„Public Sociologies“

Ohne Zusammenfassung     

A Likelihood Based Estimating Equation for the Clayton–Oakes Model with Marginal Proportional Hazards

Multivariate failure time data arise when data consist of clusters in which the failure times may be dependent. A popular approach to such data is the marginal proportional hazards model with estimation under the working independence assumption. In this paper, we consider the Clayton–Oakes model with marginal proportional hazards and use the full model structure to improve on efficiency compared with the independence analysis. We derive a likelihood based estimating equation for the regression parameters as well as for the correlation parameter of the model. We give the large sample properties of the estimators arising from this estimating equation. Finally, we investigate the small sample properties of the estimators through Monte Carlo simulations.     

Careers and productivity in an internal labor market

This paper contributes to the existing literature by evaluating the effects of age and tenure on careers and productivity within an internal labor market. We use the administrative personnel records of a long balanced panel of blue-collar workers from a manufacturing firm in Germany with a distinct classification of wage groups and unique information on workers’ productivity in form of suggestions for productivity improvement. Using robust locally weighted regression, our main findings suggest that the probability of promotion is highest for younger workers and early in the career. Older workers are less likely to be promoted. The likelihood of making a rewarded suggestion is inversely u-shaped with respect to tenure and age. Furthermore, workers’ ability and firm-specific human capital determine the workers’ careers and productivity.     

Strategic sustainability and financial performance: exploring abnormal returns

The ongoing empirical debate about whether SRI is associated, if anything, with subpar or surpassing financial performance is characterized by a somewhat indistinct focus and the infeasibility of tapping the full potential of existing models. By indistinct focus, we mean an analysis based on an aggregation of a myriad of SRI factors that potentially affect a firm’s financial performance. The inability of taking full advantage of existing models is reflected by the fact that studies with European data have not been able to comprehensively account for systematic risk tilts. This paper presents a portfolio analysis that overcomes these issues by analyzing a distinct selection of small and innovative firms. We argue that both their strategic implementation of Corporate Social Responsibility and the general growth in socially responsible investments (SRI) lend themselves to an explanation for positive abnormal returns of this portfolio. We account for the idiosyncratic investment style of SRI by introducing a comprehensive pan-European risk-adjusted portfolio analysis based on the Carhart four-factor model. A novel propensity score matching method in conjunction with the estimation of structural models completes the conventional robustness checks in the literature.     

Resolution of Godambe's paradox

Two versions of a statistical paradox involving an ancillarity principle have recently been proposed by Godambe (1979, 1982). In this note, we point out that the two versions of his paradox are actually quite different, and we resolve both of them by investigating their relationship to randomization. The first version of Godambe's paradox was criticized earlier by Good (1980), but we believe his argument to be flawed.     

An evaluability assessment of a West Africa based Non-Governmental Organization's (NGO) progressive evaluation strategy

While program evaluations are increasingly valued by international organizations to inform practices and public policies, actual evaluation use (EU) in such contexts is inconsistent. Moreover, empirical literature on EU in the context of humanitarian Non-Governmental Organizations (NGOs) is very limited. The current article focuses on the evaluability assessment (EA) of a West-Africa based humanitarian NGO's progressive evaluation strategy. Since 2007, the NGO has established an evaluation strategy to inform its maternal and child health care user-fee exemption intervention. Using Wholey's (2004) framework, the current EA enabled us to clarify with the NGO's evaluation partners the intent of their evaluation strategy and to design its program logic model. The EA ascertained the plausibility of the evaluation strategy's objectives, the accessibility of relevant data, and the utility for intended users of evaluating both the evaluation strategy and the conditions that foster EU. Hence, key evaluability conditions for an EU study were assured. This article provides an example of EA procedures when such guidance is scant in the literature. It also offers an opportunity to analyze critically the use of EAs in the context of a humanitarian NGO's collaboration with evaluators and political actors.     

The effects of family therapies for adolescent delinquency and substance abuse: a meta-analysis

This meta-analysis summarizes results from k = 24 studies comparing either Brief Strategic Family Therapy, Functional Family Therapy, Multidimensional Family Therapy, or Multisystemic Therapy to either treatment-as-usual, an alternative therapy, or a control group in the treatment of adolescent substance abuse and delinquency. Additionally, the authors reviewed and applied three advanced meta-analysis methods including influence analysis, multivariate meta-analysis, and publication bias analyses. The results suggested that as a group the four family therapies had statistically significant, but modest effects as compared to treatment-as-usual (d = 0.21; k = 11) and as compared to alternative therapies (d = 0.26; k = 11). The effect of family therapy compared to control was larger (d = 0.70; k = 4) but was not statistically significant probably because of low power. There was insufficient evidence to determine whether the various models differed in their effectiveness relative to each other. Influence analyses suggested that three studies had a large effect on aggregate effect sizes and heterogeneity statistics. Moderator and multivariate analyses were largely underpowered but will be useful as this literature grows.     

Field study of age-differentiated strain for assembly line workers in the automotive industry

A field study in an automotive supply industry company was conducted to explore age-differentiated strain of assembly line workers. Subjective and objective data from 23 female workers aged between 27 and 57 years were collected at the workplace belt buckle assembly during morning shifts. Subjects with medication or chronic diseases affecting heart rate and breath rate were excluded. For subjective data generation different questionnaires were used. Before the Work Ability Index and the Munich Chronotype Questionnaire were completed by the subjects. Short questionnaires (strain-ratings, NASA-TLX) directly at begin and end of the work were used for obtaining shift-related data. During the whole shift (6 a.m. - 2.45 p.m.) bodily functions were logged with a wireless chest strap. In addition, the motion of the hand-arm-system was recorded for 30 times, 3 minutes each after a fixed time-schedule. First results show that younger subjects need significant less time for assembly (mean = 14.940 s) compared to older subjects (mean = 17.040 s; t(472.026) = -9.278 , p < 0.01).