This paper examines the issue of how tourism affects poverty in the context of the effects of tourism on an economy as a whole and on particular sectors within it. A framework for analysing the channels through which tourism affects different households is developed, and a computable general equilibrium model of the Brazilian economy is used to examine the economic impact and distributional effects of tourism in Brazil. It is shown that the effects on all income groups are positive. The lowest income households benefit from tourism but by less than some higher income groups. Policies that could redistribute greater shares of the revenue to the poor are considered.

Research that seeks to estimate the effects of fiscal policies on economic growth has ignored the role of public debt in this relationship. This study proposes a theoretical model of endogenous growth, which demonstrates that the level of the public debt-to-gross domestic product (GDP) ratio should negatively impact the effect of fiscal policy on growth. This occurs because government indebtedness extracts part of the savings of the young to pay interest on the debts of the older generation, who are no longer saving. Therefore, the payment of debt interest assumes an allocation exchange role between generations that is similar to a pay-as-you-go pension system, which results in changes in the savings rate of the economy. The major conclusions of the theoretical model were tested using an econometric model to provide evidence for the validity of this conclusion. Our empirical analysis controls for timeinvariant, country-specific heterogeneity in the growth rates. We also address endogeneity issues and allow for heterogeneity across countries in the model parameters and for cross-sectional dependence.

This paper develops a statistical model to study the Brazilian country risk using a country beta model in the spirit of Harvey and Zhou (1993), Erb et al. (1996a, b) and Gangemi et al. (2000). Specifically, the impact of macroeconomic variables is analysed using a time-varying parameter approach. An extension of the original model is applied in order to verify the parameters' stability over time. It is found that monetary policy had a significant and stable impact on Brazil's country risk and international reserves presented a significant impact only during the fixed exchange rate period.

Infrastructure and productivity in Brazil. This article analyses the relationship between infrastructure and total factor productivity (TFP) in Brazil during the second half of the twenty century. Public capital is used as a proxy for infrastructure capital. The hypothesis to be tested is that an increase in infrastructure -more than than a rise in the private capital stock -has a positive effect on productivity on the long run. In that sense, it was used the Johansen methodology for testing the cointegration between TFP and the public/private capital ratio. In fact, it was found that this complementary relation (public-private) helps in explanning TFP's path from 1950 to 2000. The results were robust to different measures of productivity and the public/private ratio. In addition, the short (medium) run analysis has indicated that shocks in this ratio have a significant effect over the TFP, but the opposite is not true. Therefore, the cuts in infrastructure investment could be a possible explanation for the TFP's fall during the 70's and 80's.

Panel cointegration techniques applied to pooled data for 27 countries for the period 1960 to 2000 indicate that (1) government spending in education and innovation indicators is cointegrated; (2) education hierarchy is relevant when explaining innovation; and (3) relationship between education and innovation can be obtained after an accommodation of a level structural break.human capital, innovation, panel cointegration,