Bruce Western

Bio: Bruce Western is an academic researcher from Columbia University. The author has contributed to research in topics: Prison & Imprisonment. The author has an hindex of 51, co-authored 116 publications receiving 14359 citations. Previous affiliations of Bruce Western include Princeton University & Harvard University.

Mass Imprisonment and the Life Course: Race and Class Inequality in U.S. Incarceration:

Abstract: Although growth in the U.S. prison population over the past twenty-five years has been widely discussed, few studies examine changes in inequality in imprisonment. We study penal inequality by estimating lifetime risks of imprisonment for black and white men at different levels of education. Combining administrative, survey, and census data, we estimate that among men born between 1965 and 1969, 3 percent of whites and 20 percent of blacks had served time in prison by their early thirties. The risks of incarceration are highly stratified by education. Among black men born during this period, 30 percent of those without college education and nearly 60 percent of high school dropouts went to prison by 1999. The novel pervasiveness of imprisonment indicates the emergence of incarceration as a new stage in the life course of young low-skill black men.

The growth of incarceration in the United States: exploring causes and consequences

Abstract: How does access to this work benefit you? Let us know! Follow this and additional works at: http://academicworks.cuny.edu/jj_pubs Part of the Courts Commons, Criminal Law Commons, Criminal Procedure Commons, Criminology Commons, Judges Commons, Law and Politics Commons, Law and Society Commons, Law Enforcement and Corrections Commons, Legislation Commons, Politics and Social Change Commons, and the Race and Ethnicity Commons

Discrimination in a Low-Wage Labor Market: A Field Experiment

Abstract: Decades of racial progress have led some researchers and policymakers to doubt that discrimination remains an important cause of economic inequality. To study contemporary discrimination, we conducted a field experiment in the low-wage labor market of New York City, recruiting white, black, and Latino job applicants who were matched on demographic characteristics and interpersonal skills. These applicants were given equivalent resumes and sent to apply in tandem for hundreds of entry-level jobs. Our results show that black applicants were half as likely as equally qualified whites to receive a callback or job offer. In fact, black and Latino applicants with clean backgrounds fared no better than white applicants just released from prison. Additional qualitative evidence from our applicants' experiences further illustrates the multiple points at which employment trajectories can be deflected by various forms of racial bias. These results point to the subtle yet systematic forms of discrimination that continue to shape employment opportunities for low-wage workers.

The Impact of Incarceration on Wage Mobility and Inequality

Abstract: A life course perspective on crime indicates that incarceration can disrupt key life transitions. Life course analysis ofoccupations finds that earnings mobility depends on stable employment in career jobs. These two lines of research thus suggest that incarceration reduces ex-inmates' access to the steady jobs that usually produce earnings growth among young men. Consistent with this argument, evidence for slow wage growth among ex-inmates is provided by analysis of the National Longitudinal Survey of Youth. Because incarceration is so prevalent-one-quarter of black non-college males in the survey were interviewed between 1979 and 1998 while in prison or jail-the effect of imprisonment on individual wages also increases aggregate race and ethnic wage inequality

Role congruity theory of prejudice toward female leaders.

Abstract: A role congruity theory of prejudice toward female leaders proposes that perceived incongruity between the female gender role and leadership roles leads to 2 forms of prejudice: (a) perceiving women less favorably than men as potential occupants of leadership roles and (b) evaluating behavior that fulfills the prescriptions of a leader role less favorably when it is enacted by a woman. One consequence is that attitudes are less positive toward female than male leaders and potential leaders. Other consequences are that it is more difficult for women to become leaders and to achieve success in leadership roles. Evidence from varied research paradigms substantiates that these consequences occur, especially in situations that heighten perceptions of incongruity between the female gender role and leadership roles.

A Treatise on the Family

Abstract: A Treatise on the Family. G. S. Becker. Cambridge, MA: Harvard University Press. 1981. Gary Becker is one of the most famous and influential economists of the second half of the 20th century, a fervent contributor to and expounder of the University of Chicago free-market philosophy, and winner of the 1992 Nobel Prize in economics. Although any book with the word "treatise" in its title is clearly intended to have an impact, one coming from someone as brilliant and controversial as Becker certainly had such a lofty goal. It has received many article-length reviews in several disciplines (Ben-Porath, 1982; Bergmann, 1995; Foster, 1993; Hannan, 1982), which is one measure of its scholarly importance, and yet its impact is, I think, less than it may have initially appeared, especially for scholars with substantive interests in the family. This book is, its title notwithstanding, more about economics and the economic approach to behavior than about the family. In the first sentence of the preface, Becker writes "In this book, I develop an economic or rational choice approach to the family." Lest anyone accuse him of focusing on traditional (i.e., material) economics topics, such as family income, poverty, and labor supply, he immediately emphasizes that those topics are not his focus. "My intent is more ambitious: to analyze marriage, births, divorce, division of labor in households, prestige, and other non-material behavior with the tools and framework developed for material behavior." Indeed, the book includes chapters on many of these issues. One chapter examines the principles of the efficient division of labor in households, three analyze marriage and divorce, three analyze various child-related issues (fertility and intergenerational mobility), and others focus on broader family issues, such as intrafamily resource allocation. His analysis is not, he believes, constrained by time or place. His intention is "to present a comprehensive analysis that is applicable, at least in part, to families in the past as well as the present, in primitive as well as modern societies, and in Eastern as well as Western cultures." His tone is profoundly conservative and utterly skeptical of any constructive role for government programs. There is a clear sense of how much better things were in the old days of a genderbased division of labor and low market-work rates for married women. Indeed, Becker is ready and able to show in Chapter 2 that such a state of affairs was efficient and induced not by market or societal discrimination (although he allows that it might exist) but by small underlying household productivity differences that arise primarily from what he refers to as "complementarities" between caring for young children while carrying another to term. Most family scholars would probably find that an unconvincingly simple explanation for a profound and complex phenomenon. What, then, is the salient contribution of Treatise on the Family? It is not literally the idea that economics could be applied to the nonmarket sector and to family life because Becker had already established that with considerable success and influence. At its core, microeconomics is simple, characterized by a belief in the importance of prices and markets, the role of self-interested or rational behavior, and, somewhat less centrally, the stability of preferences. It was Becker's singular and invaluable contribution to appreciate that the behaviors potentially amenable to the economic approach were not limited to phenomenon with explicit monetary prices and formal markets. Indeed, during the late 1950s and throughout the 1960s, he did undeniably important and pioneering work extending the domain of economics to such topics as labor market discrimination, fertility, crime, human capital, household production, and the allocation of time. Nor is Becker's contribution the detailed analyses themselves. Many of them are, frankly, odd, idiosyncratic, and off-putting. …

Forecasting, Structural Time Series Models and the Kalman Filter

Abstract: In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Bayesian Model Averaging: A Tutorial

Abstract: Standard statistical practice ignores model uncertainty. Data analysts typically select a model from some class of models and then proceed as if the selected model had generated the data. This approach ignores the uncertainty in model selection, leading to over-confident inferences and decisions that are more risky than one thinks they are. Bayesian model averaging (BMA)provides a coherent mechanism for accounting for this model uncertainty. Several methods for implementing BMA have recently emerged. We discuss these methods and present a number of examples.In these examples, BMA provides improved out-of-sample predictive performance. We also provide a catalogue of currently available BMA software.