An appraisal of the Vulamehlo Handcraft Project

The sale of Zulu handcrafts from the Spioenkop Nature Reserve curio shop was a project initiated by the KwaZulu-Natal Nature Conservation Service to improve the social and economic status of the women of a neighbouring community and thereby address the Neighbour Relations Policy of the organisation. This initiative was deemed viable by the women who all needed an additional income. Through collaboration, the project was implemented successfully in a way that gave the women access to resources within the reserve in order to make craft items which were then sold on their behalf. Responses to structured interviews with the women suggest that the project has addressed the social needs of the community by providing several non-tangible benefits. Although the economic benefits from craft item sales were minimal in terms of the average income per person, they were significant to the most committed project members and were deemed significant by all the women who now had disposable cash. The economic viability of the project could be improved by sourcing additional outlets for sales of craft items, and the women would be able to meet an increase in the demand for these items. The predicted increase in the flow of tourism in the uThukela region, together with improved marketing strategies, will provide opportunities for future local markets.     

Zielsetzungen und Instrumentarien der europäischen Verbraucherrechtspolitik: Eine Entgegnung zu dem Beitrag von Joerges

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Errata

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Comparative and qualitative robustness for law-invariant risk measures

When estimating the risk of a P&L from historical data or Monte Carlo simulation, the robustness of the estimate is important. We argue here that Hampel’s classical notion of qualitative robustness is not suitable for risk measurement, and we propose and analyze a refined notion of robustness that applies to tail-dependent law-invariant convex risk measures on Orlicz spaces. This concept captures the tradeoff between robustness and sensitivity and can be quantified by an index of qualitative robustness. By means of this index, we can compare various risk measures, such as distortion risk measures, in regard to their degree of robustness. Our analysis also yields results of independent interest such as continuity properties and consistency of estimators for risk measures, or a Skorohod representation theorem for ψ-weak convergence.     

Internal rent seeking,works councils,and optimal establishment size

Using a microeconomic model and data from the Establishment Panel of the German Institute for Employment Research, we analyze the optimal establishment size against the background of rent-seeking workers and the influence of works councils. The theoretical part shows that establishment size has not only a discouragement effect on the level of individual rent seeking but also a quantity effect as the number of rent seekers increases. The interplay of both effects – together with technological considerations – determines whether the employer chooses an inefficiently small or large establishment size. Introduction of a works council restores efficient establishment size although it is purely used as rent-seeking device. Whether the employer benefits from a works council or not depends on the degree of contract incompleteness and the degree of worker coordination via a works council. The empirical part indicates dominance of the discouragement effect over the quantity effect in establishments without works council. As theoretically predicted, works councils are beneficial by disentangling rent-seeking and production issues, thus eliminating the influence of the two rent-seeking effects.     

Implied volatility sentiment: a tale of two tails

We propose a sentiment measure jointly derived from out-of-the-money index puts and single stock calls: implied volatility (IV-) sentiment. In contrast to implied correlations, our measure uses information from the tails of the risk-neutral densities from these two markets rather than across their entire moneyness structures. We find that IV-sentiment measure adds value over and above traditional factors in predicting the equity risk premium out-of-sample. Forecasting results are superior when constrained ensemble models are used vis-à-vis unregularized machine learning techniques. In a mean-reversion strategy, our IV-sentiment measure delivers economically significant results, with limited exposure to a set of cross-sectional equity factors, including Fama and French's five factors, the momentum factor and the low-volatility factor, and seems valuable in preventing momentum crashes. Our novel measure reflects overweight of tail events, which we interpret as a behavioral bias. However, we cannot rule out a risk-compensation rationale.     

Bounding preference parameters under different assumptions about beliefs: a partial identification approach

We show how bounds around preferences parameters can be estimated under various levels of assumptions concerning the beliefs of senders in the investment game. We contrast these bounds with point estimates of the preference parameters obtained using non-incentivized subjective belief data. Our point estimates suggest that expected responses and social preferences both play a significant role in determining investment in the game. Moreover, these point estimates fall within our most reasonable bounds. This suggests that credible inferences can be obtained using non-incentivized beliefs.     

Wettbewerbspolitik in der digitalen Wirtschaft

Digital content and services providers like Alphabet (formerly Google) or Facebook have become an indispensable part of our everyday lives and are among the highest valued firms in the economy as a whole. Most digital markets are characterized by direct and indirect network effects and therefore also by so-called two-sided platforms. To date it is not clear to how much market power these firms actually possess, which is a prerequisite for a possible policy intervention. The authors discuss measuring market power within the existing European legal framework and propose new legal rules in the field of digital markets. As the limitations of current instruments such as the SSNIP test point out, new approaches for the analysis of markets in the context of Internet-based platforms are necessary. The authors prefer modifying competition law to sector-specific regulations of internet-based businesses. They also discuss the implications that the use of big data has on competition policy. The author Günter Knieps focusses on the network evolution of the future all-IP Internet, which should neither be disturbed by regulatory technology policy nor by network neutrality regulation.