Die falschen Angriffe auf das Ehegattensplitting

These articles debate the pros and cons of the full income-splitting tax procedure. Ernst Niemeier defends this taxation scheme, because in his opinion it is not aimed at furthering families or children but making sure that a couple does not have to pay more taxes than two singles. He argues that there are constitutional reasons to treat equal incomes equally, which he refers to as “horizontal justice”. Furthermore, he rejects evidence of a negative labour supply effect on the second earner. A team of authors at the DIW find his argumentation not at all convincing. First, they say, determining tax justice or ability to pay is ultimately a political question and cannot be determined by scientists or the courts. Thus, a constitutional determination of marriage taxation on the existing full income-splitting procedure is excessive. Second, the empirical evidence of negative labour supply effects of full income splitting for the second earner can simply not be denied. Niemeier argues why such supply effects cannot exist.     

The Interplay of Project Control and Interorganizational Learning: Mitigating Effects on Cultural Differences in Global,Multisource ISD Outsourcing Projects

Research into global, multisource, information systems development outsourcing projects has uncovered management challenges, including cultural differences on multiple levels. While control mechanisms and interorganizational learning have been shown to contribute to the mitigation of cultural differences in such projects, a gap persists regarding the effect of the interplay between these mechanisms. This study employs an exploratory single-case study design to analyze how formal and informal control mechanisms and interorganizational learning interact and thus contribute to the mitigation of cultural differences in global, multisource, information systems development outsourcing projects. With the key finding that the influence of informal controls and interorganizational learning on formal controls changes over time, this research helps expand the domain of control dynamics in global IS projects. This study also contributes to literature on ways to handle cultural differences in global, multisource, IS outsourcing projects.     

Conservative Developmental Statism in East Central Europe and Russia

ABSTRACT

Russia, Hungary and Poland have been at the forefront of the illiberal counter-movement to neoliberalism. However, while there is increasing knowledge about how ‘populism’ as a discursive strategy has brought illiberals to power, especially in Poland and Hungary, we know surprisingly little about the socioeconomic programme and guiding principles of illiberals. In this article, we argue first that there is such a programme and that – notwithstanding the differences between countries – it features a similar programmatic core in the three countries that took shape in conservative think tanks and guides socioeconomic policy recommendations. Second, this programmatic core is best understood not so much as populism, but as a combination of economic nationalism – subordinating the economy to national interests and to the imperative of protecting national identity – and conservatism, reorienting economic policies to serve the traditional family and undo the perceived wrongdoings of post-communist elites, in particular, privatisation. We call this core conservative developmental statism. Thus illiberalism is reducible neither to populism nor to the whims of the power-holders of the day, and in these countries it needs to be seen in a wider context in which rightwing intellectuals have been working in parallel with politicians to give illiberalism a conservative content.     

The Improbability of Fraud in Accounting for Derivatives: A Case Study on the Boundaries of Financial Reporting Compliance

ABSTRACT

This study responds to recent calls in the literature to examine fraud using detailed case studies, extending knowledge beyond individual incentives and capital market reactions towards a more contextualized understanding of the concept. We use an institutional logics perspective to challenge existing assumptions about a universally valid meaning of compliance, fraud, and faithful representation. Presenting the case of the Swedish bank HQ, we show how the interpretation of the accounting standard for option measurement varies across different enforcement bodies because the meaning of compliance is socially negotiated across the institutional logics of markets, financial regulation, and law. The independent decision-making of the different enforcement bodies leads to a systematic variation in the interpretation of principles-based accounting standards without ultimate coordination. To define consistent boundaries of compliance across institutional logics, and thus, to distinguish between fraud and allowable managerial discretion becomes problematic. Faithful representation, in turn, cannot be understood as financial statements reflecting a correct value or as financial statements being prepared in accordance with acceptable practice, as suggested in the earlier literature. Instead, faithful representation itself becomes a contextually bound concept, which can only be defined within an institutional logic.     

Comparing automated text classification methods

Online social media drive the growth of unstructured text data. Many marketing applications require structuring this data at scales non-accessible to human coding, e.g., to detect communication shifts in sentiment or other researcher-defined content categories. Several methods have been proposed to automatically classify unstructured text. This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets covering major social media platforms, various sample sizes, and languages. So far, marketing research relies predominantly on support vector machines (SVM) and Linguistic Inquiry and Word Count (LIWC). Across all tasks we study, either random forest (RF) or naive Bayes (NB) performs best in terms of correctly uncovering human intuition. In particular, RF exhibits consistently high performance for three-class sentiment, NB for small samples sizes. SVM never outperform the remaining methods. All lexicon-based approaches, LIWC in particular, perform poorly compared with machine learning. In some applications, accuracies only slightly exceed chance. Since additional considerations of text classification choice are also in favor of NB and RF, our results suggest that marketing research can benefit from considering these alternatives.     

Economic and financial crises and the predictability of U.S. stock returns

We argue that the use of publicly available and easily accessible information on economic and financial crises to detect structural breaks in the link between stock returns and macroeconomic predictor variables improves the performance of simple trading rules in real time. In particular, our results suggest that accounting for structural breaks and regime shifts in forecasting regressions caused by economic and financial crises has the potential to increase the out-of-sample predictability of stock returns, the performance of simple trading rules, and the market-timing ability of an investor trading in the U.S. stock market.     

Mobility of Top Incomes in Germany

I analyze German top income mobility using micro‐level panel data of personal income tax returns which are highly representative for top income taxpayers for the years 2001–06. Top income mobility is assessed in three dimensions: (i) persistence in top income fractiles and its stability over time, (ii) measures of individual mobility that are not dependent on the fractile size: the degree of mobility between equally sized groups and mobility in ranks, and (iii) mobility's impact on top income shares. Persistence in top income fractiles is comparatively high and fairly stable across the analyzed period. Top income recipients are less prone to downward mobility and see less variation in annual ranks than less rich tax units. Mobility's impact on income concentration is moderate. The top percentile's share is reduced by roughly 5 percent over six years.     

Swine flu and hype: a systematic review of media dramatization of the H1N1 influenza pandemic

Highly disconcerting at the time, in retrospective, the 2009 H1N1 influenza pandemic looks like much ado about nothing. As a consequence, many accused the media of having created an artificial hype or hysteria around the new virus, thus contributing to unwarranted public fear. The current paper set out to examine the validity of such accusations. We integrated empirical findings on whether the media dramatized H1N1 on a global scale through systematically reviewing prior content-analytic studies. We developed a coding scheme specifying three indicators of dramatized media coverage that – together – inform about how mass media coverage about H1N1 may amplify risk perceptions in the public: (a) the volume of media coverage, (b) the media content presented, particularly an overemphasis of threat while neglecting measures of self-protection and (c) the tone of coverage. Results show that media attention was immense, that news content stressed threat over precautionary measures, while the pattern of coverage tonality remained nebulous due to conflicting findings. The present review also revealed a critical gap in existing knowledge about the tone of media coverage on H1N1, and discusses implications for future research on dramatization of public health risks by the media.     

Nature Imagery in Non-Green Advertising: The Effects of Emotion,Autobiographical Memory,and Consumer's Green Traits

Images of pristine nature constitute frequent elements of visual advertising design. Research on the effectiveness of such imagery has been scarce, however. Which psychological processes are involved? Do all individuals react equally to nature advertising imagery? Based on environmental psychology theory, the present research analyzes the effectiveness of the use of nature imagery in non-green advertising and the underlying processes involved. We conduct three experimental studies, two with student samples and one with a representative population sample, to test the effects of visual advertising stimuli featuring nature versus urban and indoor scenery. Findings contribute to research in two ways: First, emotional ad responses that are similar to the feelings experienced in nature as well as the retrieval of positive autobiographical memories are identified as intervening processes by which nature advertising imagery increases attitude toward the ad (Aad) and brand (Abr). Second, results indicate these processes are moderated by consumers’ green traits, with green consumers being more susceptible to the persuasive effects of nature advertising imagery even though advertisements were non-green. The processes are further moderated by the accessibility of memory of past nature experiences. These findings enrich our knowledge on the effects of specific visual appeals and provide practical implications for visual advertising effectiveness.