Some considerations concerning the functional form of earnings

The problem of choosing the correct functional form of earnings has plagued studies of social inequality and labor market segmentation. Although this choice has often been made on superficial grounds, the results presented in the current paper demonstrate that this choice has very significant implications for the empirical findings that emerge from the study of earnings determination. Four functional forms of earnings are compared: dollar earnings, earnings rank based on social perceptions as calibrated by P. Coleman and L. Rainwater (1978, Social Standing in America, Basic Books, New York) the natural logarithm of earnings, and the best-fitting power function transformation of earnings as estimated by the Box-Cox technique. Evaluation of a generalized earnings determination model on a sample of private sector employees produces very similar results across these four functional forms of earnings. More divergent results are obtained when the models are compared across subsamples based on class, economic sector, and gender. Significant contrasts between earnings coefficients across groups are much more likely when utilizing log earnings or the Box-Cox power transformation than when using either dollar earnings or perceived earnings. In addition, the contrasts observed for log earnings and Box-Cox earnings are frequently in the opposite direction of those observed for dollar earnings or perceived earnings. The paper concludes with a discussion of the implications of these findings for theoretical developments in the study of social inequality and labor market segmentation.     

POWER, STATUS, AND ABUSE AT WORK: General and Sexual Harassment Compared

Workplace harassment can be devastating for employees and damaging for organizations. In this article, we expand the literature by identifying common and distinct processes related to general workplace harassment and workplace sexual harassment . Using both structural equation modeling and in-depth case immersion, we analyze content-coded data from the full population of workplace ethnographies—ethnographies that provide in-depth information on the nature and causes of both general and sexual harassment that would otherwise be difficult to gather. Importantly, both forms of harassment emerge in settings characterized by physically demanding work and minority work groups. In such contexts, both general and sexual harassment enforce formal and informal status hierarchies and social exclusion. Grievance mechanisms and "team models" of workplace organization reduce sexual harassment but have no effect on general harassment. We conclude with a discussion of theoretical, legal, and policy implications for identifying and remedying harassment as a widespread and devastating form of inequality and social exclusion in organizations.     

The Involvement of a Concerned Significant Other in Gambling Disorder Treatment Outcome

Interpersonal distress is a common feature in gambling disorder and adding a concerned significant other (CSO) to the recovery process could be an effective tool for improving treatment outcome. However, little empirical evidence is available regarding the effectiveness of including a CSO to interventions. We aimed to compare treatment outcomes (i.e. compliance with therapy guidelines, dropout from treatment, and relapse during treatment) in a CBT program involving a CSO to CBT treatment as usual (TAU) without a CSO. The sample comprised male gambling disorder patients (N = 675). The manualized CBT intervention consisted of 16 weekly outpatient group sessions and a 3-month follow-up period. Patient CSOs attended a predetermined number of sessions with the patient and were provided with resources to acquire a better understanding of the disorder, to manage risk situations, and to aid patients in adhering to treatment guidelines. Patients with a CSO had significant higher treatment attendance and reduced dropout compared to patients receiving TAU. Moreover, patients whose spouse was involved in the treatment program were less likely to relapse and adhered to the treatment guidelines more than those with a non-spousal CSO. Our results suggest that incorporating interpersonal support to gambling disorder interventions could potentially improve treatment outcomes.     

Is Pathological Gambling Moderated by Age?

The age of a patient is a strong moderator of both the course and the evolution of disorders/diseases. However, the effects of current age in pathological gambling (PG) have rarely been examined. The aim of this study is to explore the moderating effects of the patients’ current age in relation to personality traits and clinical outcomes of PG. A total sample of 2,309 treatment-seeking patients for PG, diagnosed according to DSM-IV criteria, participated in this study and were assessed with the Diagnostic Questionnaire for Pathological Gambling according to DSM-IV criteria, the South Oaks Gambling Screen, the Symptom Checklist, the Temperament and Character Inventory-R, and other clinical and psychopathological measures. Orthogonal polynomial contrasts showed linear trends in the relationship between age and PG: the older the patient, the more comorbid health problems were visible. The presence of additional quadratic trends also suggests that age plays a significant role in moderating the possibility of existing PG problems and general psychopathology. No interaction term was found between age and sex, but it was present for age and some personality traits: self-transcendence and reward dependence (these two traits were only relevant to the level of impairment due to PG at specific ages). This study suggests that the patients’ age influences psychopathological and clinical aspects associated to PG. Intervention in the earliest manifestations of this complex problem is essential in order to better address the need of successful treatment planning.     

How Prevalent Are Stable-Paretian Distributed Financial Variables?

Many studies have claimed that the stable-Paretian distribution should be used to model a wide variety of financial variables, ranging from stock and futures prices to exchange rates. Using a newly developed method, this study shows that the stable distribution is unsuitable for modeling most financial variables that are stable-distributed. We found that the distributions of a few accounting ratios may be stable. Our conclusions support a change in the future directions of financial-variable modeling.     

HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS

This paper proposes a class of surrogate constraint heuristics for obtaining approximate, near optimal solutions to integer programming problems. These heuristics are based on a simple framework that illuminates the character of several earlier heuristic proposals and provides a variety of new alternatives. The paper also proposes additional heuristics that can be used either to supplement the surrogate constraint procedures or to provide independent solution strategies. Preliminary computational results are reported for applying one of these alternatives to a class of nonlinear generalized set covering problems involving approximately 100 constraints and 300–500 integer variables. The solutions obtained by the tested procedure had objective function values twice as good as values obtained by standard approaches (e.g., reducing the best objective function values of other methods from 85 to 40 on the average. Total solution time for the tested procedure ranged from ten to twenty seconds on the CDC 6600.     

Large sample inference in random coefficient regression models

Random coefficient regression models have been used t odescribe repeated measures on members of a sample of n in dividuals . Previous researchers have proposed methods of estimating the mean parameters of such models. Their methods require that eachindividual be observed under the same settings of independent variablesor , lesss stringently , that the number of observations ,r , on each individual be the same. Under the latter restriction ,estimators of mean regression parameters exist which are consist ent as both r^→∞and n^→∞ and efficient as r^→∞, and large sample ( r large ) tests of mean parameters are available . These results are easily extended to the case where not a11 individuals are observed an equal number of times provided limit are taken as min(r) → ∞. Existing methods of inference , however, are not justified by the current literature when n is large and r is small, as is the case i n many bio-medical applications . The primary con tribution of the current paper is a derivation of the asymptotic properties of modifications of existing estimators as n alone tends to infinity, r fixed. From these properties it is shown that existing methods of inference, which are currently justified only when min(r) is large, are also justifiable when n is large and min(r) is small. A secondary contribution is the definition of a positive definite estimator of the covariance matrix for the random coefficients in these models. Use of this estimator avoids computational problems that can otherwise arise.     

Modeling and solution of practical management problems through netforms

This paper shows some useful schemes to graphically depict netform models of practical inventory problems. We begin with a simple inventory problem and then progress to more comprehensive representations of an inventory system by network and netform model techniques. Some text books mention that very basic inventory problems may be modeled as networks. But they usually offer very little instruction in the actual development of a network inventory model, and invariably conclude that network models can't accommodate the complications of the vast majority of realworld inventory problems. Further, they completely fail to convey the modeling power available to more general netform (network-related formulation) techniques. As text books catch up to the recent innovations now being applied in practical settings, this deficiency will change. Our purpose is to introduce the fundamental ideas and to provide an understanding of the possibilities inherent in these model innovations. We begin from first principles, so that no prior familiarity with network model representations is necessary to follow the exposition. Because of a heavy reliance on pictorial illustrations (another of the unique advantages of networks and netforms), we have also avoided the use of complex mathematical notation, and develop the key concepts by informal discussion.     

Timber,Minerals, and Social Change: An Exploratory Test of Two Resource-Dependent Communities1

Abstract There are few empirical tests of the relationship between local resource production and community social systems. This paper reports the results of research on two communities in northern Idaho: one timber-dependent, the other mining-dependent. Data were collected for 13 indicators of resource production and 15 indicators of social change for periods up to 65 years. Regression analysis was used to test if community social change is associated with the production level of local resource systems. The final models support the hypothesis in both communities. The form, lag condition, and strength of the relationship is complex and may vary with the dependent indicator. The original causal image—the rural community with a social order that directly responds to changes in local resource production—is blurred. Suggestions are made for future research.