Semiparametric Estimation of Average Treatment Eects under Exogeneity: A Review

By Guido W. Imbens. 2003

228 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c45800a723597d5ee7239c221c170f07fe60ca32

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Citations in the corpus

Farmer Bargaining Power and Market Information Services (2015, unknown): “It is important that the covariates X are not a ected by the treatment (Imbens, 2004), which is why we use values from 2008-2009, assuming that they will not yet be a ected by the program on the exact date that it starts.”
Do exports generate higher productivity? Evidence from Slovenia (2007, background): “For more on the balancing hypotheses and testing for higher moments I refer to Imbens (2003).”
Protecting Ecosystems and Alleviating Poverty with Parks and Reserves: ‘Win-Win’ or Tradeoffs? (2011, methodology): “To improve precision, we form the socioeconomic counterfactual group by combining propensity score and trimming methods (Imbens 2004; Imbens and Wooldridge 2009).”
Can Propensity-Score Methods Match the Findings from a Random Assignment Evaluation of Mandatory Welfare-to-Work Programs? (2004, methodology): “Although a number of studies using propensity-score matching have adjusted standard errors using bootstrapping, Imbens (2003) questions whether this is appropriate in view of the discontinuities introduced by matching.”
Sequential Matching Estimation of Dynamic Causal Models (2004, unknown): “15 For more details see the excellent survey by Imbens (2003).”
Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition (2017, background): “To obtain the ATT (or ATC), this averaging is performed over the distribution of X for the treatment (or control) group.”
Dealing with limited overlap in estimation of average treatment effects (2009, unknown): “Dehejia and Wahba (1999), who also focus on estimating the ATT, discard those non-treated group observations 1See Rosenbaum (2001), Heckman, LaLonde and Smith (1999), Wooldridge (2002), Blundell and Costa-Diaz (2002), Imbens (2004) and Lee (2005a) for surveys of this literature.”
The Performance of Socially Responsible Mutual Funds: The Role of Fees and Management Companies (2010, methodology): “…sA sBð Þ2 r2s þ aA aBð Þ 2 r2a þ cA cBð Þ 2 r2c s ; where r2k is the sample variance of variable k. 9 For a more detailed discussion of the matching estimators analysis and a comparison to other methods, see Imbens (2004).”
How Satisfied are the Self-Employed? A Life Domain View (2015, unknown): “Unless there is substantial overlap in the two sets of covariate distributions, multivariate regression estimates rely heavily on extrapolation, and can be misleading (Imbens 2004; Ichino et al. 2008, pp. 312–313).”
Nonparametric Tests for Treatment Effect Heterogeneity (2008, unknown): “See also the discussion in Imbens (2004).”
MALTS: Matching After Learning to Stretch (2018, background): “Zhao (2004) and Imbens (2004) discuss the choice of distance metric for matching.”
Why Propensity Scores Should Not Be Used for Matching (2019, methodology): “To clarify this notation, we require two assumptions (Imbens 2004).”
Evaluating online ad campaigns in a pipeline: causal models at scale (2010, background): “(See [12], [11] and the references therein, for example.)”
Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand (2006, unknown): “3See, for example, Rosenbaum and Rubin (1983b), Rosenbaum (2001), Imbens (2003), and Ichino, Mealli, and Nannicini (2005).”
Implementing Matching Estimators for Average Treatment Effects in Stata (2004, background): “In addition, Imbens (2003) argues that most studies will want to proceed under the Assumption 2.1 at some during the analysis.”