Alcohol availability and crime: a robust approach

The relationship between alcohol availability and crime is investigated in this study. It first considers common parametric specifications that have been used in the literature. After applying a powerful consistent conditional moment test for correct specification, it is found that these common parametric specifications are rejected by the data. The study then proceeds with a robust nonparametric method that can have a rate of convergence close to that for a correctly specified parametric model when the underlying relationship is somewhat linear. The application of nonparametric methods reveals structure present in the data that would remain undetected when applying common parametric specifications, but more importantly reveals that the impact of alcohol availability is considerably higher than one might believe on the basis of the misspecified parametric model. It is also found that the marginal effect of alcohol availability on crime changes with the level of alcohol availability.     

Aid and economic growth in LDCs: Evidence from Sub-Saharan Africa

This paper uses a disaggregated cross-national time-series aid data and a Least Squares Dummy Variables (LSDV) model to investigate the effects of aid on economic growth in Sub-Saharan Africa. We find that, contrary to what some critics of aid argue, aid has a small but positive and significant effect on economic growth in Sub-Saharan Africa. A simultaneous equation specification of the model shows that aid affects economic growth in Sub-Saharan Africa directly and indirectly through increased domestic savings and investment.     

Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.     

Demand for international telephone services between US and Africa

This paper uses a two-equation dynamic simultaneous equation model that accounts for call externality and arbitrage, and a dynamic panel estimator to investigate the demand for international telephone calls between the US and African countries. Using panel data from 45 African countries over the 1992–1996 period, we find that the demand for telephone calls from African countries to the US is price elastic while the demand for telephone calls from the US to African countries is price inelastic. We find telephone calls originating from African countries to the US are complementary to calls from the US to African countries while calls originating in the US to African countries are substitutes for calls to the US that originate in African countries, and calls between the two sets of countries exhibit reciprocal and arbitrage effects. We also find that the demand for telephone calls between the US and African countries show strong dynamic effects. Finally, we find that telephone demand between African countries and the US responds positively to income and trade. Our results have interesting research and policy implications.     

Aid and investment in LDCs: A robust approach

This paper uses panel data and the Local Linear Kernel Estimator (LLKE), to investigate the effects of aid on physical capital investment in developing countries. Specifically, we investigate the robustness of the relationship between aid and physical capital investment in Less Developed countries (LDCs) using two different measures of aid and five measures of the policy environment. We find that external aid has a positive and significant impact on physical capital investment given the support of the sample data we use. This effect is robust to the measurement of aid as well as the policy environment. However, the character of the positive relationship between aid and investment varies with the combination of the aid measure and the policy environment. We find that conditional on inflows, the better the policy environment, the higher the investment rate, all things being equal. The results have implications for aid research and aid policy.     

Black-white wage differential: The relative importance of human capital and labor market structure

This article uses the decomposition analysis developed by Neumark and the 1987 CPS data to investigate the relative importance of human capital and labor market structure in explaining the observed wage differential between white males and blacks (both male and female). We find that labor market structure, as opposed to differences in human capital, explains a relatively large portion of the wage gap between white males and blacks. In addition to blacks and whites being paid different wages for the same work, they are also given unequal opportunities. This means that narrowing the human capital gap between the races will not be enough to close the wage gap, as argued by human capital theorists. It is equally important to pursue policies that provide access to higher paying jobs and industries for blacks.     

Alcohol Availability and Crime: Evidence from Census Tract Data

Using census tract data from the city of Detroit and a reduced-form crime equation, this article finds that alcohol availability is positively and significantly related to total, property, and violent crime rates and homicides. The elasticity of crime rates with respect to alcohol availability calculated in this study are 0.92, 0.82, 0.87, and 0.12 for total crime, violent crime, property crime, and homicide, respectively. These elasticities do not change qualitatively across estimation methods for the various measures of crime rates. I find that ordinary least squares estimates impart a downward bias to the effects alcohol availability has on crime rates. Failure to account for the endogeneity of alcohol outlets will therefore result in an underestimate of crime elasticities with respect to alcohol availability. The estimates imply that reducing alcohol availability may decrease crime rates and improve social welfare.     

Production of public safety: Are socioeconomic characteristics of local communities important factors?

This paper uses the translog cost function and cross section data from Florida to investigate the importance of socioeconomic characteristics (SEC) of local communities in the production of public safety. The approach used is noteworthy in four respects: (1) the underlying production function is specified as an AGEM production function; (2) SEC are treated as non-purchased fixed inputs; (3) two variables are used to proxy SEC in estimation; and (4) the paper test for the existence of endogenous quality differences in safety. It is shown that exclusion of SEC from the production (cost) function of safety leads to misspecification; and hence they provide a misleading guide to policy.     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.