A Bayesian approach to decomposing wage differentials

Autor: Stanislav Radchenko, Myeong-Su Yun
Rok vydání: 2003
Předmět:
Zdroj: Economics Letters. 78:431-436
ISSN: 0165-1765
DOI: 10.1016/s0165-1765(02)00253-7
Popis: We decompose wage differentials using a Bayesian Monte Carlo Markov Chain method. This method makes it easy to obtain the posterior distributions of the characteristics and coefficients effects used to test the significance of the two effects.
Databáze: OpenAIRE