The mental health paradox

The authors review the evidence that mental health coverage pays for itself by reducing overall health care costs, satisfies and helps patients who receive it, reduces employee absenteeism and improves employee functioning. They then explain the factors contributing to the decline in mental health services valuations and what employers can do to minimize them.     

The valuation consequences of voluntary accounting changes

Firm management typically claims that voluntary accounting method changes (VACs) are made to enhance the informativeness of earnings by better matching accounting practices with economic reality. In contrast, skeptics argue that managers adopt new accounting procedures to opportunistically manage earnings and influence their firm’s stock price. In this paper, we investigate these alternative motives for VACs. Specifically, we investigate whether VACs cause equity prices to deviate from their fundamental values in the short-term by studying the long-run stock-price performance for a sample of firms that voluntarily change accounting methods. In addition, we investigate changes in earnings informativeness by examining the behavior of earning response coefficients and the relationship between earnings and future cash flows in years surrounding the VAC event. In contrast to prior research, we find little evidence that a strategy based solely on the earnings effect of a VAC can generate abnormal returns. While we find weak evidence of post-VAC abnormal returns for extreme VACs, this result appears to be driven by the accruals anomaly documented in Sloan [Sloan, R. G. (1996). The Accounting Review, 71, 289–315]. Our evidence further suggests that earnings informativeness is not significantly altered by voluntary changes in accounting methods. Taken together, our evidence suggests the market recognizes the financial statement effects of alternative acceptable accounting methods and efficiently processes the valuation implications of VACs.

Abnormal Returns from Predicting Earnings Thresholds

This study examines the performance of a trading strategy based on the prediction of firms concurrently reporting a positive earnings change and meeting analysts’ earnings forecasts. The evidence indicates that a model predicting both earnings thresholds concurrently can yield excess returns that are incremental to predicting only one earnings threshold. Further, I find that the prediction of forecast errors is relatively more important than predicting earnings changes as the incremental benefit from predicting earnings changes concurrently with forecast errors is small relative to a model that predicts only forecast errors. The results hold while controlling for various risk factors and known anomalies.     

Building multivariate Sato models with linear dependence

The increased trading in multi-name financial products has required the development of state-of-the-art multivariate models. These models should be computationally tractable and, at the same time, flexible enough to explain the stylized facts of asset log-returns and of their dependence structure. The popular class of multivariate Lévy models provides a variety of tractable models, but suffers from one major shortcoming: Lévy models can replicate single-name derivative prices for a given time-to-maturity, but not for the whole range of quoted strikes and maturities, especially during periods of market turmoil. Moreover, there is a significant discrepancy between the moment term structure of Lévy models and the one observed in the market. Sato processes on the other hand exhibit a moment term structure that is more in line with empirical evidence and allow for a better replication of single-name option price surfaces. In this paper, we propose a general framework for multivariate models characterized by independent and time-inhomogeneous increments, where the asset log-return processes at unit time are modeled as linear combinations of independent self-decomposable random variables, where at least one self-decomposable random variable is shared by all the assets. As examples, we consider two general subclasses within this new framework, where we assume a normal variance-mean mixture with a one-sided tempered stable mixing density or a difference of one-sided tempered stable laws for the distribution of the risk factors. Particular attention is given to the models' ability to explain the asset dependence structure. A numerical study reveals the advantages of these new types of models.     

The unique predictive ability of sex-role identity in explaining women's response to advertising

This study explores and compares the separate contributions of masculinity, femininity, and androgyny in explaining women's response to modern and traditional sex-role portrayals in print advertisements. It also considers whether sex-role identity captures unique predictive information above and beyond specific demographic variables. This study consisted of a field experiment among 200 adult women; each respondent was exposed to several carefully prepared print ads. The findings suggest that sex-role identity is a useful predictor of women's response to advertisements. Moreover, masculinity is the driving force in explaining women's response to the tested ads. Androgyny, however, adds no incremental predictive ability. The findings indicate that sex-role identity does capture new information, unexplained by specific demographic variables. © 1994 John Wiley & Sons, Inc.     

Zoning and Industrial Land Values: The Case of Philadelphia

This paper examines the market effects of zoning. Using the hedonic framework, we perform an empirical analysis that shows that lots zoned for industrial use in our study area are associated with a 58% price discount. The paper highlights the outcome of static zoning policies in a dynamic world. As the demand for industrial land in Philadelphia declined (resulting in vacancies), prices fell, but zoning was slow to adjust, therefore land conversion did not occur to re-equilibrate.     

Alternative measurement approaches to consumer values: The list of values and the rokeach value survey

Two methods of measuring consumer values, the List of Values and the Rokeach Value Survey, are compared. Both involve some social desirability responding but both have convergent, discriminant, and empirical validity for consumer research. The List of Values may be preferable for some types of research because it detects more daily influence in people's lives and because it is simpler to administer.