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...

We argue that the US 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...

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...

We estimate the degree of 'stickiness' in aggregate consumption growth (sometimes interpreted as reflecting consumption habits) for thirteen advanced economies. We find that, after controlling for measurement error, consumption growth has a high degree of autocorrelation, with a stickiness...

Buffer-stock models of saving are now standard in the consumption literature. This paper builds theoretical foundations for rigorous understanding of the main features of such models, including the existence of a target wealth ratio and the proposition that aggregate consumption growth equals...

This paper explains why the collection of panel (reinterview) data on a comprehensive measure of household expenditures is of great value both for measuring budget shares (the core mission of a Consumer Expenditure survey) and for the most important research and public policy uses to which CE...

We present a tractable model of the effects of nonfinancial risk on intertemporal choice. Our purpose is to provide a simple framework that can be adopted in fields like representative-agent macroeconomics, corporate finance, or political economy, where most modelers have chosen not to...

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.