Structural transformation and productivity in Latin America

This article examines the e¤ects of sectorial shifts and structural transformation on the recent productivity path of Latin America. We use a four-sector (agriculture, industry, modern services and traditional services) general equilibrium model calibrated to the main economies in the region. The model very closely replicates labor reallocations across sectors and the growth of aggregate labor productivity from 1950 to 2005. Structural transformation explains a sizeable portion of the region s convergence in the rst decades. In most cases, the poor performance of the traditional services sector is the main cause of the slowdown in productivity growth observed in the region after the mid-1970s and is a key factor in explaining the divergence during this period.

Distortions in the investment goods sector and productivity decline

We study the impact of distortions in the investment goods sector on aggregate total factor productivity (TFP). We develop a two-sector neo-classical growth model in which TFP in the capital goods sector relative to TFP in the consumption sector is inversely related to the price of investment relative to consumption, so that we use relative prices to measure TFP in the investment goods sector. The model is calibrated to Brazil and we nd that distortions in the investment goods sector may explain most of the decline in Brazilian TFP relative to the United States since the mid-1970s.

Educação infantil, distorções e crescimento econômico

Este artigo incorpora educação infantil a um modelo de equilíbrio geral dinâmico para estudar a redução acelerada dos diferenciais educacionais entre países da África Subsaariana e países europeus em um período - 1960 e 2010 – em que as diferenças de renda per capita entre os dois grupos aumentaram. Nesta economia existem dois setores (o setor educacional e o setor de bens ) e consumidores homogêneos que escolhem consumo, educação formal e educação infantil. O modelo é calibrado para diversas economias e utilizado para medir, em equilíbrio, educação infantil e custos educacionais. Mostramos que as distorções educacionais caíram no período e que pré-escola aumentou sensivelmente, embora os países subsaarianos em 2010 não alcançassem a educação infantil que os europeus tinham em 1960. O principal resultado em termos de política educacional é que políticas de incentivo à educação infantil são mais eficazes em impactar a renda per capita do que políticas de incentivo à educação formal, de forma que o desincentivo para a educação infantil dos países subsaarianos ajuda a entender a parte da divergência da renda entre os dois grupos de países. Da mesma forma, produtividade total dos fatores e expectativa de vida explicam boa parte desta divergência de renda.

Testing consumption optimality using aggregate data

This paper tests the optimality of consumption decisions at the aggregate level taking into account popular deviations from the canonical constant-relative-risk-aversion (CRRA) utility function model-rule of thumb and habit. First, based on the critique in Carroll (2001) and Weber (2002) of the linearization and testing strategies using euler equations for consumption, we provide extensive empirical evidence of their inappropriateness - a drawback for standard rule- of-thumb tests. Second, we propose a novel approach to test for consumption optimality in this context: nonlinear estimation coupled with return aggregation, where rule-of-thumb behavior and habit are special cases of an all encompassing model. We estimated 48 euler equations using GMM. At the 5% level, we only rejected optimality twice out of 48 times. Moreover, out of 24 regressions, we found the rule-of-thumb parameter to be statistically significant only twice. Hence, lack of optimality in consumption decisions represent the exception, not the rule. Finally, we found the habit parameter to be statistically significant on four occasions out of 24.

Estimating brazilian monthly GDP: a state-space approach

This paper has several original contributions. The rst is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). Second, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), we propose and test a myriad of interpolation models and interpolation auxiliary series all coincident with GDP from a business-cycle dating point of view. Based on these results, we nally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil - the Brazilian Economic Activity Index - (IBC-Br). We found that the our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, which may not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. Third, in a nowcasting and forecasting exercise, we illustrate the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimate with those done elsewhere.