JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. . AbstractWe investigate the robustness and causality of the link between income inequality and violent crime across countries. First, we study the correlation between the Gini index and homicide and robbery rates within and between countries. Second, we examine the partial correlation by considering other crime determinants. Third, we control for the endogeneity of inequality by isolating its exogenous impact on these crime rates. Fourth, we control for measurement error in crime rates by modeling it as both unobserved country effects and random noise. Finally, we examine the robustness of this partial correlation to alternative measures of inequality. The panel data consist of nonoverlapping 5-year averages for 39 countries during 1965-95 for homicides and 37 countries during 1970-94 for robberies. Crime rates and inequality are positively correlated within countries and, particularly, between countries, and this correlation reflects causation from inequality to crime rates, even after controlling for other crime determinants.

This study uses a new data set of crime ratesfor a large sample of countriesfor the period 1970-1994, based on information from the United Nations World Crime Surveys, to ana/yze the determinants ofnational homicide and robbery rates. A simple model of the incentives to commit crimes is proposed, which explicit/y considers possible causes of the persistence of crime over time (criminal inertia). Several econometric mode/s are estimated, attempting to capture the. determinonts of crime rates across countries and over time. The empirical mode/s are first run for cross-sections and then applie'd to panel data. The former focus on erplanatory variables that do not change markedly over time, while the panel data techniques consider both the eflect of the business cyc1e (i.e., GDP growth rate) on the crime rate and criminal inertia (accountedfor by the inclusion of the /agged crime rate as an explanatory variable). The panel data techniques a/so consider country-specific eflects, the joint endogeneity of some of the erplanatory variables, and lhe existence of some types of measurement e"ors aJjlicting the crime data. The results showthat increases in income inequality raise crime rates, dete"ence eflects are significant, crime tends to be counter-cyclical, and criminal inertia is significant even after controlling for other potential determinants of homicide and robbery rates.

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This study uses a cross-country panel to examine the determinants of corruption, paying particular attention to political institutions that increase accountability. Even though the theoretical literature has stressed the importance of political institutions in determining corruption, the empirical literature is relatively scarce. Our results confirm the role of political institutions in determining the prevalence of corruption. Democracies, parliamentary systems, political stability, and freedom of press are all associated with lower corruption. Additionally, common results of the previous empirical literature, related to openness and legal tradition, do not hold once political variables are taken into account.

This study uses a cross-country panel to examine the determinants of corruption, paying particular attention to political institutions that increase accountability. Even though the theoretical literature has stressed the importance of political institutions in determining corruption, the empirical literature is relatively scarce. Our results confirm the role of political institutions in determining the prevalence of corruption. Democracies, parliamentary systems, political stability, and freedom of press are all associated with lower corruption. Additionally, common results of the previous empirical literature, related to openness and legal tradition, do not hold once political variables are taken into account.

and the InterAmerican Development Bank. We also appreciate the constructive comments from the Editor and two anonymous referees. We remain responsible for any errors and omissions. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Lederman and Maloney examine the empirical important determinants of growth, especially natural relationships between trade structure and economic resource abundance and export concentration. In growth, particularly the influence of natural resource contrast with much of the recent literature, natural abundance, export concentration, and intra-industry resource abundance appears to have a positve effect on trade. They test the robustness of these relationships growth, whereas export concentration hampers growth, across proxies, control variables, and estimation even after controlling for physical and human capital techniques. The authors find trade variables to be accumulation, among other factors.This paper-a product of the Regional Studies Program, Office of the Chief Economist, Latin America and the Caribbean Region-is part of a larger effort in the region to understand the causes of economic growth. Copies of the paper are available free from the World Bank,

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