This paper develops a novel and efficient algorithm for Bayesian inference in inverse Gamma Stochastic Volatility models. It is shown that by conditioning on auxiliary variables, it is possible to sample all the volatilities jointly directly from their posterior conditional density, using simple...

Using nationally representative panel data from Nepal, we estimate a household consumption function and simulate the impacts of remittance on poverty and inequality. We study how these impacts vary with regional maturity of migration process and country-source of remittance. The results show...

This article explores the heterogeneous effects of the migration-remittance process on the educational attainment of Nepalese children. The results suggest that when controlling for remittances, the children of more educated or informed parents suffer from parental absence, while the children of...