Title: Essays in the economics of lifecycle decision making
Description: This dissertation combines three separate essays related to aging and decision making. Chapter 1 examines the brand preferences of cigarette smokers over the lifecycle. Using repeated cross-sections from the California Tobacco Survey, I ask whether cigarette manufacturers can internalize the benefits from attracting new smokers into the market, as opposed to losing their new smokers to competition. Using Mckenzie (2002)'s method for disentangling age, cohort, and time effects, I show that brand concentration is strongly persistent across cohort. I then combine the CTS data with a long time series of brand-level advertising data drawn from industry documents. I show that young smokers are more responsive to current advertising than adult smokers, and that adult smokers continue to show the effect of advertising in their youth. These results suggest that firms realize persistent benefits from investing in "addicting" new smokers. The next two chapters examine two key determinants of lifecycle behavior: intertemporal discounting and bounded rationality. Chapter 2 (co-authored with George-Marios Angeletos, David Laibson, Andrea Repetto, and Jeremy Tobacman, previously published in the Journal of Economic Perspectives ) examines consumers' financial decisions over time. Consumers appear to behave inconsistently, borrowing heavily in their youth but saving more heavily as they near retirement. Simulations of a hyperbolic discounting model do much better at matching this empirical lifecycle savings behavior than simulations of an exponential discounting model. Chapter 3 (co-authored with Xavier Gabaix, David Laibson, and Guillermo Moloche, previously published in the American Economic Review ) examines economic actors' ability to process information in complicated settings. The chapter presents several Mouselab-style experiments that test the Directed Cognition model.

The model predicts subject behavior considerably better than a pure rationality model.