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Breaking ties : regression discontinuity design meets market design
Abdulkadiroğlu, Atila; Angrist, Joshua D.; Narita, Yusuke - 2019
Centralized school assignment algorithms must distinguish between applicants with the same preferences and priorities. This is done with randomly assigned lottery numbers, nonlottery tie-breakers like test scores, or both. The New York City public high school match illustrates the latter, using...
Persistent link: https://www.econbiz.de/10011989205
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Breaking ties : regression discontinuity design meets market design
Abdulkadiroğlu, Atila; Angrist, Joshua D.; Narita, Yusuke - 2019
Persistent link: https://www.econbiz.de/10012004168
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Causal Effects of Monetary Shocks : Semiparametric Conditional Independence Tests with a Multinomial Propensity Score
Angrist, Joshua D.; Kuersteiner, Guido M. - 2021
effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes … a time series setting. This leads to a generalized definition of Sims (1980) causality. A technical contribution is the … dependent data and allowing for first-step estimation of the propensity score …
Persistent link: https://www.econbiz.de/10013325071
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When to control for covariates? : Panel asymptotics for estimates of treatment effects
Angrist, Joshua D.; Hahn, Jinyong - In: The review of economics and statistics 86 (2004) 1, pp. 58-72
Persistent link: https://www.econbiz.de/10002017295
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When to control for covariates? : Panel-asymptotic results for estimates of treatment effects
Angrist, Joshua D.; Hahn, Jinyong - 1999
Persistent link: https://www.econbiz.de/10001462173
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Semiparametric Causality Tests Using the Policy Propensity Score
Angrist, Joshua D.; Kuersteiner, Guido M. - 2021
dependent variables. Regression-based causality tests rely on an array of functional form and distributional assumptions for … valid causal inference. This paper develops a semi-parametric test for causality in models linking a binary treatment or … setting. This leads to a generalized definition of Sims (1980) causality. We also develop a test for full conditional …
Persistent link: https://www.econbiz.de/10013221886
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Semiparametric Causality Tests Using the Policy Propensity Score
Angrist, Joshua D. - 2004
dependent variables. Regression-based causality tests rely on an array of functional form and distributional assumptions for … valid causal inference. This paper develops a semi-parametric test for causality in models linking a binary treatment or … setting. This leads to a generalized definition of Sims (1980) causality. We also develop a test for full conditional …
Persistent link: https://www.econbiz.de/10012467713
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Causal effects of monetary shocks : semiparametric conditional independence tests with a multinomial propensity score
Angrist, Joshua D. (contributor);  … - 2008
effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes … a time series setting. This leads to a generalized definition of Sims (1980) causality. A technical contribution is the … dependent data and allowing for first-step estimation of the propensity score. -- Monetary policy ; propensity score …
Persistent link: https://www.econbiz.de/10003739948
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Treatment effect heterogeneity in theory and practice
Angrist, Joshua D. (contributor) - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002116259
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Causal effects of monetary shocks : semiparametric conditional independence tests with a multinominal propensity score
Angrist, Joshua D.; Kuersteiner, Guido M. - In: The review of economics and statistics 93 (2011) 3, pp. 725-747
Persistent link: https://www.econbiz.de/10009268729