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The main purpose of this paper is to visualize the relation between government spending on basic education and the human capital accumulation process, observing the impacts of this spending on individual investments in higher education, and on economic growth.

The paper uses an overlapping‐generations model where the government tax the adult generation and spent it in basic education of the next generations.

It was demonstrated that the magnitude of the marginal effect of government spending in basic education on growth crucially depends on public budget constrains.

The paper explains why some countries with a lot of public investment in basic education growth at low rates. In that sense if a country has only a lot of public investment in basic education without investment in higher education it may growth at low rates because the taxation can cause distortions in the agents incentives to invest in higher education.

This paper seeks to investigate the relation among corruption, institutional quality and economic growth.

It expands the Erlich and Lui (JPE) endogenous growth model. From this model, institutional aspects such as judicial corruption, bureaucracy, democracy and income inequality are introduced into the analysis in order to identify the institutional conditions that may inhibit corruption and stimulate economic growth.

It was demonstrated that the magnitude of the marginal effect of bureaucratic corruption on growth crucially depends on other institutional aspects of the economy and that judicial corruption amplifies the perverse effects of bureaucratic corruption.

The paper explains why some countries with a lot of corruption grow at high rates. In that sense if a country has only a lot of judicial or bureaucratic corruption it may grow at high rates but, when these two kinds of corruptions occur at the same time, then the economy will be at a low‐growth pitfall.

The purpose of this paper is to analyse the relationship between infrastructure and total factor productivity (TFP) in the four major Latin American economies: Argentina, Brazil, Chile, and Mexico.

The authors hypothesise that an increase in infrastructure has an indirect effect on output by raising productivity. To assess this theory, the traditional Johansen methodology was used for testing the cointegration between TFP and physical measures of infrastructure stock, such as energy, roads, and telephones. The Lütkepohl, Saikkonen and Trenkler Test, which considers a possible level shift in the series and has better small sample properties, was applied to the same data set and the two tests were compared.

The results do not support a robust long‐term relationship between the series; the authors do not find strong evidence that cuts in infrastructure investment in some Latin American countries were the main reason for the fall in TFP during the 1970s and 1980s.

The present paper addresses the empirical relationship between infrastructure and economic growth for Argentina, Brazil, Chile, and Mexico between 1950 and 2000, using new time series econometric methods finding new evidences on this relationship.