Inflation Expectations over the Life Cycle under Rational Inattention
by Jessica Schultz
Abstract
This paper explores how people track inflation over their lifetimes while facing tradeoffs between attention and certainty. It first employs a flexible modification of the Recursive Least Squares Learning approach from Malmendier and Nagel (MN) (2016) to find that households place weight on each inflation observation in a hump-shaped pattern over age when using past observations to set expectations about the future. This finding departs from MN, which models a strictly increasing weighting scheme with age. This paper then uses these findings to motivate a theory of Rational Inattention (RI) in inflation: as households age and accumulate wealth, their knowledge of the inflation rate becomes more important in their financial decisions–so they pay more attention to inflation. Consequently, as they decumulate wealth during their retirement, they have less reason to track inflation as accurately.
This paper subsequently formalizes this theory in a two-period RI model in which inflation-driven uncertainty in the interest rate between a working period and a retirement period can be reduced at a cost; this reduction in uncertainty occurs through observing an endogenously chosen signal that is correlated with the interest rate. It finds that as wealth increases before retirement, the optimal choice of signal precision increases as well. These findings help explain the hump-shaped weighting scheme for inflation observations in the empirical section, assuming changes in these weights over age are related in part to changes in household wealth. Ultimately, these findings suggest that monetary policy that focuses on long-term inflation stability or accounts for this heterogeneity may be most effective in anchoring consumer inflation expectations and increasing consumer welfare.
Professor Francesco Bianchi, Faculty Advisor
Professor Michelle Connolly, Faculty Advisor
JEL Codes: E2, E21, E31
Inflation Volatility and Economic Growth: A Disaggregated Analysis
By Nicholas Becker
Inflation volatility has been theorized to negatively affect real economic growth, but empirical analyses have returned somewhat mixed results. Constructing my own dataset of household group inflation rates by disaggregating and linking Consumer Expenditure Survey data with Consumer Price Index data, I analyze inflation volatility and economic growth from the ground-up. Calculating inflation volatility using a moving-window methodology, I find: 1) significant heterogeneity of inflation volatility across household groups; 2) a negative correlation between inflation volatility and economic growth from 2000-2012 for all household groups, with a stronger negative correlation at lower income levels; 3) a positive correlation between volatility and growth during expansions and a negative correlation between volatility and growth during recessions. Results suggest reducing inflation volatility and refining policymaking to account for the heterogeneity of inflation volatility could improve growth over the longrun. Further analysis is warranted.
Advisor: Nir Jaimovich, Alison Hagy | JEL Codes: E31, E32, O40 | Tagged: Inflation, Economic Growth