The Review of Black Political Economy

A Granger-causality test is used to examine whether social mobilization causes political instability. This test allows serious problems encountered in correlation-based analyses to be overcome. Time-series data from seven African countries are used. The empirical results (which vary by country) generally suggest that there is usually a feedback relationship between social mobilization and political instability.

A close analysis of the capital-asset pricing model’s assumptions and implications for efficient allocation of resources to investment in capital assets can form the basis for changes in the way capital markets are regulated by the federal government and in taxing policy of the government. In particular, our analysis indicates that the value of currently marketed assets can be increased by the inclusion in portfolios of currently nonmarketed assets.Moreover, the value of nonmarketed assets emerges as a significant instrumental variable for policy makers.The government can increase the value of all currently marketed assets by increasing positive changes in the value of nonmarketed assets.This might be accomplished by requiring by legislation or rule, for example, that a certain proportion of the listed securities on any exchange be comprised of the securities of black firms and other firms whose securities are not now marketed.The government might want, by tax incentive, to promote investment in firms with nonmarketed assets.It might want to increase the funding level of institutions such as MESBIC’S supplying equality finance to small black firms.

The advent of rising immigration has spurred research into a number of important issues insofar as the indigenous labor market is concerned. Some of these issues regarding the nature of the effect on native workers have been studied extensively. Others, like the interrelationships among immigration flows, African–American male earnings, employment, and incarceration rates have not been widely examined. In this paper, the association among these non-stationary variables is studied in the framework of a Vector Error Correction model and its associated cointegrating relationship. We find no statistically significant association among immigration, Black male employment rates, and Black male incarceration rates over the period 1961–2008, ceteris paribus.