Social Science Quantitative Methods Reading Group

The University of Kansas Social Science Quantitative Methods Reading Group meets monthly to discuss quantitative research methods in the social sciences. Topics will vary and may include causal inference, longitudinal analysis, quantitative methods using big data, structural equation modeling, and text analysis. Students and faculty welcome to attend!

Coffee and snacks are provided courtesy of the Psychology Department.

DateTimeBuildingTopic
Dec. 2, 20244:00 PMFraser Hall 547Oaxaca-Blinder Kitagawa Decomposition
Feb. 3, 20254:00 PMFraser Hall 547Quantitative Methods for Water Treatment Technologies
Mar. 3, 20254:00 PMFraser Hall 547Panel Data Econometrics
Apr. 7, 20254:00 PMFraser Hall 547Mediation/Moderation Analysis

December | Oaxaca-Blinder Kitagawa Decomposition

1) Kim, C. (2010). Decomposing the Change in the Wage Gap Between White and Black Men Over Time, 1980-2005: An Extension of the Blinder-Oaxaca Decomposition Method. Sociological Methods & Research38(4), 619-651. https://doi.org/10.1177/0049124110366235

2) Kim, C. (2013). Detailed Wage Decompositions: Revisiting the Identification Problem. Sociological Methodology43(1), 346-363. https://doi.org/10.1177/0081175013481959

3) Kröger, H., & Hartmann, J. (2021). Extending the Kitagawa–Oaxaca–Blinder decomposition approach to panel data. The Stata Journal21(2), 360-410. https://doi.org/10.1177/1536867X211025800

Flyer for KDSC Quantitative Methods December Reading Group

Resources for Previous Reading Groups

1) Dobkin LM, Gould H, Barar RE, Ferrari M, Weiss EI, Foster DG. Implementing a prospective study of women seeking abortion in the United States: understanding and overcoming barriers to recruitment. Women's Health Issues. 2014 Jan-Feb;24(1):e115-23. doi: 10.1016/j.whi.2013.10.004.

2) Miller, Sarah, Laura R. Wherry, and Diana Greene Foster. 2023. "The Economic Consequences of Being Denied an Abortion." American Economic Journal: Economic Policy, 15 (1): 394-437.

3) Ingo E. Isphording, Marc Lipfert, Nico Pestel. Does re-opening schools contribute to the spread of SARS-CoV-2? Evidence from staggered summer breaks in Germany, Journal of Public Economics, Volume 198, 2021.

4) Fetzer T, Graeber T. Measuring the scientific effectiveness of contact tracing: Evidence from a natural experiment. Proc Natl Acad Sci U S A. 2021 Aug 17;118(33):e2100814118. doi: 10.1073/pnas.2100814118.

5) Barnett ML, Olenksi AR, Jena AB. Opioid Prescribing by Emergency Physicians and Risk of Long-Term Use. N Engl J Med. 2017 May 11;376(19):1896. doi: 10.1056/NEJMc1703338. PMID: 28489999.

1) Lundberg and Lee (2017). A unified approach to interpreting model predictions. 31st Conference on Neural Information Processing Systems.

2) Stenwig, E., Salvi, G., Rossi, P. S., & Skjærvold, N. K. (2022). Comparative analysis of explainable machine learning prediction models for hospital mortality. BMC Medical Research Methodology, 22(1), 1-14.

3) Link to webpage that explains the R package and methods implemented in Lundberg and Lee's 2017 paper: SHAPVIZ

1) Webb, Linn, and Lego (2019). A Bounds Approach to Inference Using the Long Run Multiplier. Political Analysis 27:281-301.

2) Webb, Linn, and Lebo (2020). Beyond the Unit Root Question: Uncertainty and Inference. American Journal of Political Science 64(2): 275-292. 

3) Slides, Stata Code, R Code, and Data

1) Fan, W. and L. Luo (2020). Understanding Trends in the Concentration of Infant Mortality among Disadvantaged White and Black Mothers in the U.S. 1983-2013. Demography 57:919-1005. 

2) Prickett and Augustine, J (2021). Trends in Mothers Parenting Time by Education and Work 2003 - 2017. Demography 58(3): 1065-91. 

1) Flake, J. K., & Fried, E. I. (2020). Measurement schmeasurement: Questionable measurement practices and how to avoid them. Advances in Methods and Practices in Psychological Science, 3(4), 456–465. https://doi.org/10/ghnbd

2) Cizek, G. J. (2016). Validating test score meaning and defending test score use: Different aims, different methods. Assessment in Education: Principles, Policy & Practice, 23(2), 212–225. https://doi.org/10.1080/0969594x.2015.1063479

Mailing List

Use the link below to add your name to the email list for the University of Kansas Social Science Quantitative Methods Reading Group. This list will be used for updates about workshops and reading sessions organized by the Economic, Political Science, Psychology, and Sociology departments in coordination with the Kansas Data Science Consortium (KDSC).