Decision Making & Negotiations

When a boom ends, the downturn is generally sharp and short. When growth resumes, the boom is more gradual. Our explanation rests on learning about productivity. When agents believe productivity is high, they work, invest, and produce more. More production generates higher precision information. When the boom ends, precise estimates of the slowdown prompt decisive reactions: Investment and labor fall sharply. When growth resumes, low production yields noisy estimates of recovery. Noise impedes learning, slows recovery, and makes booms more gradual than downturns.

Records of over half a million participants in more than 600 401(k) plans indicate that participants tend to allocate their contributions evenly across the funds they use, with the tendency weakening with the number of funds used. The number of funds used, typically between three and four, is not sensitive to the number of funds offered by the plans, which ranges from 4 to 59. A participant?s propensity to allocate contributions to equity funds is not very sensitive to the fraction of equity funds among offered funds.

*Winner, Distinguished Paper award of the Smith-Breeden Prize.

The authors posit that women can rely on self-monitoring to overcome negative gender stereotypes in certain performance contexts. In a study of mixed-sex task groups, the authors found that female group members who were high self-monitors were considered more influential and more valuable contributors than women who were low self-monitors. Men benefited relatively less from self-monitoring behavior.

Raghunathan and Pham (1999) observed that, although of the same valence, states of anxiety and sadness have distinct effects on decision making. Results from two new experiments confirm that anxiety triggers a preference for options that are more rewarding and comforting. Our results also indicate that these effects are driven by an affect-as-information process, and are most pervasive when the source of anxiety or sadness is not salient.

A consumer's decision to rely on a friend to act as an agent depends, in part, on beliefs about the friend's knowledge. Three studies examine the role of motivational and cognitive biases in estimating friends' personalized knowledge (e.g., knowledge of one's movie preferences). Results show that estimates of close friends' knowledge are less accurate than those of less close friends for personalized but not for impersonal knowledge.

We develop discrete choice models that account for parameter driven preference dynamics. Choice model parameters may change over time because of shifting market conditions or due to changes in attribute levels over time or because of consumer learning. In this paper we show how such preference evolution can be modeled using hierarchial Bayesian state space models of discrete choice. The main feature of our approach is that it allows for the simultaneous incorporation of multiple sources of preference and choice dynamics.

Recent empirical research documents that the strong short-term relationship between U.S. monetary aggregates on one side and inflation and real output on the other has mostly disappeared since the early 1980s. Using the direct estimate of flows of U.S. dollars abroad we find that domestic money (currency corrected for the foreign holdings of dollars) contains valuable information about future movements of U.S. inflation and real output.

We examine the pricing of aggregate volatility risk in the cross-section of stock returns. Consistent with theory, we find that stocks with high sensitivities to innovations in aggregate volatility have low average returns. Stocks with high idiosyncratic volatility relative to the Fama and French (1993, Journal of Financial Economics 25, 2349) model have abysmally low average returns. This phenomenon cannot be explained by exposure to aggregate volatility risk.