Christmas reading list

As a Christmas tradition, I usually put together a short list of articles that are not directly relevant to my research but I still find intriguing. (Last year I did not do this because I was focussing on finishing my PhD instead.) Because a couple of people have asked me for this list, I decided to post them here (in alphabetic order).

  • Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2018). Fairness in Criminal Justice Risk Assessments: The State of the Art. Sociological Methods & Research, 1-42. DOI: 10.1177/0049124118782533
  • Glynn, A. N., & Blackwell, M. (2018). How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables, 1–16. https://doi.org/10.1017/S0003055418000357
  • Hehman, E., Flake, J. K., & Calanchini, J. (2018). Disproportionate Use of Lethal Force in Policing Is Associated With Regional Racial Biases of Residents. Social Psychological and Personality Science, 9(4), 393–401.
  • Jost, J.T. (2018). A Quarter Century of System Justification Theory: Questions, Answers, Criticisms, and Societal Applications. British Journal of Social Psychology. DOI:10.1111/bjso.12297Risse, T., & Stollenwerk, E. (2018). Legitimacy in Areas of Limited Statehood. Annual Review of Political Science, 21, 403–418.
  • Titiunik, R. (2015). Can Big Data Solve the Fundamental Problem of Causal Inference? PS: Political Science & Politics,48(1), 75-79.

Not necessary light reads, especially the Glynn and Blackwell paper, but these are all theories and methods that piqued my interest.

Happy holidays everyone! 🙂

Source: https://xkcd.com/361/

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