Sensitivity to Exogeneity Assumptions in Program Evaluation

By Guido W. Imbens. 2003

578 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

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Citations in the corpus

The Statistics of Causal Inference: A View from Political Methodology (2015, unknown): “While a sensitivity analysis can be conducted for any iden-tiﬁcation strategy, most sensitivity analyses focus on the selection on observables assumption (Rosenbaum 1987; Imbens 2003).”
Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies☆ (2017, methodology): “Imbens (2003) and Ichino et al. (2008) have proposed methods to assess the sensitivity of unconfoundedness-based estimators to the presence of unobserved variables.”
War and Wages (2008, methodology): “For alternative models and methods of sensitivity analysis, see, e.g., Copas and Eguchi 2001; Cornfield et al. 1959; Gastwirth 1992; Imbens 2003; Lin, Psaty, and Kronmal 1998; Robins, Rotnitzky, and Scharfstein 1999; Wang and Krieger 2006.)”
Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments (2007, methodology): “From Yitzhaki’s analysis, for any sample size, a regression of Y on P identifies a weighted average of slopes based on ordered regressors: E(Y | p ) − E(Y −1 | p −1) p − p −1 , 4938 J.J. Heckman and E.J. Vytlacil The model is the same as the one presented below Figure 5.”
Econometric Methods for Program Evaluation (2018, background): “Also, a large literature on sensitivity to unobserved confounders analyzes the impact of departures from the unconfoundedness assumption in Equation (11), (see, e.g., Rosenbaum, 2002; Imbens, 2003; Altonji et al., 2005).”
Sensitivity to Missing Data Assumptions: Theory and an Evaluation of the U.S. Wage Structure (2010, methodology): “We are also grateful to David Card, Guido Imbens, Justin McCrary, Azeem Shaikh, Hal White, and seminar participants at UC Berkeley, UC San Diego, the University of Michigan, USC, Stanford, Wisconsin, the 2010 NBER Summer Institute, the 2010 Western Economic Association Summer Meeting, the 2010 Seoul”
The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder (2009, background): “…Rubin (1983), Rosenbaum (1988), Copas and Li (1997), Robins, Rotnitzky and Scharfstein (2000), Scharfstein and Irizarry (2003), Marcus (1997), Lin, Psaty and Kronmal (1998), Frank (2000) and Imbens (2003), among others, the last four bearing closest resemblance to the approach to be presented here.”
The Consequences of Child Soldiering (2010, methodology): “Notes: The figure presents the results of the sensitivity analysis following Imbens [2003]. Each × represents a pretreatment covariate, plotted according to its additional explanatory power for treatment assignment (on the horizontal axis) and its explanatory power for the outcome (vertical axis), w”
Valid post-selection inference (2013, methodology): “We ordered the covariates by priority, year of birth being first because of the structure of the study, followed by gestational age in weeks (0, 33], (33, 36], (36, 38], (38, 40] and (40,∞), categories based on an estimated propensity score for the propensity to be born in Philadelphia, mother’s age”
Does Digital Divide or Provide? The Impact of Cell Phones on Grain Markets in Niger (2008, background): “To deal with this concern, we attempt to identify cases where treatment is conditionally independent; in other words, cell phone coverage is 18 independent of the potential outcomes, conditional on a set of observed pre-treatment variables (Rubin 1978, Rosenbaum and Rubin 1983, Imbens 2003).”
Bounding a Linear Causal Effect Using Relative Correlation Restrictions (2015, methodology): “This type of sensitivity parameter has been used recently in some specific applications using nonlinear econometric models (Altonji, Elder and Taber 2005, Imbens 2003, Krauth 2006), but not in the simple linear context.”
Partial identification of spread parameters (2010, background): “The best known precedent may be Rosenbaum’s (2002) sensitivity analysis for propensity score methods; see Imbens (2003) for an application to economics.”
Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions (2007, methodology): “The author is grateful to Robert Stine and Tom Ten Have for valuable comments on a draft and to Joshua Angrist, Ed George, and Paul Rosenbaum for insightful discussions.”
Identification With Imperfect Instruments (2008, unknown): “(See, for example, Angrist, Imbens, & Rubin, 1996; Imbens, 2003; Small, 2007; Rosenbaum & Small, 2008.”
Semiparametric Estimation of Average Treatment Eects under Exogeneity: A Review (2003, methodology): “One may also wish to assess the sensitivity of the results to this assumption in a sensitivity analysis (Rosenbaum and Rubin, 1983; Imbens, 2003), or, in its extreme form, a bounds analysis (Manski, 1990, 1995).”