Bivariate exponentiated‐exponential geometric regression model

A bivariate exponentiated‐exponential geometric regression model that allows negative, zero, or positive correlation is defined and studied. The model can accommodate under‐ or over‐dispersed count data. The regression model is based on the univariate exponentiated‐exponential geometric distribution, and the marginal means of the bivariate model are functions of the explanatory variables. The parameters of the bivariate regression model are estimated by using the maximum likelihood method. Some test statistics including goodness of fit are discussed. A simulation study is conducted to compare the model with the bivariate generalized Poisson regression model. One numerical data set is used to illustrate the application of the regression model.     

Understanding the effect of market orientation on circular economy practices: The mediating role of closed-loop orientation in German SMEs

The implementation of circular economy (CE) practices is considered a key driver towards sustainable development of firms. Earlier studies point to the general strategic approach of market orientation as an antecedent to CE practice implementation. Still, insights are limited as the mechanisms underlying this relationship remain unclear. Based on a sample of 121 German small and medium-sized enterprises (SME), we empirically examine how the strategic approach of closed-loop orientation mediates the relationship between market orientation and the implementation of three types of CE practices. Using structural equation modelling, we find that while market orientation is positively related to all three types of CE practices, closed-loop orientation mediates these relationships for only two. Our study extends CE literature by suggesting that market orientation is translated into closed-loop orientation to spur CE practice implementation. We also offer a differentiated understanding of CE practice implementation in the context of German SMEs.     

The Role of Authentic (vs. Hubristic) Pride in Leveraging the Effectiveness of Cost Transparency

Journal of Business Ethics - In the era of consumer distrust of corporations, transparency is becoming a must rather than an option. While prior research has explored why businesses should disclose...     

The Anatomy of Public and Private Real Estate Return Premia

Market-wide, stock market specific, and real estate market specific risk – what kind of risk and to which extent drives the returns of listed real estate? Based on a structural asset pricing model calibrated to the empirical data in the U.S., we show that at least two thirds of the risk premium of listed real estate are driven by the same factors as direct real estate. Our results shed new light on the risk-characteristics of listed real estate returns and are of high interest for academics, regulators, and portfolio managers alike.     

Risk-adjusted option-implied moments

This paper provides a new way of converting risk-neutral moments into the corresponding physical moments, which are required for many applications. The main theoretical result is a new analytical representation of the expected payoffs of put and call options under the physical measure in terms of current option prices and a representative investor’s preferences. This representation is then used to derive analytical expressions for a variety of ex-ante physical return moments, showing explicitly how moment premiums depend on current option prices and preferences. As an empirical application of our theoretical results, we provide option-implied estimates of the representative stock market investor’s disappointment aversion using S&P 500 index option prices. We find that disappointment aversion has a procyclical pattern. It is high in times of high index levels and declines when the index falls. We confirm the view that investors with high risk aversion and disappointment aversion leave the stock market during times of turbulence and reenter it after a period of high returns.     

Work‐Related Training and the Probability of Transitioning from Non‐Permanent to Permanent Employment

It is widely believed that work‐related training increases a worker's probability of moving up the job‐quality ladder. This is usually couched in terms of effects on wages, but it has also been argued that training increases the probability of moving from non‐permanent forms of employment to more permanent employment. This hypothesis is tested using nationally representative panel data for Australia, a country where the incidence of non‐permanent employment, and especially casual employment, is high by international standards. While a positive association between participation in work‐related training and the subsequent probability of moving from either casual or fixed‐term contract employment to permanent employment is observed among men, this is shown to be driven not by a causal impact of training on transitions but by differences between those who do and do not receive training, that is selection bias.     

Societal risks as seen by Chinese students living in Macao

The present study reports on mean risk magnitude judgements expressed by Chinese students living in Macao on 87 hazardous activities, substances and technologies. These judgements were compared with findings on African, American and European samples. Despite high similarity in mean results, standard deviations, and linear correlation with the other countries, Macao appears to be the country in which the level of risk perception was clearly the highest, and this seems largely due to five items connected with violence and crime. These results are explained by the exceptionally high level of crime in Macao and its crude display by the local media.     

How Do Consumer Characteristics Affect the Bias in Measuring Willingness to Pay for Innovative Products?

Getting the price right is essential for successful new product introductions. An accurate estimate of consumers' willingness to pay is a crucial part of this task. Measurement of willingness to pay for innovations, however, often yields biased results. In this paper, we investigate consumer‐related characteristics and motives that might underlie this bias. Drawing on the elaboration likelihood model, we develop a conceptual model to identify consumer characteristics relevant for preference measurement for innovative products. In doing so, two main factors that potentially influence hypothetical bias are distinguished: ability and motivation. Our conceptual discussion and empirical results demonstrate that the validity of willingness to pay statements is higher among consumers who show a high ability to assess the new product's utility and who are truly interested in purchasing the new product. Counter to intuition, willingness to pay statements from innovators, consumers with good product category knowledge, or consumers who perceive the new product to be highly innovative are relatively more biased and should be interpreted with caution. This research is among the first to look at consumer characteristics rather than methodological issues when it comes to measuring consumer willingness to pay for innovative products. Our conceptual discussion and empirical examination of the drivers of hypothetical bias can be used to refine the validity of the results of the direct willingness to pay approach. These findings should help improve new product pricing surveys and open new avenues for research in measuring consumer preferences.