Better Late than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)

By Guido W. Imbens. 2010

508 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Education, Sociology and Political Science

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, methodology): “1, we discuss machine learning methods for partitioning the covariate space according to treatment effect heterogeneity; if we construct indicators for the element of the partition derived according to an “honest causal tree” (Athey and Imbens, 2016) and incorporate them into (5.4), then the resulti”
Comparing Labor Supply Elasticities in Europe and the US: New Results (2012, background): “As noted by Imbens (2010), there are many important research question for which no experimental or quasi-experimental set-up is available, of which our large-scale comparison is one.”
Instrumental Variables: An Econometrician's Perspective (2014, unknown): “See also Imbens (2010).”
The New Economics of Equilibrium Sorting and Policy Evaluation Using Housing Markets (2013, methodology): “Imbens (2010) states that his main concern with this line of reasoning is that there are many important questions—such as those involving general equilibrium effects—that cannot be answered directly with simple experiments.”
Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics (2020, background): “Imbens (2010) asserts that “(R)andomized experiments occupy a special place in the hierarchy of evidence, namely at the very top.”
Testing the Unconfoundedness Assumption via Inverse Probability Weighted Estimators of (L)ATT (2014, methodology): “which is the LATE estimator developed in Imbens and Angrist (1994) and is also known as the Wald estimator, after Wald (1940).”
Tolerating defiance? Local average treatment effects without monotonicity (2017, background): “However, other authors have argued that researchers should still report an estimate of the LATE of compliers, along with the bounds on the ATE (see Imbens (2010)).”
The impact of redistributive policies on inequality in OECD countries (2012, background): “There is no quasi-experimental set-up available to identify a truly causal effect, but we nevertheless think, in the sense of Imbens (2010), that an attempt ought to be made to answer such a relevant research question as credible as possible.”
Comparing and combining process-based crop models and statistical models with some implications for climate change (2017, background): “…approaches roughly align with what economists call structural and reduced form methods in applied economics, or what others call model based and design based approaches (Card 2012), a subject of considerable methodological debate (Freedman 1991, Heckman and Urzua 2010, Deaton 2010, Imbens 2010).”