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Persistent link: https://www.econbiz.de/10011524403
selection) in matching, instrumental variable and control functions methods. (2) It contrasts the roles of exclusion … restrictions in matching and selection models. (3) It characterizes the sensitivity of matching to the choice of conditioning …. (4) It demonstrates the problem of choosing the conditioning variables in matching and the failure of conventional model …
Persistent link: https://www.econbiz.de/10012469205
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/10012467713
We develop new semiparametric methods for estimating treatment effects. We focus on a setting where the outcome distributions may be thick tailed, where treatment effects are small, where sample sizes are large and where assignment is completely random. This setting is of particular interest in...
Persistent link: https://www.econbiz.de/10012629462
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/10012460096
An exciting development in empirical macroeconometrics is the increasing use of external sources of as-if randomness to identify the dynamic causal effects of macroeconomic shocks. This approach - the use of external instruments - is the time series counterpart of the highly successful strategy...
Persistent link: https://www.econbiz.de/10012453497
the question whether the omission of important control variables in matching estimation leads to biased impact estimates …
Persistent link: https://www.econbiz.de/10008989383
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/10012458921
This paper explores methods for inferring the causal effects of treatments on choices by combining data on real choices with hypothetical evaluations. We propose a class of estimators, identify conditions under which they yield consistent estimates, and derive their asymptotic distributions. The...
Persistent link: https://www.econbiz.de/10012794643
selection--on--observables type assumptions using matching or propensity score methods. Much of this literature is highly …
Persistent link: https://www.econbiz.de/10012458705