Showing 1 - 9 of 9
This paper proposes empirical likelihood based inference methods for causal effects identified from regression discontinuity designs. We consider both the sharp and fuzzy regression discontinuity designs and treat the regression functions as nonparametric. The proposed inference procedures do...
Persistent link: https://www.econbiz.de/10011209288
High dimensional factor models can involve thousands of parameters. The Jacobian matrix for identification is of a … the identification problem to a small rank problem, which is easy to check. The identification conditions allow both … are shown to be necessary and sufficient for local identification. …
Persistent link: https://www.econbiz.de/10010730125
We consider conditional moment models under semi-strong identification. Identification strength is directly defined …, asymptotically normal, robust to semi-strong identification, and does not rely on the choice of a user-chosen parameter, such as the … without prior knowledge of the identification pattern. Simulations show that our estimator is competitive with alternative …
Persistent link: https://www.econbiz.de/10010785287
This paper contributes to a growing literature that attempts to determine whether disparities in police stops and searches of potential criminals of different races stem from taste-based discrimination. The key challenge in making this evaluation is that police officers have more information...
Persistent link: https://www.econbiz.de/10010597566
This paper develops new results for identification and estimation of Gaussian affine term structure models. We …
Persistent link: https://www.econbiz.de/10010574096
This paper proposes a testing strategy for the null hypothesis that a multivariate linear rational expectations (LRE) model may have a unique stable solution (determinacy) against the alternative of multiple stable solutions (indeterminacy). The testing problem is addressed by a...
Persistent link: https://www.econbiz.de/10011052239
This paper analyzes the properties of a class of estimators, tests, and confidence sets (CSs) when the parameters are not identified in parts of the parameter space. Specifically, we consider estimator criterion functions that are sample averages and are smooth functions of a parameter θ. This...
Persistent link: https://www.econbiz.de/10011052306
identification principle can be applied to well-known objects like the slope coefficient in the semiparametric panel data binary …
Persistent link: https://www.econbiz.de/10011052311
. The identification of structural shocks in FAVAR can involve infinitely many restrictions as the number of cross sections …
Persistent link: https://www.econbiz.de/10011117422