References

Allison, Paul D. 1999. “Comparing Logit and Probit Coefficients Across Groups.” Sociological Methods & Research 28 (2): 186–208. https://doi.org/10.1177/0049124199028002003.

Allison, Paul D. 2002. Missing Data. Quantitative Applications in the Social Sciences 136. Sage.

Allison, Paul D. 2009. Fixed Effects Regression Models. Quantitative Applications in the Social Sciences 160. Sage.

Austin, Peter C. 2011. “An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.” Multivariate Behavioral Research 46 (3): 399–424.

Austin, Peter C., Nathaniel Jembere, and Maria Chiu. 2018. “Propensity Score Matching and Complex Surveys.” Statistical Methods in Medical Research 27 (4): 1240–57.

Austin, Peter C., and Juan Merlo. 2017. “Intermediate and Advanced Topics in Multilevel Logistic Regression Analysis.” Statistics in Medicine 36 (20): 3257–77.

Bailey, Paul, Blue Webb, Claire Kelley, Trang Nguyen, and Huade Huo. 2023. WeMix: Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation. https://doi.org/10.32614/CRAN.package.WeMix.

Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48.

Bell, Andrew, and Kelvyn Jones. 2014. “Another ‘Futile Quest’? A Simulation Study of Yang and Land’s Hierarchical Age-Period-Cohort Model.” Demographic Research 30 (11): 333–60.

Bell, Andrew, and Kelvyn Jones. 2015. “Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data.” Political Science Research and Methods 3 (1): 133–53.

Berg’e, Laurent, Kyle Butts, and Grant McDermott. 2026. “Fast and User-Friendly Econometrics Estimations: The R Package Fixest.” arXiv Preprint arXiv:2601.21749, ahead of print. https://doi.org/10.48550/arXiv.2601.21749.

Blinder, Alan S. 1973. “Wage Discrimination: Reduced Form and Structural Estimates.” Journal of Human Resources 8 (4): 436–55.

Breen, Richard, Kristian Bernt Karlson, and Anders Holm. 2018. “Interpreting and Understanding Logits, Probits, and Other Nonlinear Probability Models.” Annual Review of Sociology 44: 39–54.

Breiman, Leo. 2001. “Random Forests.” Machine Learning 45 (1): 5–32.

Breslow, N. E. 1984. “Extra-Poisson Variation in Log-Linear Models.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 33 (1): 38–44. https://doi.org/10.2307/2347661.

Buuren, Stef van. 2018. Flexible Imputation of Missing Data. 2nd ed. CRC Press. https://stefvanbuuren.name/fimd/.

Buuren, Stef van, and Karin Groothuis-Oudshoorn. 2011. “Mice: Multivariate Imputation by Chained Equations in R.” Journal of Statistical Software 45 (3): 1–67.

Cameron, A. Colin, and Douglas L. Miller. 2015. “A Practitioner’s Guide to Cluster-Robust Inference.” Journal of Human Resources 50 (2): 317–72. https://doi.org/10.3368/jhr.50.2.317.

Cameron, A. Colin, and Pravin K. Trivedi. 2013. Regression Analysis of Count Data. 2nd ed. Cambridge University Press.

Centers for Disease Control and Prevention. 2020. Weighting the BRFSS Data. https://www.cdc.gov/brfss/annual_data/2019/pdf/weighting-2019-508.pdf.

Centers for Disease Control and Prevention. 2025. 2024 SMART BRFSS MMSA Methodology. https://www.cdc.gov/brfss/annual_data/2024/pdf/2024_SMART_BRFSS_MMSA_Methodology-508.pdf.

Chen, Tianqi, and Carlos Guestrin. 2016. “XGBoost: A Scalable Tree Boosting System.” Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785–94.

Courtemanche, Charles, James Marton, Benjamin Ukert, Aaron Yelowitz, and Daniela Zapata. 2019. “Effects of the Affordable Care Act on Health Behaviors After 3 Years.” Eastern Economic Journal 45 (1): 7–33. https://doi.org/10.1057/s41302-018-0119-4.

Cribari-Neto, Francisco, and Achim Zeileis. 2010. “Beta Regression in R.” Journal of Statistical Software 34 (2): 1–24. https://doi.org/10.18637/jss.v034.i02.

Das Gupta, Prithwis. 1993. Standardization and Decomposition of Rates: A User’s Manual. Current Population Reports, Series P23-186. U.S. Bureau of the Census.

DuGoff, Eva H., Megan Schuler, and Elizabeth A. Stuart. 2014. “Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys.” Health Services Research 49 (1): 284–303.

Elwert, Felix, and Christopher Winship. 2014. “Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable.” Annual Review of Sociology 40: 31–53.

Enders, Craig K., and Davood Tofighi. 2007. “Centering Predictor Variables in Cross-Sectional Multilevel Models: A New Look at an Old Issue.” Psychological Methods 12 (2): 121–38.

Fairlie, Robert W. 2005. “An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models.” Journal of Economic and Social Measurement 30 (4): 305–16.

Fortin, Nicole, Thomas Lemieux, and Sergio Firpo. 2011. “Decomposition Methods in Economics.” In Handbook of Labor Economics, edited by Orley Ashenfelter and David Card, vol. 4A. Elsevier.

Fosse, Ethan, and Christopher Winship. 2019. “Analyzing Age-Period-Cohort Data: A Review and Critique.” Annual Review of Sociology 45: 467–92.

Gelman, Andrew, and Jennifer Hill. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

Greifer, Noah. 2026. WeightIt: Weighting for Covariate Balance in Observational Studies. https://doi.org/10.32614/CRAN.package.WeightIt.

Hainmueller, Jens. 2012. “Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies.” Political Analysis 20 (1): 25–46.

Harrell, Jr., Frank E. 2015. Regression Modeling Strategies. 2nd ed. Springer.

Hastie, Trevor J., and Robert J. Tibshirani. 1990. Generalized Additive Models. Chapman; Hall.

Hernán, Miguel A., and James M. Robins. 2020. Causal Inference: What If. Chapman & Hall/CRC.

Hin, Lin-Yee, and You-Gan Wang. 2009. “Working-Correlation-Structure Identification in Generalized Estimating Equations.” Statistics in Medicine 28 (4): 642–58.

Hlavac, Marek. 2022. Oaxaca: Blinder-Oaxaca Decomposition in R. Social Policy Institute. https://CRAN.R-project.org/package=oaxaca.

Ho, Daniel E., Kosuke Imai, Gary King, and Elizabeth A. Stuart. 2011. “MatchIt: Nonparametric Preprocessing for Parametric Causal Inference.” Journal of Statistical Software 42 (8): 1–28. https://doi.org/10.18637/jss.v042.i08.

Højsgaard, Søren, Ulrich Halekoh, and Jun Yan. 2006. “The R Package Geepack for Generalized Estimating Equations.” Journal of Statistical Software 15 (2): 1–11.

Hummer, Robert A. 1993. “Racial Differentials in Infant Mortality in the U.S.: An Examination of Social and Health Determinants.” Social Forces 72 (2): 529–54.

Iannone, Richard, Joe Cheng, Barret Schloerke, et al. n.d. Gt: Easily Create Presentation-Ready Display Tables. https://CRAN.R-project.org/package=gt.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2021. An Introduction to Statistical Learning with Applications in R. 2nd ed. Springer.

Jann, Ben. 2008. “The Blinder-Oaxaca Decomposition for Linear Regression Models.” The Stata Journal 8 (4): 453–79.

Karlson, Kristian Bernt, Anders Holm, and Richard Breen. 2012. “Comparing Regression Coefficients Between Same-Sample Nested Models Using Logit and Probit: A New Method.” Sociological Methodology 42 (1): 286–313. https://doi.org/10.1177/0081175012444861.

Keyfitz, Nathan. 1968. Introduction to the Mathematics of Population. Addison-Wesley.

Kish, Leslie. 1992. “Weighting for Unequal P_i.” Journal of Official Statistics 8 (2): 183–200.

Kitagawa, Evelyn M. 1955. “Components of a Difference Between Two Rates.” Journal of the American Statistical Association 50 (272): 1168–94.

Kleinman, Ken, and Nicholas J. Horton. 2014. SAS and R: Data Management, Statistical Analysis, and Graphics. 2nd ed. Chapman; Hall/CRC.

Kuhn, Max, and Julia Silge. 2022. Tidy Modeling with R: A Framework for Modeling in the Tidyverse. O’Reilly Media. https://www.tmwr.org.

Lambert, Diane. 1992. “Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing.” Technometrics 34 (1): 1–14.

Liang, Kung-Yee, and Scott L. Zeger. 1986. “Longitudinal Data Analysis Using Generalized Linear Models.” Biometrika 73 (1): 13–22.

Little, Roderick J. A., and Donald B. Rubin. 2019. Statistical Analysis with Missing Data. 3rd ed. Wiley.

Lohr, Sharon L. 2019. Sampling: Design and Analysis. 2nd ed. CRC Press.

Long, J. Scott, and Jeremy Freese. 2014. Regression Models for Categorical Dependent Variables Using Stata. 3rd ed. Stata Press.

Lumley, Thomas. 2010. Complex Surveys: A Guide to Analysis Using R. John Wiley; Sons.

Lumley, Thomas, and Alastair Scott. 2014. “Tests for Regression Models Fitted to Survey Data.” Australian & New Zealand Journal of Statistics 56 (1): 1–14.

Lumley, Thomas, and Alastair Scott. 2015. “AIC and BIC for Modeling with Complex Survey Data.” Journal of Survey Statistics and Methodology 3 (1): 1–18.

Luo, Liying. 2013. “Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem.” Demography 50 (6): 1945–67.

Luo, Liying, and James S. Hodges. 2022. “The Age-Period-Cohort-Interaction Model for Describing and Investigating Inter-Cohort Deviations and Intra-Cohort Life-Course Dynamics.” Sociological Methods & Research 51 (3): 1164–210.

Manson, Steven, Jonathan Schroeder, David Van Riper, et al. n.d. IPUMS National Historical Geographic Information System. IPUMS. https://www.nhgis.org.

McCullagh, P., and J. A. Nelder. 1989. Generalized Linear Models. 2nd ed. Chapman; Hall.

Merlo, Juan, Basile Chaix, Henrik Ohlsson, et al. 2006. “A Brief Conceptual Tutorial of Multilevel Analysis in Social Epidemiology: Using Measures of Clustering in Multilevel Logistic Regression to Investigate Contextual Phenomena.” Journal of Epidemiology and Community Health 60 (4): 290–97.

Molina, Mario, and Filiz Garip. 2019. “Machine Learning for Sociology.” Annual Review of Sociology 45: 27–45.

Mood, Carina. 2010. “Logistic Regression: Why We Cannot Do What We Think We Can Do, and What We Can Do about It.” European Sociological Review 26 (1): 67–82. https://doi.org/10.1093/esr/jcp006.

Mullahy, John. 1986. “Specification and Testing of Some Modified Count Data Models.” Journal of Econometrics 33 (3): 341–65.

Mundlak, Yair. 1978. “On the Pooling of Time Series and Cross Section Data.” Econometrica 46 (1): 69–85.

National Center for Education Statistics. 2019. Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011), Kindergarten–Fifth Grade Public-Use File. U.S. Department of Education. https://nces.ed.gov/ecls/.

Nelder, J. A., and R. W. M. Wedderburn. 1972. “Generalized Linear Models.” Journal of the Royal Statistical Society: Series A (General) 135 (3): 370–84. https://doi.org/10.2307/2344614.

Neumark, David. 1988. “Employers’ Discriminatory Behavior and the Estimation of Wage Discrimination.” Journal of Human Resources 23 (3): 279–95.

Oaxaca, Ronald. 1973. “Male-Female Wage Differentials in Urban Labor Markets.” International Economic Review 14 (3): 693–709.

Oaxaca, Ronald L., and Michael R. Ransom. 1999. “Identification in Detailed Wage Decompositions.” Review of Economics and Statistics 81 (1): 154–57.

Obermeyer, Ziad, Brian Powers, Christine Vogeli, and Sendhil Mullainathan. 2019. “Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations.” Science 366 (6464): 447–53.

Pan, Wei. 2001. “Akaike’s Information Criterion in Generalized Estimating Equations.” Biometrics 57 (1): 120–25.

Pearl, Judea. 2009. Causality: Models, Reasoning, and Inference. 2nd ed. Cambridge University Press.

Pfeffermann, Danny, Chris J. Skinner, David J. Holmes, Harvey Goldstein, and Jon Rasbash. 1998. “Weighting for Unequal Selection Probabilities in Multilevel Models.” Journal of the Royal Statistical Society: Series B 60 (1): 23–40.

Preston, Samuel H., Patrick Heuveline, and Michel Guillot. 2001. Demography: Measuring and Modeling Population Processes. Blackwell.

Rabe-Hesketh, Sophia, and Anders Skrondal. 2006. “Multilevel Modelling of Complex Survey Data.” Journal of the Royal Statistical Society: Series A 169 (4): 805–27.

Rao, J. N. K., and A. J. Scott. 1984. “On Chi-Squared Tests for Multiway Contingency Tables with Cell Proportions Estimated from Survey Data.” The Annals of Statistics 12 (1): 46–60.

Raudenbush, Stephen W., and Anthony S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Sage.

Reiter, Jerome P., Trivellore E. Raghunathan, and Satkartar K. Kinney. 2006. “The Importance of Modeling the Sampling Design in Multiple Imputation for Missing Data.” Survey Methodology 32 (2): 143–49.

Rosenbaum, Paul R., and Donald B. Rubin. 1983. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika 70 (1): 41–55.

Rubin, Donald B. 1987. Multiple Imputation for Nonresponse in Surveys. Wiley.

Ruggles, Steven, Sarah Flood, Matthew Sobek, et al. 2025. IPUMS USA: Version 16.0 [Dataset]. IPUMS. https://doi.org/10.18128/D010.V16.0.

Schafer, Joseph L., and John W. Graham. 2002. “Missing Data: Our View of the State of the Art.” Psychological Methods 7 (2): 147–77.

Shuey, Kim M., and Andrea E. Willson. 2008. “Cumulative Disadvantage and Black-White Disparities in Life-Course Health Trajectories.” Research on Aging 30 (2): 200–225. https://doi.org/10.1177/0164027507311151.

Singer, Judith D., and John B. Willett. 2003. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press.

Soni, Aparna, Michael Hendryx, and Kosali Simon. 2017. “Medicaid Expansion Under the Affordable Care Act and Insurance Coverage in Rural and Urban Areas.” The Journal of Rural Health 33 (2): 217–26. https://doi.org/10.1111/jrh.12234.

Stuart, Elizabeth A. 2010. “Matching Methods for Causal Inference: A Review and a Look Forward.” Statistical Science 25 (1): 1–21.

Sudano, Joseph J., and David W. Baker. 2006. “Explaining US Racial/Ethnic Disparities in Health Declines and Mortality in Late Middle Age: The Roles of Socioeconomic Status, Health Behaviors, and Health Insurance.” Social Science & Medicine 62 (4): 909–22. https://doi.org/10.1016/j.socscimed.2005.06.041.

Textor, Johannes, Benito van der Zander, Mark S. Gilthorpe, Maciej Liśkiewicz, and George T. H. Ellison. 2016. “Robust Causal Inference Using Directed Acyclic Graphs: The R Package dagitty.” International Journal of Epidemiology 45 (6): 1887–94.

United Nations Population Division. 1983. Manual X: Indirect Techniques for Demographic Estimation. United Nations.

VanderWeele, Tyler J., and Peng Ding. 2017. “Sensitivity Analysis in Observational Research: Introducing the E-Value.” Annals of Internal Medicine 167 (4): 268–74.

von Hippel, Paul T. 2020. “How Many Imputations Do You Need? A Two-Stage Calculation Using a Quadratic Rule.” Sociological Methods & Research 49 (3): 699–718.

Voss, Paul R. 2007. “Demography as a Spatial Social Science.” Population Research and Policy Review 26 (5-6): 457–76. https://doi.org/10.1007/s11113-007-9047-4.

Walker, Kyle, and Matt Herman. n.d. Tidycensus: Load US Census Boundary and Attribute Data as ’Tidyverse’ and ’Sf’-Ready Data Frames. https://CRAN.R-project.org/package=tidycensus.

Wickham, Hadley, Mara Averick, Jennifer Bryan, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686.

Wickham, Hadley, and Jennifer Bryan. 2023. R Packages. 2nd ed. O’Reilly Media. https://r-pkgs.org.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for Data Science. 2nd ed. O’Reilly Media. https://r4ds.hadley.nz.

Wood, Simon N. 2017. Generalized Additive Models: An Introduction with R. 2nd ed. CRC Press.

Woodruff, Ralph S. 1952. “Confidence Intervals for Medians and Other Position Measures.” Journal of the American Statistical Association 47 (260): 635–46. https://doi.org/10.1080/01621459.1952.10483443.

Yang, Yang, and Kenneth C. Land. 2006. “A Mixed Models Approach to the Age-Period-Cohort Analysis of Repeated Cross-Section Surveys, with an Application to Data on Trends in Verbal Test Scores.” Sociological Methodology 36: 75–97.

Yang, Yang, and Kenneth C. Land. 2013. Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications. CRC Press.

Yun, Myeong-Su. 2004. “Decomposing Differences in the First Moment.” Economics Letters 82 (2): 275–80.

Yun, Myeong-Su. 2005. “A Simple Solution to the Identification Problem in Detailed Wage Decompositions.” Economic Inquiry 43 (4): 766–72.

Zeileis, Achim, Christian Kleiber, and Simon Jackman. 2008. “Regression Models for Count Data in R.” Journal of Statistical Software 27 (8): 1–25.

Zimmer, Stephanie A., Rebecca J. Powell, and Isabella C. Velásquez. 2024. Exploring Complex Survey Data Analysis Using R: A Tidy Introduction with srvyr and survey. CRC Press. https://tidy-survey-r.github.io/tidy-survey-book/.