IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/6hx5p.html
   My bibliography  Save this paper

Reply to McCrain, Adams, Nix, and Del Pozo (2024), "Reconsidering a prominent finding on the spillover effects of police killings of unarmed Black Americans"

Author

Listed:
  • Bor, Jacob
  • Venkataramani, Atheendar
  • Williams, David
  • Tsai, Alexander

Abstract

Our previously published work (Bor, Venkataramani, Williams, and Tsai, 2018) showed that officer-involved killings of unarmed Black people have adverse mental health spillover effects on Black people in the general U.S. population. In a recent preprint, McCrain, Adams, Nix, and Del Pozo (2024) raised concerns about our methods, findings, and the interpretation of our findings. In this reply, we interrogate and address each of their concerns, showing that their replication introduced bias not present in the original. We also use the opportunity to conduct additional robustness checks. We find nothing to reduce confidence in our findings. Further buttressing our confidence are the multiple additional out-of-sample replications of our findings that have accrued in the literature over the past 5 years.

Suggested Citation

  • Bor, Jacob & Venkataramani, Atheendar & Williams, David & Tsai, Alexander, 2024. "Reply to McCrain, Adams, Nix, and Del Pozo (2024), "Reconsidering a prominent finding on the spillover effects of police killings of unarmed Black Americans"," SocArXiv 6hx5p, Center for Open Science.
  • Handle: RePEc:osf:socarx:6hx5p
    DOI: 10.31219/osf.io/6hx5p
    as

    Download full text from publisher

    File URL: https://osf.io/download/66290e58c5851a1150f671bc/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/6hx5p?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Franco, Annie & Malhotra, Neil & Simonovits, Gabor & Zigerell, L. J., 2017. "Developing Standards for Post-Hoc Weighting in Population-Based Survey Experiments," Journal of Experimental Political Science, Cambridge University Press, vol. 4(2), pages 161-172, July.
    2. Yixia Cai & Dean Baker, 2021. "Masking Real Unemployment: The Overall and Racial Impact of Survey Non-Response on Measured Labor Market Outcomes," Working Papers Series inetwp150, Institute for New Economic Thinking.
    3. Pfeffermann, Danny & Sverchkov, Michail, 2007. "Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1427-1439, December.
    4. Haile, Rahwa & Rowell-Cunsolo, Tawandra & Hyacinthe, Marie-Fatima & Alang, Sirry, 2023. "“We (still) charge genocide”: A systematic review and synthesis of the direct and indirect health consequences of police violence in the United States," Social Science & Medicine, Elsevier, vol. 322(C).
    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. J. N. K. Rao, 2015. "Inferential issues in model-based small area estimation: some new developments," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(4), pages 491-510, December.
    2. Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys," NBER Working Papers 29549, National Bureau of Economic Research, Inc.
      • Deniz Dutz & Ingrid Huitfeldt & Santiago Lacouture & Magne Mogstad & Alexander Torgovitsky & Winnie van Dijk, 2021. "Selection in Surveys," Discussion Papers 971, Statistics Norway, Research Department.
    3. repec:csb:stintr:v:17:y:2016:i:1:p:133-154 is not listed on IDEAS
    4. Michael A. Hidiroglou & Victor M. Estevao, 2016. "A Comparison Of Small Area And Calibration Estimators Via Simulation," Statistics in Transition New Series, Polish Statistical Association, vol. 17(1), pages 133-154, March.
    5. Agne Bikauskaite & Isabel Molina & Domingo Morales, 2022. "Multivariate mixture model for small area estimation of poverty indicators," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 724-755, December.
    6. Headley, Andrea M. & Blount-Hill, Kwan-Lamar & St. John, Victor J., 2021. "The psychology of justice buildings: A survey experiment on police architecture, public sentiment, and race," Journal of Criminal Justice, Elsevier, vol. 73(C).
    7. Guadarrama, María & Molina, Isabel & Rao, J.N.K., 2018. "Small area estimation of general parameters under complex sampling designs," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 20-40.
    8. J. N. K. Rao, 2021. "On Making Valid Inferences by Integrating Data from Surveys and Other Sources," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(1), pages 242-272, May.
    9. Hidiroglou M. A. & Estevao V. M., 2016. "A Comparison of Small Area and Calibration Estimators Via Simulation," Statistics in Transition New Series, Polish Statistical Association, vol. 17(1), pages 133-154, March.
    10. Zimmermann Thomas & Münnich Ralf Thomas, 2018. "Small Area Estimation with a Lognormal Mixed Model under Informative Sampling," Journal of Official Statistics, Sciendo, vol. 34(2), pages 523-542, June.
    11. Torabi, Mahmoud & Rao, J.N.K., 2014. "On small area estimation under a sub-area level model," Journal of Multivariate Analysis, Elsevier, vol. 127(C), pages 36-55.
    12. Feng Wang & HaiYing Wang & Jun Yan, 2023. "Diagnostic Tests for the Necessity of Weight in Regression With Survey Data," International Statistical Review, International Statistical Institute, vol. 91(1), pages 55-71, April.
    13. J. N. K. Rao, 2015. "Inferential Issues In Model-Based Small Area Estimation: Some New Developments," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 491-510, December.
    14. Burgard Jan Pablo & Münnich Ralf & Zimmermann Thomas, 2014. "The Impact of Sampling Designs on Small Area Estimates for Business Data," Journal of Official Statistics, Sciendo, vol. 30(4), pages 749-771, December.
    15. Isabel Molina & Malay Ghosh, 2021. "Accounting for dependent informative sampling in model-based finite population inference," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 179-197, March.
    16. Rao J. N. K., 2015. "Inferential Issues in Model-Based Small Area Estimation: Some New Developments," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 491-510, December.
    17. Ralf Münnich & Jan Burgard & Martin Vogt, 2013. "Small Area-Statistik: Methoden und Anwendungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 149-191, March.
    18. Berg Emily, 2022. "Construction of Databases for Small Area Estimation," Journal of Official Statistics, Sciendo, vol. 38(3), pages 673-708, September.
    19. Maciej Beręsewicz & Dagmara Nikulin, 2018. "Informal employment in Poland: an empirical spatial analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(3), pages 338-355, July.
    20. Isabel Molina & Paul Corral & Minh Nguyen, 2022. "Estimation of poverty and inequality in small areas: review and discussion," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 1143-1166, December.
    21. Abhishek Singh & Ashish Kumar Upadhyay & Kaushalendra Kumar & Ashish Singh & Fiifi Amoako Johnson & Sabu S. Padmadas, 2022. "Spatial heterogeneity in son preference across India’s 640 districts: An application of small-area estimation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(26), pages 793-842.

    More about this item

    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:osf:socarx:6hx5p. 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: OSF (email available below). General contact details of provider: https://arabixiv.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.