This book analyzes New York City’s stop-and-frisk data both pre- and post-constitutionality ruling, examining the existence of both profiling and unequal treatment among the three largest groups identified in the database: Blacks, Whites, and Hispanics. The purpose for using these two time periods is to determine which group(s) benefited the most from the ruling. This research goes beyond standard statistics to identify the place that race holds in contributing to the stop disparities. Specifically, this research will adds a spatial element to the numbers by analyzing the determinants of stop location by race, applying a principal component analysis to a mixture of census and stop-and-frisk data to determine the influence of location on stops by race. The results present a way of determining the plausibility of stops being the product of racial profiling–or just a matter of happenstance.
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Jay L. Newberry is Assistant Professor of Geography at Binghamton University
This book analyzes New York City’s stop-and-frisk data both pre- and post-constitutionality ruling, examining the existence of both profiling and unequal treatment among the three largest groups identified in the database: Blacks, Whites, and Hispanics. The purpose for using these two time periods is to determine which group(s) benefited the most from the ruling. This research goes beyond standard statistics to identify the place that race holds in contributing to the stop disparities. Specifically, this research will adds a spatial element to the numbers by analyzing the determinants of stop location by race, applying a principal component analysis to a mixture of census and stop-and-frisk data to determine the influence of location on stops by race. The results present a way of determining the plausibility of stops being the product of racial profiling–or just a matter of happenstance.
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Hardback. Zustand: New. 1st ed. 2017. This book analyzes New York City's stop-and-frisk data both pre- and post-constitutionality ruling, examining the existence of both profiling and unequal treatment among the three largest groups identified in the database: Blacks, Whites, and Hispanics. The purpose for using these two time periods is to determine which group(s) benefited the most from the ruling. This research goes beyond standard statistics to identify the place that race holds in contributing to the stop disparities. Specifically, this research will adds a spatial element to the numbers by analyzing the determinants of stop location by race, applying a principal component analysis to a mixture of census and stop-and-frisk data to determine the influence of location on stops by race. The results present a way of determining the plausibility of stops being the product of racial profiling-or just a matter of happenstance. Artikel-Nr. LU-9783319580906
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Zustand: New. 2017. Hardcover. . . . . . Artikel-Nr. V9783319580906
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book analyzes New York City's stop-and-frisk data both pre- and post-constitutionality ruling, examining the existence of both profiling and unequal treatment among the three largest groups identified in the database: Blacks, Whites, and Hispanics. The purpose for using these two time periods is to determine which group(s)benefitedthe most from the ruling. This research goes beyond standard statistics to identify the place that race holds in contributing to the stop disparities. Specifically, this research will adds a spatial element to the numbers by analyzing the determinants of stop location by race, applying a principal component analysis to a mixture of census and stop-and-frisk data to determine the influence of location on stops by race. The results present a way of determining the plausibility of stops being the product of racial profiling-or just a matter of happenstance. Artikel-Nr. 9783319580906
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Gebunden. Zustand: New. Appeals to urban geographers, sociologists and criminal justice researchers examining the rise of the stop-and-frisk policy internationallyGrounded in empirically research and statistically strong analysis of census dataAnswers the quest. Artikel-Nr. 150369288
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