Finite Population Causal Standard Errors

By Alberto Abadie, Susan Athey, Guido W. Imbens, Jeffrey M. Wooldridge. 2014

69 citations recorded by the source corpus.

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In Statistics and Probability

Citations in the corpus

General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference (2016, methodology): “Abadie et al. (2014) gave a proof of the asymptotic Normality of the regression estimator under independently assigned treatment indicators.”
Effects of Payment for Environmental Services (PES) on Deforestation and Poverty in Low and Middle Income Countries: A Systematic Review (2014, methodology): “…on the treated,’ but the extent to which such a proxy departs from the true counterfactual is a source of uncertainty that needs to be accounted for (Abadie et al. 2014). provide four different estimates of the effects of PSA on forest cover over 1997- 2005), we use the mean of the estimates…”
Inference for Misspecified Models With Fixed Regressors (2014, unknown): “For example, we argue that in cases where the sample is the population there is a strong case for using the estimand conditional on at least some covariates, see also Abadie et al. (2014).”
Bridging Finite and Super Population Causal Inference (2017, background): “Email: luke_miratrix@gse.harvard.edu 2002; Imai 2008; Freedman 2008a,b; Rosenbaum 2010; Aronow and Middleton 2013; Aronow et al. 2014; Abadie et al. 2014; Miratrix et al. 2013; Ding 2016; Lin 2013; Middleton and Aronow 2015; Imbens and Rubin 2015; Chiba 2015; Rigdon and Hudgens 2015; Li and Ding…”
The Distribution of Debt Across Euro Area Countries: The Role of Individual Characteristics, Institutions and Credit Conditions (2013, background): “A related point has been made in a recent paper by Abadie et al. (2014). 4.”
Does Regression Produce Representative Estimates of Causal Effects (2016, unknown): “4 3Abadie et al. (2010) discuss how the usual frequentist statistical inference is valid even without a super-population assumption, given stochasticity in the treatment.”
Polluting Thy Neighbor: Unintended Consequences of China's Pollution Reduction Mandates (2016, unknown): “However, a recent study by Abadie et al. shows that when the “sample” is the entire population, conventional methods usually overestimate standard errors because there is essentially no sampling error (Abadie et al., 2014).”
A Permutation Test for the Regression Kink Design (2018, background): “…recently seen renewed interest among econometricians (see, for instance, Bertrand, Du fl o, and Mullainathan 2004; Imbens and Rosen-baum 2005; Chetty, Looney, and Kroft 2009; Abadie, Diamond, and Hainmueller 2010; Abadie, Athey, Imbens, and Wooldridge 2014; Cattaneo, Frandsen, and Titiunik 2015).”
From Local to Global: External Validity in a Fertility Natural Experiment (2015, unknown): “The sampling and random assignment processes imply that (cid:2) τ ( 1 ) is statistically independent of (cid:2) τ 1 , and the within-context distribution is asymptotically normal and centered on τ ( 1 ) (Abadie et al. 2014; Freedman 2008; Lin 2013).”