We perform a large simulation study to examine the extent to which various generalized autoregressive conditional heteroskedasticity (GARCH) models capture extreme events in stock market returns. We estimate Hill's tail indexes for individual S&P 500 stock market returns ranging from 1995-2014...

We provide a new explanation for why central banks have become transparent over the last three decades. We apply recently developed social interaction panel regression models for the observational data, which allow the identification of peer effects. The identification is based on variations in...

We examine the determinants of interest rate margins of Czech banks employing bank-level dataset at the quarterly frequency in 2000-2006. Our main results are as follows. We find that more efficient banks exhibit lower margins and there is no evidence that the banks with lower margins would...

We examine the effect of generalized trust on long-term economic growth. Unlike in previous studies, we use Bayesian model averaging to deal rigorously with model uncertainty and attendant omitted variable bias. In addition, we address endogeneity and assess whether the effect of trust on growth...