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Western, Bruce

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Western

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Bruce

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Western, Bruce

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Now showing 1 - 3 of 3
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    Publication
    Discrimination in a Low-Wage Labor Market: A Field Experiment
    (American Sociological Association, 2009) Pager, Devah; Bonikowski, Bart; Western, Bruce
    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 résumés 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.
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    Model Comparison and Simulation for Hierarchical Models: Analyzing Rural-Urban Migration in Thailand
    (Taylor & Francis, 2010-06-16) Garip, Filiz; Western, Bruce
    Sociological research often examines the effects of social context with hierarchical models. In these applications, individuals are nested in social contexts—like school classes, neighborhoods or villages—whose effects are thought to shape individual outcomes. Although applications of hierarchical models are common in sociology, analysis usually focuses on inference for fixed parameters. Researchers seldom study model fit or examine aggregate patterns of variation implied by model parameters. We present an analysis of Thai migration data, in which survey respondents are nested within villages and report annual migration information. We study a variety of hierarchical models, investigating model fit with DIC and posterior predictive statistics. We also describe a simulation to study how different initial distributions of migration across villages produce increasing inter-village inequality in migration.
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    Variance Function Regressions for Studying Inequality
    (2009-03-10T19:47:50Z) Western, Bruce; Bloom, Deirdre
    Regression-based studies of inequality model only between-group differences, yet often these differences are far exceeded by residual inequality. Residual inequality is usually attributed to measurement error or the influence of unobserved characteristics. We present a regression that includes covariates for both the mean and variance of a dependent variable. In this model, the residual variance is treated as a target for analysis. In analyses of inequality, the residual variance might be interpreted as measuring risk or insecurity. Variance function regressions are illustrated in an analysis of panel data on earnings among released prisoners in the National Longitudinal Survey of Youth. We extend the model to a decomposition analysis, relating the change in inequality to compositional changes in the population and changes in coe cients for the mean and variance. The decomposition is applied to the trend in US earnings inequality among male workers, 1970 to 2005.