Showing 1 - 8 of 8
This paper develops two methods for estimating the effect of schooling on achievement test scores that control for the endogeneity of schooling by postulating that both schooling and test scores are generated by a common unobserved latent ability. These methods are applied to data on schooling...
Persistent link: https://www.econbiz.de/10005822092
and training participation and we use Bayesian Markov Chain Monte Carlo (MCMC) techniques for estimation. We develop a … simulation approach that uses the estimated coefficients and individual specific effects from the MCMC iterations to calculate …
Persistent link: https://www.econbiz.de/10008684818
Using data from Spanish Social Security records, we investigate the returns to experience in different flexible work arrangements, including part-time and full-time work, and permanent and fixed-term contracts. We use a trivariate random effects model which consists of a three-equation system...
Persistent link: https://www.econbiz.de/10009151017
(MCMC) has found many applications. This paper examines problems associated with its application to repeated evaluation of …
Persistent link: https://www.econbiz.de/10010960512
Abstract: In this paper, we review classical and advanced methodologies for analysing within-subject functional Magnetic Resonance Imaging (fMRI) data. Such data are usually acquired during sensory or cognitive experiments that aims at stimulating the subject in the scanner and eliciting evoked...
Persistent link: https://www.econbiz.de/10010707990
This note is made of four book reviews of Brooks et al. (2011), Karian and Dudewicz (2011), McGrayne (2010), and Ziliak and Mc- Closkey (2008), respectively. They are scheduled to appear in the next issue of CHANCE.
Persistent link: https://www.econbiz.de/10010707188
statistical challenges and, in particular, recent advances in the areas of adaptive Markov chain Monte Carlo (MCMC) algorithms …
Persistent link: https://www.econbiz.de/10010707776
The Wang-Landau algorithm aims at sampling from a probability distribution, while penalizing some regions of the state space and favouring others. It is widely used, but its convergence properties are still unknown. We show that for some variations of the algorithm, the Wang-Landau algorithm...
Persistent link: https://www.econbiz.de/10011166535