Oaxaca-Blinder as a Reweighting Estimator

By Patrick M. Kline. 2011

206 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/56f4a6f0f152ca580357883bdba0eae5d3f66b9e

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Citations in the corpus

Unity in Diversity? How Intergroup Contact Can Foster Nation Building (2019, unknown): “reweighting but can be estimated in a single step (Kline, 2011), with standard errors clustered at the”
Consumer-lending discrimination in the FinTech Era (2019, unknown): “Recent innovations cast the Oaxaca-Blinder methodology in the treatment-effect language of the program-evaluation literature (Fortin et al., 2011; Kline, 2011; S loczyński, 2015).”
Do Parents Value School Effectiveness? (2020, methodology): “This fully interacted specification is a multiple-treatment extension of the Oaxaca-Blinder (1973) treatment effects estimator (Kline, 2011).3 By allowing school effectiveness to vary with student characteristics, we generalize the constant effects “value-added” approach commonly used to estimate…”
The Generalized Oaxaca-Blinder Estimator (2020, methodology): “To our knowledge, the idea of using regression models to impute counterfactuals first appears in Shen (1940) and Peters (1941) in the educational literature, and it has subsequently been rediscovered in applied statistics (Belson 1956; Hansen and Bowers 2009), survey sampling (Särndal and Wright 198”
Evaluating Public Programs with Close Substitutes: The Case of Head Start (2016, background): “Unlike conventional value-added models, the controls are fully interacted with program alternative, making this a trichotomous generalization of the selection on observables framework studied by Oaxaca (1973) and Kline (2011).”
Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff (2015, methodology): “The resulting estimation procedure adapts Kline (2011) to an ordered treatment and works as follows: estimate conditional linear reduced forms interacting Di and xi ; use these estimates to construct the desired average reduced form effect as in Equations (13) and (14); divide by a similarly constru”
The Augmented Synthetic Control Method (2018, methodology): “This formulation covers several estimators, including penalized SCM, entropy balancing (Hainmueller, 2011), Oaxaca-Blinder weights (Kline, 2011), and minimal approximately balancing weights (Wang and Zubizarreta, 2018).”
A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS (2014, background): “In a different setting, Kline (2011) demonstrated that parametric imputation—also referred to as Oaxaca–Blinder—is also doubly robust in a particular way; namely, it has an alternative IPW representation, in which the weights are based on a linear model for the treatment odds.”
Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights (2018, methodology): “This method is usually referred to as “regression adjustment” (Wooldridge, 2010) or “Oaxaca–Blinder” (Kline, 2011; Graham & Pinto, 2022).”
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique (2012, unknown): “such as Y i(1) and i(0), or 1i and 0i, for potential outcomes. Freedman’s (2008b) choice of ai and bi helps make the ﬁnite-population asymptotics more readable. 4See Cochran (1969), Rubin (1984), and Kline (2011). Hansen and Bowers (2009) analyze a randomized experiment with a variant of the Peters–”
Causal Inference in Urban and Regional Economics (2014, unknown): “Kline (2011) shows that this is equivalent to a propensity score reweighting estimator.”
Efficient Estimation of Data Combination Models by the Method of Auxiliary-to-Study Tilting (AST) (2016, unknown): “When overlap is poor, direct imputation approach may be preferable (e.g., Chen, Hong, and Tarozzi 2008; Kline 2011).”