The justice of earnings in dual-earner households

Over recent decades, the rise in female labor market participation and the increase in “atypical” employment arrangements have brought about a steady decline in traditional “male breadwinner” households and an increasing number of dual-earner households. Against this backdrop, the present paper investigates how different household contexts—ranging from traditional “male breadwinner” households to those challenging this model through joint contributions to household income—affect household members’ subjective evaluations of the justice of their personal income. In the first step, we derive three criteria used by individuals to evaluate the justice of personal earnings: compensation for services rendered, coverage of basic needs, and the opportunity to earn social approval. In the second step, we apply considerations from household economics and new approaches from gender research to explain why men's and women's evaluations of justice are determined to a considerable degree by the specific situation within their household. The assumptions derived regarding gender-specific patterns in justice attitudes are then tested on longitudinal data from the German Socio-Economic Panel Study (SOEP). The results support our central thesis that dual-earner households both reinforce and undermine gender-specific patterns in the evaluation of personal earnings. These patterns are undermined because women in dual-income households tend to have higher income expectations that challenge the existing gender wage gap. At the same time, gender-specific patterns are reinforced because men evaluate the justice of their personal income in relation to their ability to fulfill traditional gender norms.     

Public Sector Reform in Denmark: Organizational Transformation and Evaluation

Public sector reform in Denmark has not been studied extensively, despite the country's tireless reorganization efforts and track record of trying new ideas. This article thus seeks to fill a gap in the literature. It does this by examining the reorganization of the public sector in terms of the transformation of organizations, and by assessing how successive governments have evaluated the initiatives taken with the aim of knowing whether or not reorganization has worked. The discussion shows that reorganization has been incremental and pragmatic, and that governments have rarely evaluated their reorganization efforts in any systematic way. One of the primary reasons for this has been the desire of politicians and top civil servants to have political and administrative flexibility and freedom to seize on strategic opportunities, unconstrained by the findings of detailed evaluations.     

Delegation and Wage Determination in Trade Unions

Delegation of wage determination is modelled as the transferral of decision‐making rights to better‐informed agents. The rank and file of trade unions has less information and can, therefore, benefit from delegation. However, delegation might be disadvantageous for union members, since delegates pursue their own objectives. Also, delegates might incur a utility reduction, since becoming a delegate implies forfeiting a better‐paid outside option. We investigate under what conditions delegation of wage bargaining power is beneficial for union members and their potential leaders. The wage and employment effects of delegation are derived.     

Testing for the Cointegrating Rank of a VAR Process with Level Shift at Unknown Time

A systems cointegration rank test is proposed that is applicable for vector autoregressive (VAR) processes with a structural shift at unknown time. The structural shift is modeled as a simple shift in the level of the process. It is proposed to estimate the break date first on the basis of a full unrestricted VAR model. Two alternative estimators are considered and their asymptotic properties are derived. In the next step the deterministic part of the process including the shift size is estimated and the series are adjusted by subtracting the estimated deterministic part. A Johansen type test for the cointegrating rank is applied to the adjusted series. The test statistic is shown to have a well‐known asymptotic null distribution that does not depend on the break date. The performance of the procedure in small samples is investigated by simulations.     

Reasonable sample sizes for convergence to normality

The central limit theorem says that, provided an estimator fulfills certain weak conditions, then, for reasonable sample sizes, the sampling distribution of the estimator converges to normality. We propose a procedure to find out what a “reasonably large sample size” is. The procedure is based on the properties of Gini's mean difference decomposition. We show the results of implementations of the procedure from simulated datasets and data from the German Socio-economic Panel.     

Leveraging global sources of knowledge for business model innovation

This article explores the concept of leveraging global knowledge for business model innovation, whereby knowledge is transferred across space and firm boundaries for the reconfiguration of an incumbent firm's business model. Considering the implications of an ever-increasing fragmentation of global value chains and the associated dispersion of global knowledge sources, we propose that supply chain partners at foreign locations can provide valuable knowledge that incumbents can leverage to change their business model. Integrating insights from global supply chain, business model, and organizational learning literature, we theorize and empirically test how different organizational capabilities enable firms to acquire knowledge from foreign partners, integrate external with internal knowledge, transform knowledge through experimentation, and finally apply global knowledge in the form of business model innovation. We conclude with suggestions for future research.     

Space-time short- to medium-term wind speed forecasting

Accurate wind power forecasts depend on reliable wind speed forecasts. Numerical weather predictions utilize huge amounts of computing time, but still have rather low spatial and temporal resolution. However, stochastic wind speed forecasts perform well in rather high temporal resolution settings. They consume comparably little computing resources and return reliable forecasts, if forecasting horizons are not too long. In the recent literature, spatial interdependence is increasingly taken into consideration. In this paper we propose a new and quite flexible multivariate model that accounts for neighbouring weather stations’ information and as such, exploits spatial data at a high resolution. The model is applied to forecasting horizons of up to 1 day and is capable of handling a high resolution temporal structure. We use a periodic vector autoregressive model with seasonal lags to account for the interaction of the explanatory variables. Periodicity is considered and is modelled by cubic B-splines. Due to the model’s flexibility, the number of explanatory variables becomes huge. Therefore, we utilize time-saving shrinkage methods like lasso and elastic net for estimation. Particularly, a relatively newly developed iteratively re-weighted lasso and elastic net is applied that also incorporates heteroscedasticity. We compare our model to several benchmarks. The out-of-sample forecasting results show that the exploitation of spatial information increases the forecasting accuracy tremendously, in comparison to models in use so far.     

Ethische Kompetenz

From the author??s point of view, the term ??Ethical Competence?? is often used rather vaguely in the field. In a qualitative study of bank managers, preliminary definitions of ??Ethical Competence?? are related to the ??Theory of Planned Behavior?? (Fishbein and Ajzen). This enables the authors to analyze ??Ethical Competence?? more precisely??taking the concept of ??Moral Obligation?? (Kurland) into consideration as well. Factors such as behavioral beliefs (attitude towards the behavior), normative beliefs (subjective norms) and control beliefs (perceived behavioral control) are seen as significant in behavior in morally relevant situations. In addition, the authors formulate a hypothesis concerning the correlation of Ethical Competence and job satisfaction.