To predict the effects of the 2020 U.S. "CARES" act on consumption, we extend a model that matches responses of households to past consumption stimulus packages. The extension allows us to account for two novel features of the coronavirus crisis. First, during the lockdown, many types of...

We argue that the U.S. personal saving rate's long stability (from the 1960s through the early 1980s), subsequent steady decline (1980s-2007), and recent substantial increase (2008-2011) can all be interpreted using a parsimonious `buffer stock' model of optimal consumption in the presence of...

In a model calibrated to match micro- and macroeconomic evidence on household income dynamics, we show that a modest degree of heterogeneity in household preferences or beliefs is sufficient to match empirical measures of wealth inequality in the United States. The heterogeneity-augmented...

We argue that the U.S. personal saving rate's long stability (1960s-1980s), subsequent steady decline (1980s-2007), and recent substantial rise (2008-2011) can be interpreted using a parsimonious 'buffer stock' model of consumption in the presence of labor income uncertainty and credit...

Economists have long emphasized the importance of expectations in determining macroeconomic outcomes Yet there has been almost no recent effort to model actual empirical expectations data; instead macroeconomists usually simply assume expectations are rational This paper shows that while...

This is an entry for The New Palgrave Dictionary of Economics, 2nd Ed.

Buffer-stock versions of the dynamic stochastic optimizing model of saving are now standard in the consumption literature. This paper builds theoretical foundations for rigorous understanding of the main characteristics of buffer stock models, including the existence of a target level of wealth...

Since the foundational work of Keynes (1936) macroeconomists have emphasized the importance of agents' expectations in determining macroeconomic outcomes Yet in recent decades macroeconomists have devoted almost no effort to modeling actual empirical expectations data instead assuming all...

The standard approach to modelling consumption/saving problems is to assume that the decisionmaker is solving a dynamic stochastic optimization problem However under realistic descriptions of utility and uncertainty the optimal consumption/saving decision is so difficult that only recently...

This paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic growth problems. Software is provided.