Organizations & Markets

We track the evolution of financing of residential real estate through the housing boom in the early- to mid-2000s and the resolution of distress during the bust during the late 2000s. Financial innovation, in the form of non-traditional mortgage products and the expansion of alternative lending channels, namely non-agency securitization, fundamentally altered the mortgage landscape during the boom. We describe the impact of these changes in mortgage finance on borrowers and loan performance, as well as their impact on the resolution of distressed mortgages.

We study the drivers of the emergence of opinion leaders in a networked community where users establish links to others, indicating their "trust" for the link receiver's opinion. This leads to the formation of a network, with high in-degree individuals being the opinion leaders. We use a dyad-level proportional hazard model with time-varying covariates to model the growth of this network. To estimate our model, we use Weighted Exogenous Sampling with Bayesian Inference, a methodology that we develop for fast estimation of dyadic models on large network data sets.

We analyze the role of retail investors in stock pricing using a database uniquely suited for this purpose. The data allow us to address selection bias concerns and to separately examine aggressive (market) and passive (limit) orders. Both aggressive and passive net buying positively predict firms' monthly stock returns with no evidence of return reversal. Only aggressive orders correctly predict firm news, including earnings surprises, suggesting they convey novel cash flow information.

We propose and estimate a structural model of daily stock market activity to test competing theories of trading volume. The model features informed rational speculators and uninformed agents who trade either to hedge endowment shocks or to speculate on perceived information. To identify the model parameters, we exploit enormous empirical variation in trading volume, market liquidity, and return volatility associated with regular and extended-hours markets as well as news arrival. We find that the model matches market activity well when we allow for overconfidence.

The current research examines the extent to which visual perception is distorted by one's experience of power. Specifically, does power distort impressions of another person's physical size? Two experiments found that participants induced to feel powerful through episodic primes (Study 1) and legitimate leadership role manipulations (Study 2) systematically underestimated the size of a target, and participants induced to feel powerless systematically overestimated the size of the target. These results emerged whether the target person was in a photograph or face-to-face.

Epidemiological and animal studies often find that higher social status is associated with better physical health outcomes, but these findings are by design correlational and lack mediational explanations. In two studies, we examine neurobiological reactivity to test the hypothesis that higher social status leads to salutary short-term psychological, physiological, and behavioral responses. In Study 1, we measured police officers' subjective social status and had them engage in a stressful task during which we measured cardiovascular and neuroendocrine reactivity.

In this paper, we develop an account of the failure of private market-governance institutions to maintain market order by highlighting how control of their distributional function by powerful elites limits their regulatory capacity. We examine the New York Clearing House Association (NYCHA), a private market-governance institution among commercial banks in Manhattan that operated from 1853 to 1913.

A high quality customer database is a cornerstone of successful interactive marketing strategies and tactics. Based on the notion that customer data quality is not only a technical but also an organizational problem, this study develops and tests an organizational learning framework of the relationship between organizational processes, customer data quality and firm performance. The findings show that high quality customer data impact both customer and business performance and that the most important driver of customer data quality comes from the executive suite.

Negative social feedback is often a source of distress. However, self-verification theory provides the counterintuitive explanation that negative feedback leads to less distress when it is consistent with chronic self-views. Drawing from this work, the present study examined the impact of receiving self-verifying feedback on outcomes largely neglected in prior research: implicit responses (i.e., physiological reactivity, facial expressions) that are difficult to consciously regulate and downstream behavioral outcomes.