FOOD AWAY FROM HOME AND CALORIC INTAKE: THE ROLE OF RESTAURANT MENU LABELING LAWS

We analyze whether local and state mandates to post calorie information on restaurant menus change the effect of consuming food prepared away from home (FAFH) on total caloric intake. Information on area demographics and the local food environment were used to construct a comparison group. For identification, we use differences in two days of dietary intake and timing variations in policy implementation. We find the effect of FAFH meals on total daily intake is reduced by 21 calories among adults and by 34 calories among young children for each year the mandate is in place. (JEL I12, I18, H75)     

Anticipating Regret: Why Fewer Options May Be Better

We study preferences over menus which can be represented as if the agent selects an alternative from a menu and experiences regret if her choice is ex post inferior. Since regret arises from comparisons between the alternative selected and the other available alternatives, our axioms reflect the agent's desire to limit her options. We prove that our representation is essentially unique. We also introduce two measures of comparative regret attitudes and relate them to our representation. Finally, we explore the formal connection between the present work and the literature on temptation.     

Weighted Distance Weighted Discrimination and Its Asymptotic Properties

While Distance Weighted Discrimination (DWD) is an appealing approach to classification in high dimensions, it was designed for balanced datasets. In the case of unequal costs, biased sampling, or unbalanced data, there are major improvements available, using appropriately weighted versions of DWD (wDWD). A major contribution of this paper is the development of optimal weighting schemes for various nonstandard classification problems. In addition, we discuss several alternative criteria and propose an adaptive weighting scheme (awDWD) and demonstrate its advantages over nonadaptive weighting schemes under some situations. The second major contribution is a theoretical study of weighted DWD. Both high-dimensional low sample-size asymptotics and Fisher consistency of DWD are studied. The performance of weighted DWD is evaluated using simulated examples and two real data examples. The theoretical results are also confirmed by simulations.     

Forecasting Economic Time Series With Structural and Box-Jenkins Models: A Case Study

The basic structural model is a univariate time series model consisting of a slowly changing trend component, a slowly changing seasonal component, and a random irregular component. It is part of a class of models that have a number of advantages over the seasonal ARIMA models adopted by Box and Jenkins (1976). This article reports the results of an exercise in which the basic structural model was estimated for six U.K. macroeconomic time series and the forecasting performance compared with that of ARIMA models previously fitted by Prothero and Wallis (1976).     

Supervising family therapy trainees in primary care medical settings: context matters

The purpose of this article is to identify and describe four essential skills for effective supervision of family therapy trainees in primary care medical settings. The supervision skills described include: (1) Understand medical culture; (2) Locate the trainee in the treatment system; (3) Investigate the biological/health issues; and (4) Be attentive to the self-of-the-therapist. Recommendations are also made to help supervisors become better prepared for the questions medical family therapy trainees bring to supervision.     

Adding insult to injury: development and initial validation of the Partner-Directed Insults Scale

Women who are verbally abused by their intimate male partners suffer serious mental health consequences and often experience physical violence in their relationship. Despite the importance of studying verbal abuse, no previous research has investigated the specific content of the insults men use to derogate their partners. We present the development and initial validation of a new measure designed to assess the specific content of insults used by men against their intimate partners. In a preliminary study, we used feedback from battered women, along with a review of the relevant literature, to identify specific insults for inclusion in the Partner-Directed Insults Scale (PDIS). We administered the PDIS to a sample of United States participants (Study 1) and a sample of New Zealand participants (Study 2), allowing for a cross-national investigation of the specific insults that men use to derogate their partners. The results demonstrate the practical need for such a scale and provide evidence for the discriminant validity of the PDIS by documenting that men's use of insults predicts their use of controlling behaviors and physical violence.     

Fixed-parameter tractability of anonymizing data by suppressing entries

A popular model for protecting privacy when person-specific data is released is k -anonymity. A dataset is k-anonymous if each record is identical to at least (k−1) other records in the dataset. The basic k-anonymization problem, which minimizes the number of dataset entries that must be suppressed to achieve k-anonymity, is NP-hard and hence not solvable both quickly and optimally in general. We apply parameterized complexity analysis to explore algorithmic options for restricted versions of this problem that occur in practice. We present the first fixed-parameter algorithms for this problem and identify key techniques that can be applied to this and other k-anonymization problems.     

Common threads between sample size recalculation and group sequential procedures

Sample size recalculation (SSR) methods ensure that a study closely achieves the required power by allowing for the original sample size to be modified through updating misspecified nuisance parameters. Some SSR procedures extend this concept by incorporating information on the estimated treatment difference as well. While group sequential methodology allows for early stopping of a study in the context of repeated hypothesis tests, SSR usually involves the extension of a study to accommodate misspecified design parameters. This work describes these methods and places them in a common framework. Copyright © 2003 John Wiley & Sons, Ltd.