Staff View: Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.

Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.

Bibliographic Details
Main Authors:	Hannon, Lance., Knapp, Peter., DeFina, Robert.
Format:	Villanova Faculty Authorship
Language:	English
Published:	2005
Online Access:	http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176711

Main Authors:

Hannon, Lance., Knapp, Peter., DeFina, Robert.

Format:

Villanova Faculty Authorship

Language:

English

Published:

2005

Online Access:

http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:176711

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spelling	Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients. Hannon, Lance. Knapp, Peter. DeFina, Robert. Criminologists have shown great interest in comparing the strength of the relationship between poverty and violent crime for whites and blacks. The present paper argues that the standard approach of comparing race-specific coefficients from logarithmic metric OLS and/or Poisson-based regressions has led to erroneous conclusions in this literature. Unlike researchers in other disciplines (especially economics), criminologists have largely ignored the need to “retransform” coefficients to their linear-effect representations before making comparisons between groups. The current study illustrates the importance of this methodological issue for the substantive question of whether poverty’s relationship to homicide is racially invariant (N = 134 cities). Similar to previous studies, initial results indicated that poverty’s effect on the natural logarithm of the homicide rate was dramatically stronger for whites than blacks (nearly 300% stronger for whites). However, after applying a broadly useful retransformation formula, poverty’s effect on the homicide rate actually appeared somewhat stronger for blacks. Further application of bootstrap simulations necessary to calculate the standard error of the difference in coefficients suggested that this racial discrepancy was not statistically significant. 2005-05-23 Villanova Faculty Authorship vudl:176711 Social Science Research 34, 2005, 893-914. en
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dc.creator_txt_mv	Hannon, Lance. Knapp, Peter. DeFina, Robert.
dc.description_txt_mv	Criminologists have shown great interest in comparing the strength of the relationship between poverty and violent crime for whites and blacks. The present paper argues that the standard approach of comparing race-specific coefficients from logarithmic metric OLS and/or Poisson-based regressions has led to erroneous conclusions in this literature. Unlike researchers in other disciplines (especially economics), criminologists have largely ignored the need to “retransform” coefficients to their linear-effect representations before making comparisons between groups. The current study illustrates the importance of this methodological issue for the substantive question of whether poverty’s relationship to homicide is racially invariant (N = 134 cities). Similar to previous studies, initial results indicated that poverty’s effect on the natural logarithm of the homicide rate was dramatically stronger for whites than blacks (nearly 300% stronger for whites). However, after applying a broadly useful retransformation formula, poverty’s effect on the homicide rate actually appeared somewhat stronger for blacks. Further application of bootstrap simulations necessary to calculate the standard error of the difference in coefficients suggested that this racial discrepancy was not statistically significant.
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author	Hannon, Lance. Knapp, Peter. DeFina, Robert.
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description	Criminologists have shown great interest in comparing the strength of the relationship between poverty and violent crime for whites and blacks. The present paper argues that the standard approach of comparing race-specific coefficients from logarithmic metric OLS and/or Poisson-based regressions has led to erroneous conclusions in this literature. Unlike researchers in other disciplines (especially economics), criminologists have largely ignored the need to “retransform” coefficients to their linear-effect representations before making comparisons between groups. The current study illustrates the importance of this methodological issue for the substantive question of whether poverty’s relationship to homicide is racially invariant (N = 134 cities). Similar to previous studies, initial results indicated that poverty’s effect on the natural logarithm of the homicide rate was dramatically stronger for whites than blacks (nearly 300% stronger for whites). However, after applying a broadly useful retransformation formula, poverty’s effect on the homicide rate actually appeared somewhat stronger for blacks. Further application of bootstrap simulations necessary to calculate the standard error of the difference in coefficients suggested that this racial discrepancy was not statistically significant.
title	Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.
title_full	Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.
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title_full_unstemmed	Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.
title_short	Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.
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Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.
Hannon, Lance.
Knapp, Peter.
DeFina, Robert.
Criminologists have shown great interest in comparing the strength of the relationship between poverty and violent crime for whites and blacks. The present paper argues that the standard approach of comparing race-specific coefficients from logarithmic metric OLS and/or Poisson-based regressions has led to erroneous conclusions in this literature. Unlike researchers in other disciplines (especially economics), criminologists have largely ignored the need to “retransform” coefficients to their linear-effect representations before making comparisons between groups. The current study illustrates the importance of this methodological issue for the substantive question of whether poverty’s relationship to homicide is racially invariant (N = 134 cities). Similar to previous studies, initial results indicated that poverty’s effect on the natural logarithm of the homicide rate was dramatically stronger for whites than blacks (nearly 300% stronger for whites). However, after applying a broadly useful retransformation formula, poverty’s effect on the homicide rate actually appeared somewhat stronger for blacks. Further application of bootstrap simulations necessary to calculate the standard error of the difference in coefficients suggested that this racial discrepancy was not statistically significant.
2005-05-23
Villanova Faculty Authorship
vudl:176711
Social Science Research 34, 2005, 893-914.
en

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Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.

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Hannon, Lance.
Knapp, Peter.
DeFina, Robert.

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Criminologists have shown great interest in comparing the strength of the relationship between poverty and violent crime for whites and blacks. The present paper argues that the standard approach of comparing race-specific coefficients from logarithmic metric OLS and/or Poisson-based regressions has led to erroneous conclusions in this literature. Unlike researchers in other disciplines (especially economics), criminologists have largely ignored the need to “retransform” coefficients to their linear-effect representations before making comparisons between groups. The current study illustrates the importance of this methodological issue for the substantive question of whether poverty’s relationship to homicide is racially invariant (N = 134 cities). Similar to previous studies, initial results indicated that poverty’s effect on the natural logarithm of the homicide rate was dramatically stronger for whites than blacks (nearly 300% stronger for whites). However, after applying a broadly useful retransformation formula, poverty’s effect on the homicide rate actually appeared somewhat stronger for blacks. Further application of bootstrap simulations necessary to calculate the standard error of the difference in coefficients suggested that this racial discrepancy was not statistically significant.

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Knapp, Peter.
DeFina, Robert.

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Knapp, Peter.
DeFina, Robert.
Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.

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DeFina, Robert.

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Racial similarity in the relationship between poverty and homicide rates: Comparing retransformed coefficients.

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