treatment effects can be identified, including parametric restrictions on unobserved heterogeneity (Heckman and Vytlacil, 2007; Feller et al., 2016; Hull, 2018a); full-support instruments that permit a multidimensional version of identification at…”
Adoption of agroforestry and the impact on household food security among farmers in Malawi (2016, background): “Propensity Score Matching (PSM) accounts for bias due to observable characteristics (Heckman and Vytlacil, 2007).”
Testing for Granger-causality in quantiles (2018, methodology): “By using temporal precedence relationships, the notion of Granger-causality di ers from the causal concepts based on controlled variation that are present in Haavelmo (1944), Holland (1986), Pearl (1988), Heckman and Vytlacil (2007), among others.”