Faculty AI Research

By comparing reality to what might have been, counterfactuals promote a relational processing style characterized by a tendency to consider relationships and associations among a set of stimuli. As such, counterfactual mind-sets were expected to improve performance on tasks involving the consideration of relationships and associations but to impair performance on tasks requiring novel ideas that are uninfluenced by salient associations. The authors conducted several experiments to test this hypothesis.

Not all first impressions have equal longevity. Which kinds of impression have the greatest mobility--downward and upward--over the course of acquaintanceships? Previous research has indicated that first impressions of extraversion (E) have greater longitudinal stability than first impressions of other Big Five traits: agreeableness (A), conscientiousness (C), emotional stability (ES), and openness (O). In this article, we propose an inferential account of E impression stability.

Information processing research published in the Journal of Consumer Research has produced theoretical advances in our understanding of consumer behavior. This article highlights two themes that have emerged in consumer research over the past 15 years. These are the interplay between motivation and cognition and the impact of implicit processes on consumer behavior. We examine these themes in three core areas of information processing research—memory, affect, and persuasion.

Event sponsors often do not receive proper credit for their efforts. This issue was examined in a field study involving over 300 baseball fans attending minor league games during the summer season. Signal detection analyses reveal that, even among such sports fans, the ability to correctly discriminate actual official sponsors of the home team from matched foils, although above chance, was rather poor. Consistent with recent laboratory findings, sponsor identification responses were further found to be heavily influenced by the mere plausibility of the brand as a potential sponsor.

New product development is integral to marketing. There are questions, however, regarding the extent to which new products are good and for whom they are good. While benefits may be obvious for manufacturers, sellers, and users of any particular product, stakeholders beyond the transaction and direct usage of said product may receive no benefits and perhaps may be harmed by new products.

We consider the problem of estimating convex boundaries from blurred and noisy observations. In our model, the convolution of an intensity function f is observed with additive Gaussian white noise. The function f is assumed to have convex support G whose boundary is to be recovered.

Counter to the "start high, end high" effect of anchors in individual judgments and dyadic negotiations, 6 studies using a diverse set of methodologies document how and why, in the social setting of auctions, lower starting prices result in higher final prices. Three processes contribute to this effect. First, lower starting prices reduce barriers to entry, which increase traffic and generate higher final prices. Second, lower starting prices entice bidders to invest time and energy (creating sunk costs) and, consequently, escalate their commitments.

Information markets are markets for contracts that yield payments based on the outcome of an uncertain future event, such as a presidential election. They have the potential to improve decision making and policies throughout the economy. At the same time, there are regulatory hurdles to establish such markets, largely arising from state prohibitions on Internet gambling.

The conference paper by Johnson (2006, Review of Accounting Studies, forthcoming) develops an incomplete-contracting transfer pricing model with a number of novel features: taxation, sequential investments, and intangible assets being transferred. This discussion aims to disentangle these features so as to highlight those that are the key drivers of the results. Moreover, I show that some of the results can be generalized to settings involving a greater level of technological interdependency between the divisions.

We study dating behavior using data from a Speed Dating experiment where we generate random matching of subjects and create random variation in the number of potential partners. Our design allows us to directly observe individual decisions rather than just final matches. Women put greater weight on the intelligence and the race of partner, while men respond more to physical attractiveness. Moreover, men do not value women's intelligence or ambition when it exceeds their own. Also, we find that women exhibit a preference for men who grew up in affluent neighborhoods.

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.

Because it is difficult to fully control behavior with incentives and contracts, the success of organizations depends on members' willingness to take unselfish, efficiency-enhancing actions, or on what George A. Akerlof and Rachel E. Kranton (2005) call "motivational capital" (if, for example, workers may put in extra effort even if it is not rewarded, and sanction selfish behavior by others even when it is costly to do so, this may fill the breach left by regular incentive schemes).

Can one identify a "philosophy of regulation" that underlies the regulatory advocacy of the Fed under Chairman Greenspan? Although the Fed's advocacy on various matters may appear somewhat contradictory or, at least, philosophically heterodox, the Fed has behaved in a manner that is remarkably predictable, once one takes account of the political arena in which both regulatory and monetary policy are made. There is fairly straightforward logic to the Fed's regulatory advocacy.

The stochastic differential equations for affine jump diffusion models do not yield exact solutions that can be directly simulated. Discretization methods can be used for simulating security prices under these models. However, discretization introduces bias into the simulation results and a large number of time steps may be needed to reduce the discretization bias to an acceptable level. This paper suggests a method for the exact simulation of the stock price and variance under Heston's stochastic volatility model and other affine jump diffusion processes.

We examine the effects of both equity market liberalization and capital account openness on real consumption growth variability. We show that financial liberalization is mostly associated with lower consumption growth volatility. Our results are robust, surviving controls for business-cycle effects, economic and financial development, the quality of institutions, and other variables. Countries that have more open capital accounts experience a greater reduction in consumption growth volatility after equity market openings.

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.

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.

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.

Hospital diagnostic facilities, such as magentic resonance imaging centers, typically provide service to several diverse patient groups: outpatients, who are scheduled in advance; inpatients, whose demands are generated randomly during the day; and emergency patients, who must be served as soon as posssible. Our analysis focuses on two inter-related tasks: designing the outpatient appoitnment schedule, and establishing dynamic priority rules for admitting patients into service.

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.

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.

We study nonparametric change-point estimation from indirect noisy observations. Focusing on the white noise convolution model, we consider two classes of functions that are smooth apart from the change-point. We establish lower bounds on the minimax risk in estimating the change-point and develop rate optimal estimation procedures. The results demonstrate that the best achievable rates of convergence are determined both by smoothness of the function away from the change-point and by the degree of ill-posedness of the convolution operator.

This article is based on a chapter of the book Pricing and Revenue Optimization, by Robert Phillips. Dr. Phillips contends that profit-based pricing is relatively new to the financial services industry; after explaining its success in other industries, he provides 10 key elements of a successful profit-based loan-pricing model.

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.

We consider a single class open queueing network, also known as a generalized Jackson network (GJN). A classical result in heavy-traffic theory asserts that the sequence of normalized queue length processes of the GJN converge weakly to a reflected Brownian motion (RBM) in the orthant, as the traffic intensity approaches unity. However, barring simple instances, it is still not known whether the stationary distribution of RBM provides a valid approximation for the steady-state of the original network.

We provide a new rationale for pyramidal ownership in family business groups. A pyramid allows a family to access all retained earnings of a firm it already controls to set up a new firm, and to share the new firm's nondiverted payoff with shareholders of the original firm. Our model is consistent with recent evidence of a small separation between ownership and control in some pyramids, and can differentiate between pyramids and dual-class shares, even when either method can achieve the same deviation from one share–one vote.