2009
DOI: 10.1007/s10940-009-9076-8
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A Multilevel Test of Minority Threat Effects on Sentencing

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Cited by 111 publications
(129 citation statements)
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“…Hispanic/white disparity was greatest in districts where Hispanics were least numerous, but there was no significant Hispanic/white disparity in districts where Hispanics were most numerous (Feldmeyer & Ulmer, 2011; see also Helms, 2009). Yet another pattern was found by Wang and Mears (2010) using SCPS data. They found curvilinear 14 ULMER effects of percent black on black sentencing disadvantage that are consistent with Blalock's (1967) political threat hypothesis, but did not find such a pattern for Hispanic sentencing.…”
Section: Racial/ethnic Population Compositionmentioning
confidence: 73%
See 2 more Smart Citations
“…Hispanic/white disparity was greatest in districts where Hispanics were least numerous, but there was no significant Hispanic/white disparity in districts where Hispanics were most numerous (Feldmeyer & Ulmer, 2011; see also Helms, 2009). Yet another pattern was found by Wang and Mears (2010) using SCPS data. They found curvilinear 14 ULMER effects of percent black on black sentencing disadvantage that are consistent with Blalock's (1967) political threat hypothesis, but did not find such a pattern for Hispanic sentencing.…”
Section: Racial/ethnic Population Compositionmentioning
confidence: 73%
“…present a very useful discussion of the merits and demerits of two-part models (modeling incarceration and sentence length separately), tobit, and Heckman two-step corrections with ordinary least squares (OLS) in addressing problems of censoring and/or selection surrounding the incarceration and sentence length decisions. Several researchers have also demonstrated the usefulness of using multinomial logistic regression to predict different types of incarceration, such as county jail vs. state prison, either in a individual-level (Holleran & Spohn, 2004), or multilevel context (Kramer & Ulmer, 2009;Wang & Mears, 2010). In addition, Britt (2009) proposes quantile regression as an interesting alternative for assessing variation in the effects of predictors of interest (legally relevant, extralegal, case processing, etc.)…”
Section: New Methodological Extensionsmentioning
confidence: 99%
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“…These results continue to suggest the presence of racial disparities in incarceration and sentence length decisions in a state with no sentencing guidelines and a partially indeterminate sentencing structure. Race effects emerged even after various contextual measures that have been found to predict criminal sentencing in prior research were considered (Britt 2000;Johnson 2005;Wang and Mears 2010).…”
mentioning
confidence: 91%
“…Race/ethnicity has generated an enormous amount of research and debate in criminology (e.g., Leiber, 2003;Wang and Mears, 2010). One factor that underlies much of this activity is the overrepresentation of minority youth and in particular, Blacks, in both the criminal and juvenile justice systems.…”
Section: Introductionmentioning
confidence: 99%