This paper presents an analysis of the effect of bureaucratic corruption on economic growth through a public finance transmission channel. At the theoretical level, we develop a simple dynamic general equilibrium model in which financial intermediaries make portfolio decisions on behalf of...

This paper considers the effects of humanitarian aid on economic welfare through a demographic transition channel. We develop a two-period overlapping generations model where reproductive agents face a non-zero probability of death in childhood. As adults, agents allocate their time to work,...

Do in-cash and in-kind transfers to families affect parental fertility choices and economic welfare differently? We examine this question via a demographic transition channel in the context of a two-period overlapping generations model. In childhood, reproductive agents face a non-zero...

This paper presents an analysis of the effect of bureaucratic corruption on economic growth through a public finance transmission channel. At the theoretical level, we develop a simple dynamic general equilibrium model in which financial intermediaries make portfolio decisions on behalf of...

We test for a change in the volatility of 215 US macroeconomic time series over the period 1960-1996. We find that about 90% of these series have experienced a break in volatility during this period. This result is robust to controlling for instability in the mean and business cycle...

Volatility breaks are tested and documented for 19 important monthly macroeconomic time series across the G7 countries. Across all conditional mean specifications considered, including both linear and nonlinear models with and without a structural break, volatility breaks are found to be...

This paper presents a simple stochastic growth model in which productivity improvements are the result of both internal (deliberate) and external (serendipitous) learning behaviour. The model is used to illustrate how these different mechanisms of endogenous technological change can lead to...