Street gangs have a long history in American cities (Thrasher 1927). Until recently, gangs were organized primarily as social peer groups. Any economic activities were of secondary importance (Suttles 1968, Klein 1995). The last two decades, however, have given rise to a dramatic transformation in street gangs, or what Taylor (1990) terms their "corporatization."

Andrew D. Cuccia, Gary A. Mc Gill, The Role of Decision Strategies in Understanding Professionals' Susceptibility to Judgment Biases, Journal of Accounting Research, Vol. 38, No. 2 (Autumn, 2000), pp. 419-435

Differences in test scores of white and black students have narrowed substantially over time, falling by one‐half since 1970s. Some have speculated that this convergence is due to changes in family background or convergence in school quality. In this article we decompose the convergence in test scores into that portion due to changes in parental education, changes in school quality, and a narrowing of the within‐school gap in test scores. Only about 25% of the overall convergence is attributable to changing family and school characteristics. We find that nearly 75% of the convergence is attributable to changes within schools.

We investigate how banking market competition, informational opacity, and sensitivity to shocks have changed over the last three decades by examining the persistence of firm-level rents. We develop propagation mechanisms with testable implications to isolate the sources of persistence. Our analysis suggests that different processes underlie persistence at the high and low ends of the performance distribution. Our tests suggest that impediments to competition and informational opacity continue to be strong determinants of persistence; that the reduction in geographic regulatory restrictions had little effect on competitiveness; and that persistence remains sensitive to regional/macroeconomic shocks. The findings also suggest reasons for the recent record profitability of the industry.

This paper demonstrates that the use of GARCH-type models for the calculation of minimum capital risk requirements (MCRRs) may lead to the production of inaccurate and therefore inefficient capital requirements. We show that this inaccuracy stems from the fact that GARCH models typically overstate the degree of persistence in return volatility. A simple modification to the model is found to improve the accuracy of MCRR estimates in both back- and out-of-sample tests. Given that internal risk management models are currently in widespread usage in some parts of the world (most notably the USA), and will soon be permitted for EC banks and investment firms, we believe that our paper should serve as a valuable caution to risk management practitioners who are using, or intend to use this popular class of models.

Losing Sleep at the Market: The Daylight Saving Anomaly by Mark J. Kamstra, Lisa A. Kramer and Maurice D. Levi. Published in volume 90, issue 4, pages 1005-1011 of American Economic Review, September 2000