BOOTSTRAPPING THE NUMBER OF FACTORS IN THE ARBITRAGE PRICING THEORY

The number of factors in the APT are re-examined through a new methodology called the bootstrap, which provides a nonparametric alternative to the chi-square test used in prior research. Results suggest that the number of statistically significant factors does not increase when the number of firms increases. Moreover, only the first factor is consistently significant across sample sizes of thirty, sixty, and ninety firms.     

Growth and inequality: Dependence on the time path of productivity increases (and other structural changes)

This paper examines the significance of the time path of a given productivity increase on growth and inequality. Whereas the time path impacts only the transitional paths of aggregate quantities, it has both transitional and permanent consequences for wealth and income distribution. Hence, the growth-inequality tradeoff generated by a given discrete increase in productivity contrasts sharply with that obtained when the same productivity increase occurs gradually. The latter can generate a Kuznets-type relationship between inequality and per-capita income. Our results suggest that economies with similar aggregate structural characteristics may have different outcomes for income and wealth inequality, depending on the nature of the productivity growth path.     

Measuring the Impact of Socio-Economic Factors on School Efficiency in Australia

This paper examines the productive efficiency of government schools in New South Wales (NSW) in Australia. The study uses a technical inefficiency effects model applied to a unique three-year panel dataset containing 1235 primary and 371 secondary schools in NSW. A stochastic frontier production function and an inefficiency effects function that control for school socioeconomic and environmental factors are estimated. The dataset contains information on various school inputs, school expenditures by major functional area, parental socioeconomic characteristics, student characteristics, and standardized test scores. We examine the degree to which school and non-school educational inputs influence student achievement scores and find that, overall, primary schools are 88.6% and secondary schools 96.4% efficient. The index describing community socio-educational advantage has the most significant influence on students’ achievement scores.     

ESTIMATING THE MARKET MODEL ROBUSTLY

There is now considerable evidence in the literature that the ordinary least squares assumptions fail to hold when estimating the market model parameters. This paper describes a robust estimation procedure which provides automatic protection against departures from normality. The market model parameters are then estimated for a sample of securities using both the least squares method and the robust procedure. Analysis shows that the results under the two procedures may differ considerably.     

Telematics: Decision Time for Detroit

With implications for navigation, safety, entertainment and vehicle maintenance as well as regulation and infrastructure investment in roads, telematics has the potential to transform driving more than any other innovation for decades. In the already well-established Asian telematics industry, revenue tends to come from extra charges at the time of vehicle-sale, with most subsequent services provided free. The US model has evolved differently, with much of the cost of telematics hardware and software subsidized in the initial vehicle sale price and revenue coming from services used. The decision to invest in telematics is therefore riskier in the US. This article first briefly summarizes the potential of telematics. It then analyzes the investment risks, particularly for automakers. It concludes with recommendations on how the US auto industry can minimize risk and make the most of the opportunities.