Learning Models in Economics: Applications Across Fields

In this final installment of the learning models mini-series, we survey how Bayesian and non-Bayesian learning models have been applied across multiple fields of economics to resolve empirical puzzles about human behavior under uncertainty. The core insight is that information is costly to obtain, and this friction generates rich, testable predictions about behavior in education, labor markets, industrial organization, and family economics. Slides used in the video are available here: https://raw.githack.com/tyleransom/structural-econ-guy/master/13-Learning/08-Applications.pdf Source code for the slides is here: https://github.com/tyleransom/structural-econ-guy/blob/master/13-Learning/08-Applications.tex In education, learning models help explain why students drop out of high school and college, why they sort into certain majors, and why they leave science programs at high rates, often because they arrive overconfident in their abilities. In labor markets, learning explains why young workers switch occupations frequently and why wages become increasingly correlated with ability measures that employers cannot directly observe at hire. In industrial organization, learning underlies brand switching behavior and the informational role of advertising. And in family economics, cohabitation emerges naturally as a rational strategy for couples to learn about match quality before committing to marriage. Papers referenced in this video: - Ackerberg, Daniel A. 2003. "Advertising, Learning, and Consumer Choice in Experience Good Markets: An Empirical Examination." International Economic Review 44 (3): 1007–1040. https://doi.org/10.1111/1468-2354.t01-2-00098 - Altonji, Joseph G., and Charles R. Pierret. 2001. "Employer Learning and Statistical Discrimination." Quarterly Journal of Economics 116 (1): 313–350. https://doi.org/10.1162/003355301556329 - Arcidiacono, Peter. 2004. "Ability Sorting and the Returns to College Major." Journal of Econometrics 121 (1–2): 343–375. https://doi.org/10.1016/j.jeconom.2003.10.010 - Arcidiacono, Peter, Esteban Aucejo, Arnaud Maurel, and Tyler Ransom. 2025. "College Attrition and the Dynamics of Information Revelation." Journal of Political Economy 133 (1): 53–110. https://doi.org/10.1086/732526 - Brien, Michael J., Lee A. Lillard, and Steven Stern. 2006. "Cohabitation, Marriage, and Divorce in a Model of Match Quality." International Economic Review 47 (2): 451–494. https://doi.org/10.1111/j.1468-2354.2006.00385.x - Erdem, Tülin, and Michael P. Keane. 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets." Marketing Science 15 (1): 1–20. https://doi.org/10.1287/mksc.15.1.1 - Farber, Henry S., and Robert Gibbons. 1996. "Learning and Wage Dynamics." Quarterly Journal of Economics 111 (4): 1007–1047. https://doi.org/10.2307/2946706 - Fu, Chao, Nicolás Grau, and Jorge Rivera. 2022. "Dropping Out: Market Failures and the Role of Government Interventions." Quantitative Economics 13 (2): 761–805. https://doi.org/10.3982/QE1560 - Miller, Robert A. 1984. "Job Matching and Occupational Choice." Journal of Political Economy 92 (6): 1086–1120. https://doi.org/10.1086/261276 - Stinebrickner, Ralph, and Todd R. Stinebrickner. 2014. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model." Journal of Labor Economics 32 (3): 601–644. https://doi.org/10.1086/675308 - Stinebrickner, Todd R., and Ralph Stinebrickner. 2014. "A Major in Science? Initial Beliefs and Final Outcomes for College Major and Dropout." Review of Economic Studies 81 (1): 426–472. https://doi.org/10.1093/restud/rdt025 Tyler Ransom is an Associate Professor of Economics at the University of Oklahoma. Subscribe for more videos on data science, econometrics, and research methods! #learningmodelseconomics #Bayesianlearningeconomics #informationfrictionseconomics #dynamicdiscretechoice #structuraleconometrics #collegedropoutlearningmodel #occupationalchoiceBayesian #employerlearningwages #consumerlearningIO #brandchoicedynamics #Bayesianupdatingeconomics #learningandwages #informationeconomics #structuralmodelseducation #humancapitaluncertainty #collegemajorchoicemodel #STEMattritionlearning #sciencemajordropout #highschooldropoutChile #occupationalswitchingmodel #jobmatchingmodel #matchqualitylearning #employerlearningNLSY #ASVABwages #statisticaldiscrimination #advertisingconsumerlearning #brandswitchingcosts #cohabitationmarriagelearning #matchqualitymarriage #dynamicstructuralmodel #discretechoicemodel #collegeattritiondynamics