The Part‐Time Job Satisfaction Puzzle: Different Types of Job Discrepancies and the Moderating Effect of Family Importance

Although part‐time employment often appears as a substandard form of employment, evidence that part‐time employees are less satisfied than full‐time employees is ambiguous. To shed more light on this puzzle, I test an extended discrepancy theory framework using data from the German Socio‐Economic Panel. The results help explain previous inconsistent findings: Part‐time employment increases the chances of being underemployed while it reduces the likelihood of working more hours than preferred, and the negative effects of both types of working time mismatches on job satisfaction are similar in size. Furthermore, the importance attributed to family roles mitigates the negative effect of part‐time employment on job satisfaction.     

Extracting brand information from social networks: Integrating image,text, and social tagging data

Images are an essential feature of many social networking services, such as Facebook, Instagram, and Twitter. Through brand-related images, consumers communicate about brands with each other and link the brand with rich contextual and consumption experiences. However, previous articles in marketing research have concentrated on deriving brand information from textual user-generated content and have largely not considered brand-related images. The analysis of brand-related images yields at least two challenges. First, the content displayed in images is heterogeneous, and second, images rarely show what users think and feel in or about the situations displayed. To meet these challenges, this article presents a two-step approach that involves collecting, labeling, clustering, aggregating, mapping, and analyzing brand-related user-generated content. The collected data are brand-related images, caption texts, and social tags posted on Instagram. Clustering images labeled via Google Cloud Vision API enabled to identify heterogeneous contents (e.g. products) and contexts (e.g. situations) that consumers create content about. Aggregating and mapping the textual information for the resulting image clusters in the form of associative networks empowers marketers to derive meaningful insights by inferring what consumers think and feel about their brand regarding different contents and contexts.     

Development Cost Capitalization During R&D Races

We investigate the economic effects of capitalizing development costs during a race between two firms to discover and develop a new technology. Winning the race requires success in the research stage and success in the development stage. Development costs are expensed in some settings, but capitalized in others. Capitalization of development costs provides a credible signal regarding progress in the race, allowing the rival to make a more informed decision regarding whether to proceed with development. We study the effects of this signal on the firms’ investment decisions and social welfare. We show that if both firms capitalize instead of expense development costs, aggregate investment in research weakly increases but aggregate investment in development weakly decreases. We also characterize the accounting policies that the two rival firms would adopt if they could freely choose either an expensing policy or a capitalization policy.     

The Aftermath of Anti-Dumping: Are Temporary Trade Barriers Really Temporary?

A consistent finding in the literature is that anti-dumping (AD) acts as a significant barrier to bilateral trade, in particular, during the time such measures are in force. Adding to a relatively scarce empirical literature, however, we identify adverse impacts of AD which survive well beyond its revocation. More specifically, while we cannot rule out a slight post-revocation recovery, we find empirical evidence that once affected bilateral trade does not fully recover on average following revocation. We use panel data at the Harmonized System four-digit (HS4) level of aggregation to produce these results and show that they are robust to the duration of AD cases, the time of their imposition and revocation, differentiation by economic sector and the nature of imposing countries. Several explanations for our observed empirical results seem plausible, and we provide a theoretical framework which suggests our results could be driven by market exit or underinvestment of targeted firms.

     

The purity of impure public goods

In this paper, we provide a new perspective on the links between the analysis of the voluntary provision of pure and impure public goods. In particular, it is shown that the impure public good model can be transformed into a pure public good one. This innovative method not only leads to new comparative statics results, but also provides new insights on the impure public good model, for example, on causes of the nonneutrality of income transfers with regard to Nash equilibria in the impure public good case.