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From late to MTE : alternative methods for the evaluation of policy interventions

Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016

Persistent link: https://www.econbiz.de/10011524403

Semiparametric Causality Tests Using the Policy Propensity Score

Angrist, Joshua D.; Kuersteiner, Guido M. - 2021

Time series data are widely used to explore causal relationships, typically in a regression framework with lagged dependent variables. Regression-based causality tests rely on an array of functional form and distributional assumptions for valid causal inference. This paper develops a...

Persistent link: https://www.econbiz.de/10013221886

Regression discontinuity design with continuous measurement error in the running variable

Davezies, Laurent; Le Barbanchon, Thomas - 2017

Persistent link: https://www.econbiz.de/10011619287

Nonlinear Policy Rules and the Identification and Estimation of Causal Effects in a Generalized Regression Kink Design

Card, David - 2012

We consider nonparametric identification and estimation in a nonseparable model where a continuous regressor of interest is a known, deterministic, but kinked function of an observed assignment variable. This design arises in many institutional settings where a policy variable (such as weekly...

Persistent link: https://www.econbiz.de/10013097659

Sensitivity of matching-based program evaluations to the availability of control variables

Lechner, Michael; Wunsch, Conny - 2011

the question whether the omission of important control variables in matching estimation leads to biased impact estimates …

Persistent link: https://www.econbiz.de/10008989383

Endogenous Stratification in Randomized Experiments

Abadie, Alberto - 2013

Researchers and policy makers are often interested in estimating how treatments or policy interventions affect the outcomes of those most in need of help. This concern has motivated the increasingly common practice of disaggregating experimental data by groups constructed on the basis of an...

Persistent link: https://www.econbiz.de/10013071514

Combining Matching and Synthetic Control to Trade Off Biases from Extrapolation and Interpolation

Kellogg, Maxwell - 2020

matching estimators exhibit the opposite behavior: they limit interpolation bias at the potential expense of extrapolation bias …. We propose combining the matching and synthetic control estimators through model averaging to create an estimator called … the SC, matching, MASC and penalized SC estimators do (and do not) perform well. Then, we use the MASC re-examine the …

Persistent link: https://www.econbiz.de/10012844744