Showing 1 - 10 of 285
Abadie and Imbens (2008, Econometrica) showed that classical bootstrap schemes fail to provide correct inference for K-nearest neighbour (KNN) matching estimators of average causal effects. This is an interesting result showing that bootstrap should not be applied without theoretical...
Persistent link: https://www.econbiz.de/10013135182
In this paper, we propose an algorithmic approach based on resampling and bootstrap techniques to measuring the importance of a variable, or a set of variables, in econometric models. This algorithmic approach allows us to check the real weight of a variable in a model, avoiding the biases of...
Persistent link: https://www.econbiz.de/10012990892
Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The...
Persistent link: https://www.econbiz.de/10013084682
group were 27.5 percent higher than official rates based on all rotation groups. Rotation group bias worsened over time and …
Persistent link: https://www.econbiz.de/10012982106
This paper provides an expression for the bias of the OLS estimator of the schooling coefficient in a simple static … coefficient is biased upward, and the bias is increasing with potential labor-market experience and the degree of earnings … persistence. In addition, NLSY data are used to show that the magnitude of the persistence bias is non-negligible, and the bias …
Persistent link: https://www.econbiz.de/10013087398
) bias in β^. We add to this literature in two important ways. First, we focus on estimation of the fixed effects proper, as … these have become increasingly important in applied work.Second, we build on a bias-reduction approach originally developed …
Persistent link: https://www.econbiz.de/10012942104
We assess selection bias in estimated returns to workplace training by exploiting a field experiment with random …. When controlling for pre-treatment performance or individual fixed effects, only about one tenth of this bias remains and …
Persistent link: https://www.econbiz.de/10013315191
This paper introduces bias-corrected estimators for nonlinear panel data models with both time invariant and time …/selection bias. We then estimate the primary equation by fixed effects including an appropriately constructed control function from … both steps might employ nonlinear fixed effects procedures it is necessary to bias adjust the estimates due to the …
Persistent link: https://www.econbiz.de/10013317161
We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …
Persistent link: https://www.econbiz.de/10013325041
This paper develops a novel wild bootstrap procedure to construct robust bias-corrected (RBC) valid confidence …
Persistent link: https://www.econbiz.de/10012858486