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Precautionary Saving in the Small and in the Large

Econometrica 1990 58(1), 53
The theory of precautionary saving is shown in this paper to be isomorphic to the Arrow-Pratt theory of risk aversion, making possible the application of a large body of knowledge about risk aversion to precautionary saving, and more generally, to the theory of optimal choice under risk. In particular, a measure of the strength of precautionary saving motive analogous to the Arrow-Pratt measure of risk aversion is used to establish a number of new propositions about precautionary saving, and to give a new interpretation of the Oreze-Modigliani substitution effect.

On the Concavity of the Consumption Function

Econometrica 1996 64(4), 981
At least since Keynes (1935), many economists have had the intuition that the marginal propensity to consume out of wealth declines as wealth increases. Nonetheless, standard perfect-certainty and certainty equivalent versions of intertemporal optimizing models of consumption imply a marginal propensity to consume that is unrelated to the level of household wealth. We show that adding income uncertainty to the standard optimization problem induces a concave consumption function in which, as Keynes suggested, the marginal propensity to consume out of wealth or transitory income declines with the level of wealth.

Sticky-Price Models and Durable Goods

American Economic Review 2007 97(3), 984-998
The inclusion of a durable goods sector in sticky-price models has strong and unexpected implications. Even if most prices are flexible, a small durable goods sector with sticky prices may be sufficient to make aggregate output react to monetary policy as though most prices were sticky. In contrast, flexibly priced durables with sufficiently long service lives can undo the implications of standard sticky price models. In a limiting case, flexibly priced durables cause monetary policy to have no effect on aggregate output. Our analysis suggests that durable goods prices are the most relevant data for calibrating price rigidity.

Are Technology Improvements Contractionary?

American Economic Review 2006 96(5), 1418-1448
Yes. We construct a measure of aggregate technology change, controlling for aggregation effects, varying utilization of capital and labor, nonconstant returns, and imperfect competition. On impact, when technology improves, input use and nonresidential investment fall sharply. Output changes little. With a lag of several years, inputs and investment return to normal and output rises strongly. The standard one-sector real-business-cycle model is not consistent with this evidence. The evidence is consistent, however, with simple sticky-price models, which predict the results we find: when technology improves, inputs and investment generally fall in the short run, and output itself may also fall.

Portfolio rebalancing in general equilibrium

Journal of Financial Economics 2020 135(3), 816-834
This paper develops an overlapping generations model of optimal rebalancing where agents differ in age and risk tolerance. Equilibrium rebalancing is driven by a leverage effect that influences levered and unlevered agents in opposite directions, an aggregate risk tolerance effect that depends on the distribution of wealth, and an intertemporal hedging effect. After a negative macroeconomic shock, relatively risk-tolerant investors sell risky assets, while more risk-averse investors buy them. Owing to interactions of leverage and changing wealth, however, all agents have higher exposure to aggregate risk after a negative macroeconomic shock and lower exposure after a positive shock.

What Do You Think Would Make You Happier? What Do You Think You Would Choose?

American Economic Review 2012 102(5), 2083-2110
Would people choose what they think would maximize their subjective well-being (SWB)? We present survey respondents with hypothetical scenarios and elicit both choice and predicted SWB rankings of two alternatives. While choice and predicted SWB rankings usually coincide in our data, we find systematic reversals. We identify factors-such as predicted sense of purpose, control over one's life, family happiness, and social status-that help explain hypothetical choice controlling for predicted SWB. We explore how our findings vary by SWB measure and by scenario. Our results have implications regarding the use of SWB survey questions as a proxy for utility.