Die Erhebung personenbezogener Gesundheitsdaten bei Dritten

The recently introduced § 213 VVG is linked to an interesting history and regulates an issues that had been discussed in the insurance industry for some time. In its application § 213 VVG is more particular than regulations by the German data protection act, at least concerning the collection of health data. For the processing and usage of data the regulations of the German data protection act still apply. Time will show whether § 213 VVG will lead to a reconciliation of interests of the insured with those of the insurer. The aforementioned two-week-period for the data survey might be a contribution to achieve this goal.     

Screening: Value enhancing or diminishing?

Using an international sample of environmental and social firm-level ratings between 2007 and 2019, we form synthetic overlapping region-based equity portfolios to examine the impact of screening stringency on abnormal returns and specific risk. While previous literature analyzes this relationship in a bidimensional setting, inferences made in this study are additionally robust to regional levels of market efficiency. Our results suggest that (1) screening stringency displays an inverted curvilinear relationship with risk-adjusted returns and (2) the impact on specific risk is strictly increasing. Thus, portfolios that employ marginal and substantial screening incur the cost of responsible investing. However, moderate screening has the benefit of increasing performance without the burden of financing the least responsible corporations.     

Gender differences in recollections of economic socialization,financial self-efficacy,and financial literacy

The OECD/INFE international surveys of adult financial literacy (OECD/INFE 2016, 2020) show gender differences in financial literacy in developed countries in Europe. In this study, we examine whether these differences can be explained by gender differences in parental economic socialization using the Dutch 2018 DHS household survey. We investigate whether respondents' recollection of economic socialization when young predict their adult economic behavior and self-assessed financial knowledge. The results from ordinal logit and logistic regressions and for nonlinear equations decompositions reveal gender differences in the recollection of economic socialization and in how socialization practices are related to economic behavior and self-assessed financial knowledge. Men have to a greater degree than women been socialized in terms of having paid work outside the home, while women more often than men report that their parents controlled their spending. Moreover, we find gender differences in how men and women benefitted from the same socialization practices.     

Entrepreneurial ecosystem for cooperatives: The case of Kyrgyz agricultural cooperatives

The article discusses the development of agricultural cooperatives in Kyrgyzstan from an entrepreneurial ecosystem (EE) perspective. Agricultural development priorities explain cooperatives’ importance in Kyrgyz government's policies, but cooperatives still fail at countering the challenges of the smallholder economy. Considering agricultural cooperatives as a form of rural entrepreneurship, this paper aims to contribute to the discussion of the factors that support cooperatives in developing countries adapting the EE framework to cooperative entrepreneurship. Using a content analysis method, we analysed and coded textual data from documentary and archival publications on the agricultural cooperatives in Kyrgyzstan published by the government, cooperatives and their unions and the reports of international organizations. We identify five main dimensions of the cooperative entrepreneurial ecosystem for cooperatives: (1) policy and regulatory framework; (2) education and skills; (3) market environment; (4) culture; (5) networks. We found that even if the overall structure of cooperatives’ EE can be comparable to conventional enterprises, its sub-elements significantly differ for cooperative enterprises. Despite its exploratory character and single-case research design, this article contributes to the theoretical discussion on cooperative entrepreneurial ecosystems in post-socialist developing contexts and offers a framework of analysis for cooperative development policies and practices.     

Modeling time-varying higher-order conditional moments: A survey

Since the introduction of the Autoregressive Conditional Heteroscedasticity (ARCH) model, the literature on modeling the time-varying second-order conditional moment has become increasingly popular in the last four decades. Its popularity is partly due to its success in capturing volatility in financial time series, which is useful for modeling and predicting risk for financial assets. A natural extension of this is to model time variation in higher-order conditional moments, such as the third and fourth moments, which are related to skewness and kurtosis (tail risk). This leads to an emerging literature on time-varying higher-order conditional moments in the last two decades. This paper outlines recent developments in modeling time-varying higher-order conditional moments in the economics and finance literature. Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) framework as a foundation, this paper provides an overview of the two most common approaches for modeling time-varying higher-order conditional moments: autoregressive conditional density (ARCD) and autoregressive conditional moment (ARCM). The discussion covers both the theoretical and empirical aspects of the literature. This includes the identification of the associated skewness–kurtosis domain by using the solutions to the classical moment problems, the structural and statistical properties of the models used to model the higher-order conditional moments and the computational challenges in estimating these models. We also advocate the use of a maximum entropy density (MED) as an alternative method, which circumvents some of the issues prevalent in these common approaches.     

Digital touch in sponsorship: Getting closer to the brand through virtual reality

Supporters are consuming more and more sporting events through digital platforms. Brands should adapt to these new consumption patterns in order to strengthen their connection with their customers. Today, researchers and practitioners can create more interactive and enjoyable experiences through virtual reality (VR) applications. Through two studies conducted on VR during sporting events, we show that mentally representing the touch experiences of players on the field reduces the psychological distance between the supporter and the player, which strengthens the supporter's attachment to the team and, through the same attachment, to the sponsor (Study 1). We also highlight that these positive effects of VR compared to real touch (using a player's jersey) is linked to the improvement of immersion, which stimulates touch imagery (Study 2). We discuss the implications of this research for theory and practice in the sports business and other sectors.