Homosexuals in Western Armed Forces

Among his books are Peacekeepers and Their Wives;and Recruiting for Uncle Sam.     

Illegal markets and the social costs of rent-seeking

This paper argues that making goods or services illegal results in an increase in the social costs associated with rent-seeking. The increased social cost is in the form of negative externalities that result from market participants use of coercion and violence in attempts to control trade in the illegal good. Consequently, the social costs of rent-seeking will exceed the value of resources dissipated in rent-seeking competition. And, where the external costs exceed the undissipated portion of the Tullock cost, the social cost of rent-seeking is greater than the sum of Tullock and Harberger costs.     

What are the Future Prospects for the European Social Model?An Analysis of EU Equal Opportunities and Employment Policy

The aim of our article is to examine the future prospects of the European Social Model (ESM). First, the article defines the ESM as a mixture of hard law, soft law and underlying norms and values. Second, the article analyses the ESM on a more detailed level in the case of the law of equal opportunities and employment through a historical account and the legal dynamics of integration. The results of the analysis indicate a growing integration capacity of the ESM. Yet, this runs counter to the current neoliberal preferences of the Barroso Commission which has moved from a strategy of combining economic growth and social cohesion, to one in which economic growth creates social cohesion.     

Redlining or risk? A spatial analysis of auto insurance rates in Los Angeles

Auto insurance rates can vary dramatically, with much higher premiums in poor and minority areas than elsewhere, even after accounting for individual characteristics, driving history, and coverage. This paper uses a unique data set to examine the relative influence of place‐based socioeconomic characteristics (or redlining) and place‐based risk factors on the place‐based component of automobile insurance premiums. We use a novel approach of combining tract‐level census data and car insurance rate quotes from multiple companies for sub‐areas within the city of Los Angeles. The quotes are for a hypothetical individual with identical demographic and auto characteristics, driving records, and insurance coverage. This method allows the individual demographic and driving record to be fixed. Multivariate models are then used to estimate the independent contributions of these risk and redlining factors to the place‐based component of the car insurance premium. We find that both risk and redlining factors are associated with variations in insurance costs in the place‐based component, with black and poor neighborhoods being adversely affected, although risk factors are stronger predictors. However, even after risk factors are taken into account in the model specification, SES factors remain statistically significant. Moreover, simulations show that redlining factors explain more of the gap in auto insurance premiums between black (and Latino) and white neighborhoods and between poor and nonpoor neighborhoods. The findings do not appear sensitive to the individual characteristics of the hypothetical driver. © 2007 by the Association for Public Policy Analysis and Management