The Short‐Term Economic Impact of Levying E‐Tolls on Industries

TERM is used to analyse the short‐term regional economic impact of an increase in industries' transport costs when paying E‐Tolls. Market‐clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed. 1 1 TERM is a bottom‐up CGE model designed for highly disaggregated regional data. The Enormous Regional Model's originate from Horridge et al. ( 2005 ) and are better explained in Horridge ( 2011 ).
We concluded that costs from levying E‐Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (?0.404%), gross domestic product (GDP) (?0.01) and consumer price inflation (?0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's.     

Scaling the volatility of GDP growth rates

The distribution of shocks to GDP growth rates is found to be exponential rather than normal. Their standard deviation scales with GDP^β where β=−0.15±0.03. These macroeconomic results place restrictions on the microeconomic structure of interactions between agents.     

Combining Sources of Preference Data for Modeling Complex Decision Processes

We review current state-of-the-art practices for combining preference data from multiple sources and discuss future research possibilities. A central theme is that any one data source (e.g., a scanner panel source) is often insufficient to support tests of complex theories of choice and decision making. Hence, analysts may need to embrace a wider variety of data types and measurement tools than traditionally have been considered in applied decision making and choice research. We discuss the viability of preference-stationarity assumptions usually made when pooling data, as well as random-utility theory-based approaches for combining data sources. We also discuss types of models and data sources likely to be required to make inferences about and estimate models that describe choice dynamics. The latter discussion is speculative insofar as the body of literature on this topic is small.     

Managing knowledge in foreign entry strategies: a resource‐based analysis

International strategies vary in their potential to exploit and augment a firm's resources, especially its knowledge base. Resource‐based analysis suggests clustering the diverse entry modes in terms of their exploitation and augmentation characteristics. We thus introduce a new categorization of entry modes based on their potential to augment the resources of an entrant. We then explore the antecedents of these modes, and advance testable propositions delimiting for which firms and in which circumstances each mode maximizes long‐term value creation. Finally, we outline how our resource‐based framework complements transaction‐cost‐based frameworks. Copyright © 2009 John Wiley & Sons, Ltd.     

Schuldenerleichterungen für Griechenland — ein Überblick

The article provides an overview of debt waivers by private and public debt holders during the Greek financial crisis and the three assistance programmes. Greece’s advantages add up to around 280 to 298 billion euros. The burden, in the form of reduced annual payments, is carried by the debt-holding countries and amounts to about 206 to 224 billion euros, the private sector’s share being roughly 70 %. Nevertheless, liability shifted from the private sector to rescue funds. Therefore, the aforementioned additional debt relief will primarily strain the countries that pay for the bail out and the ECB.     

The Determinants of Plant Exit: the Evolution of the U.S. Refining Industry

This paper analyzes the exit and expansion of U.S. petroleum refineries using plant-level data from 1947 to 2013. We find that small refineries and refineries owned by a multi-plant firm are more likely to close. If a multi-plant firm closes a refinery, it closes a smaller one. Unlike previous research, we find no clear relationship between a firm’s share of national refining capacity and the probability of refinery exit. We also find that refineries close when the industry as a whole has low capacity utilization. In total, firms close small, likely inefficient, refineries when refinery utilization is low.     

DOES ATHLETIC SUCCESS INFLUENCE PERSISTENCE AT HIGHER EDUCATION INSTITUTIONS? NEW EVIDENCE USING PANEL DATA

This study examines the relationship between athletic success and student persistence toward a degree. We build an updated panel of National Collegiate Athletic Association (NCAA) Division I institutions and utilize within‐institution variation to identify the effects of athletic success. Using a ranking of all institutions, we find that having more successful men's basketball and football teams has a significant positive effect on first‐year retention rates. We also find some evidence that improved basketball rankings increase graduation rates, and that success in the NCAA tournament may have a sizable impact on retention. Although the estimated effects are generally modest in scale, we find rather limited evidence of other institutional factors affecting persistence, suggesting that athletics can be one avenue for institutions of higher education to engage and retain students. (JEL I23, Z20, L83)