Trade in final goods and the impact of innovation

We propose a method for estimating the slope parameter in an interactive effects panel data model with endogenous loadings and factors, and endogenous regressors.     

Risk and Return Around Bond Rating Changes: New Evidence From the Spanish Stock Market

Abstract:  This study analyzes the effect of corporate bond rating changes on stock prices in the Spanish stock market. We explore their effects on excess of returns and systematic risk. Rating changes by Moody's, Standard and Poor's and FitchIBCA are analyzed. On an efficient market, these changes will only have some effect if they contain some new information or if they are associated to a redistribution of wealth between shareholders and bondholders. We use an extension of the event study dummy approach. Our results support the redistribution of wealth hypothesis in the abnormal returns behavior. We also find that changes in both directions cause a rebalancing effect in the total risk of the firm, with significant reductions on their systematic component.     

Discussion: Efficiency and Self-efficiency With Multiple Imputation Inference

By closely examining the examples provided in Nielsen (2003), this paper further explores the relationship between self-efficiency (Meng, 1994) and the validity of Rubin's multiple imputation (RMI) variance combining rule. The RMI variance combining rule is based on the common assumption/intuition that the efficiency of our estimators decreases when we have less data. However, there are estimation procedures that will do the opposite, that is, they can produce more efficient estimators with less data. Self-efficiency is a theoretical formulation for excluding such procedures. When a user, typically unaware of the hidden self-inefficiency of his choice, adopts a self-inefficient complete-data estimation procedure to conduct an RMI inference, the theoretical validity of his inference becomes a complex issue, as we demonstrate. We also propose a diagnostic tool for assessing potential self-inefficiency and the bias in the RMI variance estimator, at the outset of RMI inference, by constructing a convenient proxy to the RMI point estimator.     

Investigating the Portrait Values Questionnaire at two transitions in adulthood: Retirement and University

In this study, two issues regarding the use of the Portrait Value Questionnaire (PVQ; Schwartz et al.: J. Cross. Cult. Psychol. 32:519–542, 2001) with older adults were addressed: (1) whether the quasi-circumplex structure of values, developed on younger adult samples, also emerges among older adults; and (2) whether the PVQ demonstrates measurement invariance across age groups and equivalence over time. The 40-item version of the PVQ was completed by 433 retired adults and 173 university students in Montreal, Canada. In both retired and student samples, the quasi-circumplex structure of values emerged using exploratory techniques, but was not supported by constrained confirmatory factor analyses. A modified 26-item model was necessary to achieve adequate fit indices in both samples, suggesting problems of multi-collinearity and internal discriminant validity. However, using the revised 26-item model of the values, support was found for most types of measurement invariance across age groups and time. The PVQ should, therefore, be considered appropriate for use across the adult lifespan and in longitudinal research. Results are discussed with regard to the Schwartz (In: Zanna M (ed) Advances in experimental social psychology. New York: Academic Press, pp. 1–65, 1992) value theory and the conceptualizing of values across the lifespan.     

Guanxi and risk-taking propensity in Chinese immigrants’ businesses

International Entrepreneurship and Management Journal - This paper studies the determinants of the risk-taking propensity in immigrant-owned businesses. The paper has a particular focus on...     

Online users' attitudes toward fake news: Implications for brand management

This study examines brands' vulnerability to fake news. The rapid spread of online misinformation poses challenges to brand managers, whose brands are cocreated online, sometimes to the detriment of the brand. There is a need to identify the information sources that are likely to be trustworthy and to promote positive consumer attitudes toward brands. The data for this study were taken from a Flash Eurobarometer of 26,576 respondents across 28 European countries. Cluster analysis and partial least squares structural equation modeling were used to analyze the data and unveil users' attitudes toward fake news. The findings show that users' attitudes toward fake news differ among European countries. Younger and tech-savvy users are more likely to recognize fake news and are consequently able to evaluate digital information sources without relying on policy interventions to limit the impact of fake news. Brand managers can use the findings of this study to better understand different kinds of users' susceptibility to fake news and reshape their social media branding strategies accordingly. It is hoped that this paper will encourage further research on brand management in relation to fake news and promote the widespread adoption of best practices in social media communication.