Browsing by Author "Imbens, Guido W"

Now showing items 1-10 of 10

    • Dealing with Limited Overlap in Estimation of Average Treatment Effects 

      Crump, Richard K.; Hotz, V. Joseph; Imbens, Guido; Mitnik, Oscar A. (Oxford University Press, 2009)
      Estimation of average treatment effects under unconfounded or ignorable treatment assignment is often hampered by lack of overlap in the covariate distributions between treatment groups. This lack of overlap can lead to ...

    • Essays on Causal Inference for Public Policy 

      Zajonc, Tristan (2012-08-07)
      Effective policymaking requires understanding the causal effects of competing proposals. Relevant causal quantities include proposals' expected effect on different groups of recipients, the impact of policies over time, ...

    • Hierarchical Bayes Models with Many Instrumental Variables 

      Chamberlain, Gary; Imbens, Guido (National Bureau of Economic Research, 1996)
      In this paper, we explore Bayesian inference in models with many instrumental variables that are potentially weakly correlated with the endogenous regressor. The prior distribution has a hierarchical (nested) structure. ...

    • Identification and Inference With Many Invalid Instruments 

      Kolesar, Michal; Chetty, Raj; Friedman, John; Glaeser, Edward Ludwig; Imbens, Guido (Informa UK Limited, 2015)
      We study estimation and inference in settings where the interest is in the effect of a potentially endogenous regressor on some outcome. To address the endogeneity we exploit the presence of additional variables. Like ...

    • Identification of Causal Effects Using Instrumental Variables 

      Angrist, Joshua D.; Imbens, Guido W; Rubin, Donald B. (American Statistical Association, 1996)
      We outline a framework for causal inference in setting where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that the receipt of treatment is nonignorable. To address the ...

    • Nonparametric Applications of Bayesian Inference 

      Chamberlain, Gary; Imbens, Guido (National Bureau of Economic Research, 1996)
      The paper evaluates the usefulness of a nonparametric approach to Bayesian inference by presenting two applications. The approach is due to Ferguson (1973, 1974) and Rubin (1981). Our first application considers an educational ...

    • Nonparametric Tests for Treatment Effect Heterogeneity 

      Crump, Richard K.; Hotz, V. Joseph; Imbens, Guido; Mitnik, Oscar K. (Elsevier, 2008)
      In this paper we develop two nonparametric tests of treatment effect heterogeneity. The first test is for the null hypothesis that the treatment has a zero average effect for all subpopulations defined by covariates. The ...

    • On the Failure of the Bootstrap for Matching Estimators 

      Abadie, Alberto; Imbens, Guido (Econometric Society, 2008)
      Matching estimators are widely used in empirical economics for the evaluation of programs or treatments. Researchers using matching methods often apply the bootstrap to calculate the standard errors. However, no formal ...

    • Recent Developments in the Econometrics of Program Evaluation 

      Imbens, Guido; Wooldridge, Jeffrey M. (American Economic Association, 2009)
      Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades, much research has been done on the econometric and statistical analysis of such ...

    • The Regression Discontinuity Design — Theory and Applications 

      Imbens, Guido; Lemieux, Thomas (Elsevier, 2008)
      In Regression Discontinuity (RD) designs for evaluating causal effects of interventions, assignment to a treatment is determined at least partly by the value of an observed covariate lying on either side of a fixed ...