A Common Base Answer to the Question “Which Country Is Most Redistributive?”*

We believe that what most authors have in mind when referring to the “most redistributive country” is a tax and transfer schedule that is most redistributive across all pre-tax and transfer income distributions. In order to measure each country's tax and transfer redistribution according to the same baseline, we suggest using the transplant-and-compare method of Dardanoni and Lambert (2002, Journal of Public Economics 86, 99–122) to establish a common base. The redistributive effects of countries’ tax and transfer schedules are illustrated by employing microdata on eight countries from the Luxembourg Income Study (LIS). Of these eight countries, Finland is found to be the most redistributive country, according to the common base method.     

The decision game: a serious game approach to understanding environmental risk management decisions

Abstract

Here we describe the implementation of an experimental research tool called the Decision Game that we used to collect data on household flood risk management decisions. Participants using this tool play an interactive game that involves making household decisions about place of residence and a variety of household expenditures, including spending on flood insurance and private flood risk mitigation. Participants also answer survey questions before and after playing the game; the pre-game survey collected demographic information, and the post-game survey collected information about participant experiences with flooding and flood mitigation. Online and face-to-face participants showed similar engagement with the experiment, and most participants appeared to have made deliberate and considered decisions about risk mitigation. Online study participants had similar responses to those who participated in person, although face-to-face participants seemed slightly more likely to mitigate against risk. Overall, participants in this research were younger, more educated and more likely to rent a home than the average Canadian. Serious games may be useful for augmenting existing data gathering strategies used in understanding environmental decision making, particularly for rare catastrophic events for which stated preference surveys may be less informative. Serious games allow for sharing a mixture of information with study participants, including maps, video clips, text and even immersive 3D experiences, and can be administered online to increase participation levels. Future research will consider longer duration online experiments and more immersive interaction frameworks.     

The motor vehicle industry in an emerging nation: the case of Brazil

As in other emerging nations, in Brazil, the motor vehicle industry is considered to be strategically important for economic development because of its backward and forward linkages and possibilities for export-led growth. This study analyses prospects for the industry by estimating an industry-level cost function that includes output of both vehicles and component parts with capital, labour and intermediate goods as inputs. The cost elasticity of output (an indicator of scale properties) and the elasticity relationships among inputs are explored. One unexpected outcome of the work that appears to be robust is that during early years of the study period, the industry had constant returns or even diseconomies of scale. However, during later years, when output was greater, there were economies of scale. This finding is likely the result of some combination of the entry of new firms, the development of new models or technological change. The study concludes that if firm output can be increased, economies of scale can be expected to strengthen the position of the Brazilian industry in the international marketplace.     

Individual labour income,stock prices and whom it may concern

In this paper, a panel model which describes the relationship between individual labour income and stock prices in Germany is estimated. The specification allows the individuals to cluster concerning the model parameters that describe first the individual labour income dynamics and second the relationship between the individual labour income and financial markets. Methodically, a Bayesian model-based non-Gaussian panel data approach, proposed by Juarez and Steel (2010a), is used. A group of individuals with a high cluster assignment probability is found. The characteristics of this group, whose individuals share the same autoregressive dynamics and a common, relatively high dependence on financial markets, are investigated further. It can be shown that this group has a statistically significantly different partition of the major occupational groups. This leads to implications for various branches of the literature, such as the pricing of human capital contracts, the hedging of individual income risk, portfolio optimization or asset pricing.     

Troubled by unequal pay rather than low pay:The incentive effects of a top management team pay gap

We examine the relationships with firm performance of the internal pay gap among individual members of the top management team(TMT) and the compensation level o...     

Making sense of complex data using interactive data visualization

An important role for accountants today is to provide decision support to senior management by assisting them in the analysis of large, complex data sets. Interactive data visualization (IDV) facilitates this process by allowing users to navigate, select, and display data via an easy-to-use interface often used as a component of data analytics. Given the increasing popularity of IDV as a tool for making sense of complex data, it is important that accountants become familiar with and learn how to use this technology. This case provides a hands-on opportunity to organize complex accounting data to create IDVs for decision makers to use. Further, the case enables students to understand the potential impact of IDVs on preparers and users of accounting information. Students will assume the role of a division controller in a hypothetical company and create an IDV to assist the chief executive officer (CEO) in decision making.     

Building from Scratch: New Cities,Privatized Urbanism and the Spatial Restructuring of Johannesburg after Apartheid

By the start of the twenty‐first century, the once dominant historical downtown core of Johannesburg had lost its privileged status as the center of business and commercial activities, the metropolitan landscape having been restructured into an assemblage of sprawling, rival edge cities. Real estate developers have recently unveiled ambitious plans to build two completely new cities from scratch: Waterfall City and Lanseria Airport City (formerly called Cradle City) are master‐planned, holistically designed ‘satellite cities’ built on vacant land. While incorporating features found in earlier city‐building efforts, these two new self‐contained, privately‐managed cities operate outside the administrative reach of public authority and thus exemplify the global trend toward privatized urbanism. Waterfall City, located on land that has been owned by the same extended family for nearly 100 years, is spearheaded by a single corporate entity. Lanseria Airport City/Cradle City is a planned ‘aerotropolis’ surrounding the existing Lanseria airport at the northwest corner of the Johannesburg metropole. These two new private cities differ from earlier large‐scale urban projects because everything from basic infrastructure (including utilities, sewerage, and the installation and maintenance of roadways), landscaping, security services, the regulation of common spaces, and selling and branding the city are firmly in the hands of private profit‐making corporate entities and outside the mandate of public authorities.