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Joshua D Pitts

Biographic Data

ID5922258
NAMEJoshua D Pitts
GIVEN NAMESJoshua D
FAMILY NAMEPitts
SIGNATUREPITTS J D
AFFILIATIONSKennesaw State University
ORCID0000-0001-5109-9387
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS11
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Race and the Probability of Becoming a Head Coach for NFL Coordinators Since the Introduction of the Rooney Rule

    Open Access•Joshua D Pitts, Brent Evans et al.•ARTICLE•The Review of Black Political…•2022•Cited by: 1

    A great deal of media attention has been given to the scarcity of black head-coaches in the NFL. Using data on coordinators for every NFL season since the introduction of the Rooney Rule in 2003, the authors estimated several probit regressions to examine how various factors, including race, were correlated with a coordinator's probability of becoming a head coach. There was evidence that, all else equal, black coordinators who played in the NFL …

  • Educational Attainment and the Gender Wage Gap

    Joshua D Pitts, Charles O Kroncke et al.•ARTICLE•Forum for Social Economics•2012•Cited by: 1•References: 7

    This study pools data from two sources to investigate the role of educational attainment in determining the gender wage gap. The empirical analysis reveals that the returns to education remained largely unchanged for young men but declined significantly for young women over the period 1984–2007. We find significant evidence of a decline in the returns to a Bachelor's degree for young women as well as evidence of increasing wage inequality over ti…

  • Racial Position Segregation in Intercollegiate Football

    Open Access•Joshua D Pitts, Daniel M Yost•ARTICLE•The Review of Black Political…•2012•Cited by: 9•References: 3

    This study revisits the issue of racial position segregation or racial “stacking” in intercollegiate football. Estimating a probit model, we examine the impact that a player's race has on the probability of him changing positions when he moves from high school to the collegiate ranks. Descriptive statistics of our data reveal significant evidence that racial position segregation is widespread in high school football. The data also offers much inf…

  • Racial Position Segregation in Intercollegiate Football

    Open Access•Joshua D Pitts, Daniel M Yost•ARTICLE•The Review of Black Political…•2012•Cited by: 9•References: 3

    This study revisits the issue of racial position segregation or racial “stacking” in intercollegiate football. Estimating a probit model, we examine the impact that a player's race has on the probability of him changing positions when he moves from high school to the collegiate ranks. Descriptive statistics of our data reveal significant evidence that racial position segregation is widespread in high school football. The data also offers much inf…

  • Race and the Probability of Becoming a Head Coach for NFL Coordinators Since the Introduction of the Rooney Rule

    Open Access•Joshua D Pitts, Brent Evans et al.•ARTICLE•The Review of Black Political…•2022•Cited by: 1

    A great deal of media attention has been given to the scarcity of black head-coaches in the NFL. Using data on coordinators for every NFL season since the introduction of the Rooney Rule in 2003, the authors estimated several probit regressions to examine how various factors, including race, were correlated with a coordinator's probability of becoming a head coach. There was evidence that, all else equal, black coordinators who played in the NFL …

  • Educational Attainment and the Gender Wage Gap

    Joshua D Pitts, Charles O Kroncke et al.•ARTICLE•Forum for Social Economics•2012•Cited by: 1•References: 7

    This study pools data from two sources to investigate the role of educational attainment in determining the gender wage gap. The empirical analysis reveals that the returns to education remained largely unchanged for young men but declined significantly for young women over the period 1984–2007. We find significant evidence of a decline in the returns to a Bachelor's degree for young women as well as evidence of increasing wage inequality over ti…

  • Educational Attainment and the Gender Wage Gap

    Joshua D Pitts, Charles O Kroncke et al.•ARTICLE•Forum for Social Economics•2012•Cited by: 1•References: 7

    This study pools data from two sources to investigate the role of educational attainment in determining the gender wage gap. The empirical analysis reveals that the returns to education remained largely unchanged for young men but declined significantly for young women over the period 1984–2007. We find significant evidence of a decline in the returns to a Bachelor's degree for young women as well as evidence of increasing wage inequality over ti…

  • Racial Position Segregation in Intercollegiate Football

    Open Access•Joshua D Pitts, Daniel M Yost•ARTICLE•The Review of Black Political…•2012•Cited by: 9•References: 3

    This study revisits the issue of racial position segregation or racial “stacking” in intercollegiate football. Estimating a probit model, we examine the impact that a player's race has on the probability of him changing positions when he moves from high school to the collegiate ranks. Descriptive statistics of our data reveal significant evidence that racial position segregation is widespread in high school football. The data also offers much inf…

  • Race and the Probability of Becoming a Head Coach for NFL Coordinators Since the Introduction of the Rooney Rule

    Open Access•Joshua D Pitts, Brent Evans et al.•ARTICLE•The Review of Black Political…•2022•Cited by: 1

    A great deal of media attention has been given to the scarcity of black head-coaches in the NFL. Using data on coordinators for every NFL season since the introduction of the Rooney Rule in 2003, the authors estimated several probit regressions to examine how various factors, including race, were correlated with a coordinator's probability of becoming a head coach. There was evidence that, all else equal, black coordinators who played in the NFL …

Economics (3 works) · Political science (3 works) · Demographic economics (2 works) · Econometrics (2 works) · Gender Studies (2 works) · Gender Studies (2 works) · Law (2 works) · Law (2 works) · Probit model (2 works) · Psychology (2 works)

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