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1“...In this paper, we discuss recent developments in econometrics that we view as important for empirical researchers working on policy evaluation questions. We...”
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2“...Propensity score matching estimators (Rosenbaum and Rubin (1983)) are widely used in evaluation research to estimate average treatment effects. In this...”
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3by Imbens, Guido W Published in Journal of economic literature (01.06.2010)“...Two recent papers, Deaton (2009) and Heckman and Urzua (2009), argue against what they see as an excessive and inappropriate use of experimental and...”
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4by Guido W. Imbens Published in The Journal of human resources (01.04.2015)“...There is a large theoretical literature on methods for estimating causal effects under unconfoundedness, exogeneity, or selection-on-observables type...”
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5by Abadie, Alberto Imbens, Guido W Published in Journal of business & economic statistics (01.01.2011)“...In Abadie and Imbens (2006), it was shown that simple nearest-neighbor matching estimators include a conditional bias term that converges to zero at a rate...”
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6“...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...”
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7by Guido W. Imbens Published in The review of economics and statistics (01.02.2004)“...Recently there has been a surge in econometric work focusing on estimating average treatment effects under various sets of assumptions. One strand of this...”
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8“...Matching estimators are widely used in empirical economics for the evaluation of programs or treatments. Researchers using matching methods often apply the...”
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9by Guido W. Imbens Published in Statistical science (01.08.2014)“...I review recent work in the statistics literature on instrumental variables methods from an econometrics perspective. I discuss some of the older, economic,...”
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10“...Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were...”
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11“...Matching estimators for average treatment effects are widely used in evaluation research despite the fact that their large sample properties have not been...”
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12“...This paper uses control variables to indentify and estimate models with nonseparable, multidimensional disturbances. Triangular simultaneous equations models...”
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13“...This paper develops a generalization of the widely used difference-in-differences method for evaluating the effects of policy changes. We propose a model that...”
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14by Goldsmith-Pinkham, Paul Imbens, Guido W Published in Journal of business & economic statistics (01.07.2013)“...There is a large and growing literature on peer effects in economics. In the current article, we focus on a Manski-type linear-in-means model that has proved...”
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15“...We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is exogenous or unconfounded, that...”
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16by RICHARD K. CRUMP V. JOSEPH HOTZ GUIDO W. IMBENS OSCAR A. MITNIK Published in Biometrika (01.03.2009)“...Estimation of average treatment effects under unconfounded or ignorable treatment assignment is often hampered by lack of overlap in the covariate...”
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17“...Recently a growing body of research has studied inference in settings where parameters of interest are partially identified. In many cases the parameter is...”
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19by Kolesár, Michal Chetty, Raj Friedman, John Glaeser, Edward Imbens, Guido W Published in Journal of business & economic statistics (02.10.2015)“...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...”
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20by Richard K. Crump V. Joseph Hotz Guido W. Imbens Oscar A. Mitnik Published in The review of economics and statistics (01.08.2008)“...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...”