Every day, three women are murdered in the United States by a current or former partner. Yet policy action to prevent gender-based violence has been limited. Previous studies have highlighted the effect of female political representation on crimes against women in the developing world. This...

We develop a stochastic general equilibrium model in which maintenance endogenously affects the capital depreciation rate. The model performs well in generating maintenance series that match closely existing survey-based measures for Canada. Maintenance is procyclical and comoves almost always...

Conventional RBC models have been heavily criticized for their inability to generate the estimated negative correlations of hours and productivity in response to technology shocks ('productivity-hours puzzle'). In this paper we show that by just enhancing the standard frame- work with investment...

This paper presents a new argument for international monetary policy coordination based on considerations of structural asymmetries across countries. In a two-country world with a traded and a non-traded sector in each country, optimal independent monetary policy cannot replicate the...

In order to improve our understanding of the channels through which monetary policy has distributional consequences, we build a New Keynesian model with incomplete asset markets, asymmetric search and matching (SAM) frictions across skilled and unskilled workers and, foremost, capital-skill...

We build an otherwise-standard business cycle model with housework, calibrated consistently with data on time use, in order to discipline consumption-hours complementarity and relate its strength to the size of fiscal multipliers. We show that if substitutability between home and market goods is...

The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data,...

This paper provides a general procedure to estimate structural vector autoregressions. The algorithm can be used in constant or time-varying coefficient models, and in the latter case, the law of motion of the coefficients can be linear or nonlinear. It can deal in a unified way with...