Showing 1 - 10 of 759
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …
Persistent link: https://www.econbiz.de/10012764470
This paper is concerned with testing the time series implications of the capital asset pricing model (CAPM) due to Sharpe (1964) and Lintner (1965), when the number of securities, N, is large relative to the time dimension, T, of the return series. In the case of cross-sectionally correlated...
Persistent link: https://www.econbiz.de/10013107698
This paper focuses on the estimation and predictive performance of several estimators for the time-space dynamic panel …
Persistent link: https://www.econbiz.de/10012915736
The aim of this paper is to apply recently developed panel cointegration techniques proposed by Pedroni (1999, 2004 …
Persistent link: https://www.econbiz.de/10013316947
Currently there is little practical advice on which treatment effect estimator to use when trying to adjust for observable differences. A recent suggestion is to compare the performance of estimators in simulations that somehow mimic the empirical context. Two ways to run such 'empirical Monte...
Persistent link: https://www.econbiz.de/10012938144
This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the …
Persistent link: https://www.econbiz.de/10013251542
Persistent link: https://www.econbiz.de/10012775847
Asymptotic and bootstrap tests are studied for testing whether there is a relation of stochastic dominance between two distributions. These tests have a null hypothesis of nondominance, with the advantage that, if this null is rejected, then all that is left is dominance. This also leads us to...
Persistent link: https://www.econbiz.de/10014059083
We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the...
Persistent link: https://www.econbiz.de/10012764687
Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we...
Persistent link: https://www.econbiz.de/10012784056