In this week’s episode Greg and Patrick are honored to have a discussion with Paul Allison who is a sociologist and a titan in the field of quantitative methodology. Although they could talk with Paul about a dozen different topics, they narrow it down to his seminal work in longitudinal fixed effects models. Along the way they also discuss ren fairs, frilly shirts, turkey legs, drama kids, shiny beans, psychohistory, not having command of Eigenvalues, the world’s shortest abstract, Yale not liking you, the Quantitude topic spinner, cows nested in herds, people who should know better, Jack LaLanne, the three laws of robotics, and the denouement.
Related Episodes
- S5E05: Multilevel Models Unleashed
- S3E04: Two Time Point Data: What Is Your Quest?
- S2E26: MLM vs. SEM: Opportunities for Growth
- S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show
Recommended Readings
Allison, P.D. (1994). Using panel data to estimate the effects of events. Sociological Methods & Research, 23, 174-199.
Allison, P.D. (2005). Fixed effects regression methods for longitudinal data using SAS. Cary, N.C.: SAS Institute.
Allison, P.D. (2009). Fixed effects regression models. SAGE publications.
Allison, P.D. (2019). Asymmetric fixed effects models for panel data. Socius: Sociological Research for a Dynamic World, 5, 1-12.
Allison, P.D., & Christakis, N. A. (2006). Fixed-effects methods for the analysis of nonrepeated events. Sociological Methodology, 36, 155-172.
Allison, P.D., & Waterman, R. P. (2002). Fixed–effects negative binomial regression models. Sociological Methodology, 32, 247-265.
Allison, P.D., Williams, R., and Moral-Benito, E. (2017). Maximum likelihood for cross-lagged panel models with fixed effects. Socius: Sociological Research for a Dynamic World, 3, 1-17.
Moral-Benito, E., Allison, P.D., & Williams, R. (2019). Dynamic panel data modelling using maximum likelihood: an alternative to Arellano-Bond. Applied Economics, 51(20), 2221-2232.
Williams, R., Allison, P.D., and Moral-Benito, E. (2018). xtdpdml: linear dynamic panel-data estimation using maximum likelihood and structural equation modeling. The Stata Journal, 18, 293–326.