Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
利用哈密顿蒙特卡洛进行灵活 Heckman 选择模型的贝叶斯分析
The Heckman selection model is widely used in econometric analysis and other social sciences to address sample selection bias in data modeling. A common assumption in Heckman selection models is that the error terms follow an independent bivariate normal distribution. However, real-world data often deviates from this assumption, exhibiting heavy-tailed behavior, which can lead to inconsistent estimates if not properly addressed. In this paper, we propose a Bayesian analysis…