series. In the case of cross-sectionally correlated errors, using a threshold estimator of the average squares of pair …-wise error correlations a test is proposed and is shown to be valid even if N is much larger than T. Monte Carlo evidence show … that the proposed test works well in small samples. The test is then applied to all securities in the S&P 500 index with 60 …

a family of hypotheses under test.This correction is considerably more powerful than earlier multiple testing procedures … such as the Bonferroni and Holm corrections, given that it takes into account the dependence structure of the test …

on an empirical likelihood ratio. The computations necessary for obtaining a test statistic also provide estimates of the …

estimator continues to be consistent even in the presence of cross-sectional heteroskedasticity. We also obtain standard errors … the finite sample behavior of the transformed maximum likelihood estimator and compare it with various GMM estimators … transformed likelihood estimator outperforms the GMM estimators in almost all cases …

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is … of the reference groups of any categorical variables. The proposed estimator measures the pure impact of industry on … men and women. Furthermore, the proposed estimator is easy to implement, including hypothesis tests. We compare the …

. In contrast, our permutation test reinforces the asymptotic inference results of a recent Regression Discontinuity study … test the performance of different estimators in a simulation exercise. Cubic specifications – in particular recently …

improvements in test coverage that fixed-bandwidth approximations achieve relative to traditional approximations, especially when …