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For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on longrun growth for a sample of mostly developing economies. Data transparency is defined as the timely production of credible statistics as measured by the Statistical Capacity Index. The paper finds that data transparency has a positive effect on real gross domestic product per capita, implying a statistically significant impact on transitional growth to a higher potential level of gross domestic product per capita. The estimates indicate an elasticity of the magnitude of 0.03 percent per year, which is much larger than the elasticity of trade openness and schooling in the estimation sample. The empirics employ a variety of econometric estimators, including dynamic panel and cross-sectional instrumental variables estimators, with the latter approach yielding a higher estimated elasticity. The findings are robust to the inclusion of several factors in addition to political institutions and exogenous commodity-price and external debt-financing shocks.

This paper presents estimates of the relationship between the share of income accruing to the middle class and gross domestic product per capita of economies from the Association of Southeast Asian Nations. The increase in gross domestic product per capita that these economies experienced during 1970–2010 significantly contributed to a higher share of income accruing to the middle class. The impact of the rise of the middle class on economic growth depends on the countries' initial level of gross domestic product per capita. In the majority of these countries, a rise of the middle class that is unrelated to gross domestic product per capita growth would have had a significant negative effect on economic growth, based on the values of the countries' gross domestic product per capita in 1970. In contrast, for recent values of gross domestic product per capita, a rise of the middle class would positively contribute to growth in gross domestic product per capita. The paper shows that human capital accumulation is an important channel through which a rise of the middle class affects economic growth.

Combining macroeconomic and microeconomic data and three indicators of international market integration, this paper assesses the degree to which Latin American labor markets are integrated. The results suggest that relative to East Asia, Latin American labor markets are somewhat more integrated, but considerable differences across countries persist. In addition, the evidence indicates that the degree of labor market integration across Latin American borders is significantly less than that of labor markets within Mexico and within the United States in two of the three indicators. These differences may suggest opportunities for efficiency gains from further labor market integration.

Traditional measures of trade diversification only take into account contemporaneous export baskets. These measures fail to capture a country’s ability to respond to shocks by allocating factors of production into activities for which it has already paid the fixed costs associated with exporting. This paper corrects for the shortcoming of traditional measures of diversification by introducing a novel measure of trade diversification—latent diversification—and proposes a proxy to measure latent diversification, which is calculated by taking into account the entire history of a country’s exports. The paper shows that the observed gaps between traditional measures of diversification and the proposed proxy of latent diversification are sizeable; countries hold latent export baskets that are, on average, three times as large as their average contemporaneous export basket, and these gaps are largest for poor and small countries. Moreover, latent diversification is an important determinant of volatility—more diversified latent export baskets are associated with lower terms of trade volatility and, subsequently, lower GDP per capita volatility, even after controlling for the degree of contemporaneous export diversification and other trade and country characteristics. The latter result, together with the disproportionately large latent baskets relative to contemporaneous baskets observed in poor and small countries, suggests that latent diversification is an important vehicle toward stability in countries that face barriers in building diversified contemporaneous export baskets.

This paper estimates the effect of income inequality on real gross domestic product per capita using a panel of 104 countries during the period 1970–2010. The empirical analysis addresses endogeneity issues by using instrumental variables estimation and controlling for country and time fixed effects. The analysis finds that, on average, income inequality has a significant negative effect on transitional gross domestic product per capita growth and the long-run level of gross domestic product per capita. However, the impact varies by the level of economic development, so much so that in poor countries income inequality has a significant positive effect on gross domestic product per capita.