In this paper, the relationship between macroeconomic fundamentals and asset prices is explored by estimating the impact of macroeconomic announcements in the Brazilian futures market. Using intraday data from October 2008 to January 2011, results show that external macroeconomic announcements...

We propose a methodology to conciliate the distributions of incomes of Census 2010 and of DIRPF 2010 (personal income tax reports). Applying this methodology, we decompose inequality by classes, regions and sex, race and age groups. We use annualized incomes and detailed educational information...

Nonlinear time series models, especially those with regime-switching and/or conditionally heteroskedastic errors, have become increasingly popular in the economics and finance literature. However, much of the research has concentrated on the empirical applications of various models, with little...

In Unconditional Convergence, Rodrik (2011b) documented that manufacturing industries exhibit unconditional convergence in labor productivity. We provide a novel semi-parametric specification for convergence equations and show that the speed of convergence varies systematically with...

Using retrospective simulations, we examine whether educational expansions in the past could have reduced earnings inequality and income poverty in Brazil. We use data from three censuses and 35 national household surveys (PNAD). The simulations indicate that there are important limitations to...

The article examines changes on characteristics of Brazilian household arrangements from 1978 to 1998 from a demographic perspective. It stresses two main shifts regarding the composition of the nucleus, the periphery of arrangements and the alteration on its group size. The role of fertility...

We examine gender inequalies in time use in Brazil by decomposing the total time employed in work in paid (market) and unpaid work (domestic). Data comes from the 2013 National Household Survey, Pnad. We found large inequalities within the subgroups of men and women. Most inequality within these...