Immigration Attitudes Before and After Tragedy in Copenhagen: The Importance of Political Affiliation and Safety Concerns

This research analyzes attitudes on immigration before and after the February 14–15, 2015 Copenhagen shootings. Little research has been conducted on changes in immigration beliefs pre‐ and postcrisis events, and, further, this research has not closely considered how political views and safety concerns may operate within immigration beliefs in an additive, interactive, or mediating fashion. Using the 2014 and 2015 Copenhagen Area Surveys, the latter conducted shortly after the February shootings, our findings show that taking the survey either before or after the shootings did not shape immigration policy preferences. Instead, the findings reveal that right‐leaning political affiliation and a greater fear of crime are the strongest predictors of anti‐immigration attitudes. Implications center on new approaches to understanding societal responses to crisis events.     

Price Effects of the Minimum Wage: A Survey Data Analysis for the German Construction Sector

Utilizing the link between employment and price changes as a result of minimum wages, we use firm‐level data to evaluate the effect of minimum wage introduction in the German construction sector. In East Germany we find significant positive price effects that exclude the possibility of rising employment. Rather, the results indicate the existence of a competitive sector‐specific labour market, and thus declining employment. In contrast, we cannot find any significant price reaction for West Germany. This suggests that the implemented minimum wage in West Germany is too low in comparison to the predominantly paid wages and is hence not binding.     

The price-setting newsvendor with service and loss constraints

Current performance measurement systems consider not only financial measures, like costs and profits, but also non-financial indicators with respect to customer service, quality and flexibility. Using the newsvendor model, we analyse the respective influence of these possibly conflicting performance measures on important operations and marketing decisions, for instance the order quantity and the selling price of a product. As in the classical newsvendor model for price-independent as well as price-dependent demand distribution, the objective of the firm is to maximise expected profit. In this paper, we also consider a service constraint—a lower bound for the level of product availability—and a loss constraint—an upper bound for the probability of a loss occurring. For both models, we provide conditions for the existence of solutions. We then analyse the influence of demand variability using a set of conditions specifying the quantiles of the predetermined performance measures: a higher variability of demand implies a smaller admissible region of the decision variables. In the price-independent case, the optimal solution has a control-limit structure: the optimal order quantity is thus given either by the classical newsvendor solution or by the control-limits corresponding to the constraints. In the price-setting model with multiplicative demand, this structure is used to check whether small admissible prices are determined by the service constraint or by the loss constraint. Using these structural results, a procedure is developed to more easily enable the computation of the optimal values of the order quantity, selling price and expected profit.     

Examining the effects of negative affectivity on self- and supervisor ratings of job stressors: the role of stressor observability

In this study, we investigated job stressor ratings through Lazarus' transactional stress theory and the usefulness of supervisor ratings as an alternative to employee self-reports. Based on the finding that negative affectivity (NA) causes incumbents to over-report job stressors, we hypothesized that supervisors may also be affected by their NA when appraising an incumbent's job stressors. Building upon the literatures on judgement processes and social-cognitive information processing, we further hypothesized that stressor observability is an important boundary condition. Specifically, we hypothesized that the impact of NA on both self- and supervisor-reported job stressors should increase as stressor observability decreases. Moreover, we hypothesized that incumbent and supervisor ratings would converge less as stressor observability decreases. Data from 260 incumbent-supervisor dyads showed that stressor observability reduced the impact of supervisor NA on supervisor ratings (but not the impact of incumbent NA on incumbent stressor ratings). Further, as hypothesized, incumbent and supervisor ratings showed less convergence the less observable the stressor was. The results highlight the importance of personal and situational factors in the stressor appraisal process – an issue that advances both research and practice in the field of stressor ratings.     

Online-Befragungen im Kontext von Lehrevaluationen – praktisch und unzuverlässig

Online-surveys enjoy increasing popularity and they seem to be especially suited for evaluating the quality of teaching in academic courses. The fact remains, however, that the reliability of their results has hardly been tested. Compared to the results of a written questionnaire carried out with the same university-courses online-surveys demonstrate grave deficiencies. These imperfections render their results useless: 1. Students’ participation in the onlinequestioning is—compared to their participation in the written questionnaire—considerably lower (in several courses too low to be of any analytical use). 2. In the case of all courses and analysed questions the results diverge from those of the written questionnaire which achieved census-quality. Rankings based on these two proceedings differ widely. This occurs regardless of them being set up in individual lists or in groupings. 3. There are clear indications that the way respondents answer online-questionnaires is less reliable than in paper&pencil methods. Although online-surveys benefit by being cost-efficient their methodological shortcomings raise important questions about their reliability for judging the quality of academic teaching.     

Welfare and capital-theoretic foundations of corporate social responsibility and corporate sustainability

Corporate social responsibility (CSR) and corporate sustainability (CS) are variously defined in the literature. Providing formal definitions for the two concepts, we show in this article that CS and CSR are distinct but interrelated concepts that can be usefully formalized with capital-theoretic and welfare economic approaches. CSR can particularly constitute a strategy to cope with externalities and serve as insurance against reputational risks that harm profit prospects and corporate value. Moreover, we present a formal approach for integrating the societal perspective of sustainable development with the corporate perspective of CSR and CS. This approach is complementary to a company's internal CSR and CS evaluation.     

On the relation between impulses to help and causes of neediness: An experimental study

A novel two-person “charity game”, related to the “Samaritan’s Dilemma” [Buchanan, J.M., 1975. The samaritan’s dilemma. In: Phelps, E.S. (Ed.), Altruism, Morality and Economic Theory. Russel Sage Foundation, New York, pp. 71–85], is used to experimentally investigate the relation between helpers’ behavior and poor recipients’ reaction to aid. We distinguish two treatments differing in whether the causes of neediness are verifiable or not. Helping behavior does not vary significantly between treatments, but is positively correlated with dictator giving, suggesting idiosyncratic attitudes to help. Needy subjects are unaffected by anticipated help, but react optimally to chance.     

Trust in triads: An experimental study

Pairs of trustors play finitely repeated Trust Games with the same trustee in a laboratory experiment. We study trustfulness of the trustor and trustworthiness of the trustee. We distinguish between learning and control effects on behavior. Learning effects are related to the trustor's information on past behavior of the trustee. Control effects are related to the trustor's opportunities for sanctioning a trustee in future interactions. Hypotheses on learning and control effects are derived from backward-looking learning models and from forward-looking models of strategic behavior. The design of the experiment, with respect to trustfulness, allows for disentangling learning effects from a trustor's own experience with the trustee and learning effects through third-party information. Also, the design enables disentangling control effects on trustworthiness and trustfulness through a trustor's own sanction opportunities and opportunities for third-party sanctions. We find evidence for learning and control effects. The trustor's own experiences, the experiences of the other trustor, as well as the trustor's own sanction opportunities affect trustfulness. We find evidence for control effects on trustworthiness, including effects arising from opportunities for third-party sanctions. However, there is no evidence for control effects through opportunities for third-party sanctions on trustfulness. This could indicate limited strategic rationality of trustors.     

Wavelet shrinkage for unequally spaced data

Wavelet shrinkage (WaveShrink) is a relatively new technique for nonparametric function estimation that has been shown to have asymptotic near-optimality properties over a wide class of functions. As originally formulated by Donoho and Johnstone, WaveShrink assumes equally spaced data. Because so many statistical applications (e.g., scatterplot smoothing) naturally involve unequally spaced data, we investigate in this paper how WaveShrink can be adapted to handle such data. Focusing on the Haar wavelet, we propose four approaches that extend the Haar wavelet transform to the unequally spaced case. Each approach is formulated in terms of continuous wavelet basis functions applied to a piecewise constant interpolation of the observed data, and each approach leads to wavelet coefficients that can be computed via a matrix transform of the original data. For each approach, we propose a practical way of adapting WaveShrink. We compare the four approaches in a Monte Carlo study and find them to be quite comparable in performance. The computationally simplest approach (isometric wavelets) has an appealing justification in terms of a weighted mean square error criterion and readily generalizes to wavelets of higher order than the Haar.     

Durable‐Goods Monopoly with Privately Known Impatience: A Theoretical and Experimental Study

We analyze a durable‐goods monopoly selling a single unit of a good to a buyer whose value of the good is private information. The discount factors of the buyer and the seller may differ and are also privately known. We derive the closed‐form solution of a two‐period game and compare it to the behavior observed in experiments. The data are to a large extent consistent with the predictions.