IDEAS home Printed from https://ideas.repec.org/p/zbw/i4rdps/127.html
   My bibliography  Save this paper

A Reproduction of "Do Female Officers Police Differently? Evidence from Traffic Stops" (American Journal of Political Science, 2021)

Author

Listed:
  • Yang, Dianyi
  • Huang, Leike

Abstract

We reproduce Shoub, Kelsey, Katelyn E. Stauffer, and Miyeon Song (May 2021). "Do Female Officers Police Differently? Evidence from Traffic Stops," with alternative specifications and interpretation of the results. While our reproduction confirms that female police officers are less likely to search drivers than male officers and female officers are more likely to find contraband upon a search, we re-evaluate the authors' claims on the equality of effectiveness between male and female officers and find that female officers in the dataset confiscated less contraband than male officers.

Suggested Citation

  • Yang, Dianyi & Huang, Leike, 2024. "A Reproduction of "Do Female Officers Police Differently? Evidence from Traffic Stops" (American Journal of Political Science, 2021)," I4R Discussion Paper Series 127, The Institute for Replication (I4R).
  • Handle: RePEc:zbw:i4rdps:127
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/296192/1/I4R-DP127.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
    2. repec:clg:wpaper:2013-20 is not listed on IDEAS
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Chatelain, Jean-Bernard & Ralf, Kirsten, 2021. "Inference on time-invariant variables using panel data: A pretest estimator," Economic Modelling, Elsevier, vol. 97(C), pages 157-166.
    5. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    6. Matthew D. Webb, 2023. "Reworking wild bootstrap‐based inference for clustered errors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 839-858, August.
    7. Sun, Ivan Y., 2007. "Policing domestic violence: Does officer gender matter?," Journal of Criminal Justice, Elsevier, vol. 35(6), pages 581-595, December.
    8. Webb, Matthew D., 2014. "Reworking Wild Bootstrap Based Inference for Clustered Errors," Queen's Economics Department Working Papers 274640, Queen's University - Department of Economics.
    9. Poteyeva, Margarita & Sun, Ivan Y., 2009. "Gender differences in police officers' attitudes: Assessing current empirical evidence," Journal of Criminal Justice, Elsevier, vol. 37(5), pages 512-522, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cantoni, Enrico & Gazzè, Ludovica & Schafer, Jerome, 2021. "Turnout in concurrent elections: Evidence from two quasi-experiments in Italy," European Journal of Political Economy, Elsevier, vol. 70(C).
    2. Pantelis Kammas & Vassilis Sarantides, 2025. "“Votes for Women” on the edge of urbanization," Journal of Population Economics, Springer;European Society for Population Economics, vol. 38(1), pages 1-35, March.
    3. Hagemann, Andreas, 2019. "Placebo inference on treatment effects when the number of clusters is small," Journal of Econometrics, Elsevier, vol. 213(1), pages 190-209.
    4. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LLC, vol. 19(1), pages 4-60, March.
    5. Isabella Giorgetti & Matteo Picchio, 2021. "One billion euro programme for early childcare services in Italy," Metroeconomica, Wiley Blackwell, vol. 72(3), pages 460-492, July.
    6. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2023. "Fast and reliable jackknife and bootstrap methods for cluster‐robust inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 671-694, August.
    7. Dey, Ishita, 2018. "Class attendance and academic performance: A subgroup analysis," International Review of Economics Education, Elsevier, vol. 28(C), pages 29-40.
    8. Stefan Bauernschuster & Timo Hener & Helmut Rainer, 2017. "When Labor Disputes Bring Cities to a Standstill: The Impact of Public Transit Strikes on Traffic, Accidents, Air Pollution, and Health," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 1-37, February.
    9. Mattia Filomena & Matteo Picchio, 2023. "Retirement and health outcomes in a meta‐analytical framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1120-1155, September.
    10. Doremus, Jacqueline, 2019. "Unintended impacts from forest certification: Evidence from indigenous Aka households in Congo," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    11. MacKinnon, James G., 2023. "Fast cluster bootstrap methods for linear regression models," Econometrics and Statistics, Elsevier, vol. 26(C), pages 52-71.
    12. Fortin, Bernard & Ragued, Safa, 2017. "Does temporary interruption in postsecondary education induce a wage penalty? Evidence from Canada," Economics of Education Review, Elsevier, vol. 58(C), pages 108-122.
    13. Yonas Alem & Martin G. Kocher & Simon Schürz & Fredrik Carlsson & Mikael Lindahl, 2023. "Distributional preferences in adolescent peer networks," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 223-248, March.
    14. Guerra, Alice & Zhuravleva, Tatyana, 2021. "Do bystanders react to bribery?," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 442-462.
    15. Kengo Igei & Kana Takio & Keitaro Aoyagi & Yoshito Takasaki, 2021. "Vocational training for demobilized ex-combatants with disabilities in Rwanda," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 13(4), pages 360-384, October.
    16. Mattia Filomena, 2024. "Unemployment Scarring Effects: An Overview and Meta-analysis of Empirical Studies," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 459-518, July.
    17. Paul, Annemarie, 2015. "After work shopping? Employment effects of a deregulation of shop opening hours in the German retail sector," European Economic Review, Elsevier, vol. 80(C), pages 329-353.
    18. Ernesto Dal Bó & Pedro Dal Bó & Erik Eyster, 2018. "The Demand for Bad Policy when Voters Underappreciate Equilibrium Effects," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 964-998.
    19. Fernández-Val, Iván & Gao, Wayne Yuan & Liao, Yuan & Vella, Francis, 2022. "Dynamic Heterogeneous Distribution Regression Panel Models, with an Application to Labor Income Processes," IZA Discussion Papers 15236, Institute of Labor Economics (IZA).
    20. James G. MacKinnon & Matthew D. Webb, 2017. "Wild Bootstrap Inference for Wildly Different Cluster Sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 233-254, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:i4rdps:127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.i4replication.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.