Social Science Quantitative Methods Reading Group
Coffee and snacks are provided courtesy of the Psychology Department.
| Date | Time | Building | Topic |
|---|---|---|---|
| Dec. 2, 2024 | 4:00 PM | Fraser Hall 547 | Oaxaca-Blinder Kitagawa Decomposition |
| Feb. 3, 2025 | 4:00 PM | Learned Hall 1131 | Quantitative Methods for Water Treatment Technologies |
| Mar. 10, 2025 | 4:00 PM | Snow Hall 302 | Shrinkage Estimation and Identification of Latent Group Structures in Panel Data with Interactive Fixed Effects |
| Apr. 7, 2025 | 4:00 PM | Fraser Hall 547 | Mediation/Moderation Analysis |
- Mickelson, R.A., and Saatcioglu, A. (2024), Structure and Agency in Resistance to schooling: Class, race, and the reproduction of unequal outcomes, 120: 102971. https://doi.org/10.1016/j.ssresearch.2023.102971
- Darby, D. and Saatcioglu, A. (2015), Race, inequality of opportunity, and school choice. Theory and Research in Education, 13 (1): 56-86. https://doi.org/10.1177/1477878515572288
- Quintana, R. and Saatcioglu, A. (2022), The Long-Lasting Effects of Schooling: Estimating the Effects of Science and Math Identity in High School on College and Career Outcomes in STEM. Socius: Sociological Research for a Dynamic World, 8:1-14. https://doi.org/10.1177/23780231221115405
Resources for Previous Reading Groups
1) Su. L., Shi, Z. and Phillips, P.C.B. (2016), Identifying Latent Structures in Panel data. Econometrica, 84: 2215-2264. https://doi.org/10.3982/ECTA12560
2) Moon, H.R. and Weidner, M. (2015), Linear Regression for Panel With Unknown Number of Factors as Interactive Fixed Effects. Econometrica, 83: 1543-1579. https://doi.org/10.3982?ECTA9382
3) Mehrabani, A. (2023). Estimation and Identification of Latent Group Structures in Panel Data. Journal of Econometrics, 235: 1464-1482. https://doi.org/10.1016/j.jeconom.2022.12.002
1) Hutchison, J. M., Hussein, F. B., & Mayer, B. K. (2023). Evaluating Sustainable Development Pathways for Protein and Peptide-Based Bioadsorbents for Phosphorus Recovery from Wastewater. Environmental science & technology, 57 (43), 16317-16326. https://doi.org/10.1021/acs.est.3c04016
2) Hutchison, J. M., Guest, J. S., & Zilles, J. L. (2017). Evaluating the Development of Biocatalytic Technology for the Targeted Removal of Perchlorate from Drinking Water. Environmental science & technology, 51 (12), 7178-7186. https://doi.org/10.21/acs.est.7b00831
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 & Research, 38(4), 619-651. https://doi.org/10.1177/0049124110366235
2) Kim, C. (2013). Detailed Wage Decompositions: Revisiting the Identification Problem. Sociological Methodology, 43(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 Journal, 21(2), 360-410. https://doi.org/10.1177/1536867X211025800
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
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