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...

Bereavement is a grieved and inevitable event in our life. For an aging society, the incidence of spousal bereavement and parental bereavement is higher than the other kinds of bereavement events. This study employs the difference-in-differences (DiD) strategy and the Taiwanese panel Survey of...

This paper investigates the determinants of growth in the Asian developing economies. We use Bayesian model averaging (BMA) in the context of a dynamic panel data growth regression to overcome the uncertainty over the choice of control variables. In addition, we use a Bayesian algorithm to...

We estimate a household consumption function using two rounds of the nationally representative panel of living standard measurement survey (LSMS) of Nepal and simulate the impacts of remittance on poverty and inequality. We study how these impacts vary with the regional ‘incidence’ and...

Bayesian model averaging (BMA) has been successfully applied in the empirical growth literature as a way to overcome the sensitivity of results to different model specifications. In this paper, we develop a BMA technique to analyze models that differ in the set of instruments, exogeneity...

This paper applies a time-varying cointegration (TVC) model to study regional financial integration, measured by the drifting cointegration coefficient of the long-term interest rates between Singapore and Malaysia. Conditioned on long-run exchange rate equilibrium, the evolving relation can be...