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Quantile treatment effects in the regression discontinuity design: Process results and gini coefficient
Frölich, Markus; Melly, Blaise - 2010
This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity design. The distributional impacts of social programs such as welfare, education, training programs and unemployment insurance are of large interest to economists. QTE are an...
Persistent link: https://www.econbiz.de/10010269846
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Causal effects of monetary shocks: semiparametric conditional independence tests with a multinomial propensity score
Angrist, Joshua D.; Kuersteiner, Guido M. - 2008
dependent data and allowing for first-step estimation of the propensity score. …
Persistent link: https://www.econbiz.de/10010270625
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Testing for nonparametric identification of causal effects in the presence of a quasi-instrument
DeLuna, Xavier; Johansson, Per - 2012
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the...
Persistent link: https://www.econbiz.de/10010284025
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When the early bird catches the worm: The impact of training in retail
Hinerasky, Christiane; Fahr, René - 2011
We econometrically evaluate the performance effects of a six month e-learning programme in a large retail chain with monthly data on sales revenue, for four years using panel regressions. Participants in early cohorts show positive performance effects during training periods that depreciate...
Persistent link: https://www.econbiz.de/10010282276
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Recent developments in the econometrics of program evaluation
Imbens, Guido W.; Wooldridge, Jeffrey M. - 2008
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 the effects of such programs or treatments. This recent theoretical literature has...
Persistent link: https://www.econbiz.de/10010268788
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How much should we trust linear instrumental variables estimators? An application to family size and children's education
Mogstad, Magne; Wiswall, Matthew - 2009
variable (IV) estimation. We show that tests for treatment effects, selection bias, and treatment effect heterogeneity are …
Persistent link: https://www.econbiz.de/10010269608
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Treatment Effect Heterogeneity in Theory and Practice
Angrist, Joshua D. - 2003
Instrumental Variables (IV) methods identify internally valid causal effects for individuals whose treatment status is manipulable by the instrument at hand. Inference for other populations requires homogeneity assumptions. This paper outlines a theoretical framework that nests causal...
Persistent link: https://www.econbiz.de/10010261579
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Nonparametric IV Estimation of Local Average Treatment Effects with Covariates
Frölich, Markus - 2002
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to … incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies … variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is …
Persistent link: https://www.econbiz.de/10010262665
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Unconditional quantile treatment effects under endogeneity
Frölich, Markus; Melly, Blaise - 2008
. We also show that including covariates in the estimation is not only necessary for consistency when the instrumental …
Persistent link: https://www.econbiz.de/10010268775
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Instrumental variables estimation with partially missing instruments
Mogstad, Magne; Wiswall, Matthew - 2010
We examine instrumental variables estimation in situations where the instrument is only observed for a sub …
Persistent link: https://www.econbiz.de/10010269473