Do the Rich Stay Unemployed Longer? An Empirical Study for the UK

This paper investigates the impact of individual asset holdings on the probability of leaving unemployment. According to the theory, higher levels of financial wealth will result in higher reservation wages and longer unemployment durations. I estimate the impact of financial assets on the hazard rate, using data for Great Britain. The empirical findings indicate that individual asset holdings affect significantly the escape rate out of unemployment. In particular, negative (positive) levels of wealth increase (reduce) the hazard of leaving unemployment. The size of the impact is, however, rather small. Increasing by 100% the level of wealth of a representative individual, with net wealth and other individual characteristics equal to the sample mean, increases the duration of the unemployment spell by half a week.     

Attitudes towards Uniform Accounting: Cultural or Economic Phenomena?

The existing literature suggests that uniformity versus flexibility is a key dimension of differentiation in cross-national financial reporting practices. However, the issue of what drives attitudes towards uniformity has not been explored. Drawing upon a variety of existing studies, this study explores the attitudes of Big 6 auditors in 23 countries towards rules mandating a single treatment across 14 issues. The study finds that auditors are in favor of a single mandated treatment in the majority of cases and that support for such rules is affected by both culture and the importance of the domestic stock market to the country. These results hold true even after the influence of extant practice or the level of uniformity of current practice is controlled for. Relatively higher levels of uniformity in de facto financial reporting practices and relatively stronger support for increased uniformity were both found in many of those countries which are traditionally thought of as having more flexible financial accounting systems.     

The Market Perception of Convertible Debt Versus Straight Debt: some Empirical Evidence from U.S. Firms and Non-U.S. Firms Listed in the U.S.

Accounting for convertible debt has long been a source of controversy in the accounting profession in the U.S. Current U.S. accounting rules require classifying convertible debt at date of issuance as entirely debt until conversion, despite numerous studies that assert that convertible debt is not entirely debt, but is a blend of debt and equity. Convertible debt has taken on international interest because of the issuance of International Accounting Standard (IAS) 32, Financial Instruments; Disclosure and Presentation, which prescribes reporting separate debt and equity components for convertible debt. This study examines convertible debt issued by U.S. firms and non-U.S. firms listed in the U.S. using a levels approach. Specifically, convertible debt is compared to straight debt and contrary to ex ante expectation, convertible debt was not found to be perceived as being significantly different than straight debt for U.S. firms for any years and is statistically different in only two of the six years tested for non-U.S. firms. The validity of this study's findings is underscored by its research design, which compares convertible debt and straight debt issued by the same firms. The findings suggest that investors regard reported amounts of convertible debt similar to straight debt in their assessment of firm value.     

Perceptions of poverty attributions in Europe: a multilevel mixture model approach

The perception of the causes of poverty has long been recognized as a very important factor in the broader study of this social phenomenon. This study covers 15 European Union countries and considers three types of poverty attributions: individualistic, societal, and fatalistic. The individualistic view perception believes the poor are responsible for their situation, the societal perspective blames society for poverty and the fatalistic view considers poverty to be the result of bad luck or fate. A multilevel mixture model with three clusters of countries and six clusters of individuals was identified. Despite the generalization of the social explanations of poverty at the individual or micro level, there are also groups that emphasize more individualistic explanations, blaming the poor for their condition. At the country or macro level, the most developed cluster believes in the individualistic and fatalistic causes of poverty, whereas the least developed clusters explain poverty based on the injustices of society. There is diversity in the way these countries perceive poverty.     

Unit Root Testing under a Local Break in Trend using Partial Information on the Break Date*

We consider unit root testing allowing for a break in trend when partial information is available regarding the location of the break date. This takes the form of knowledge of a relatively narrow window of data within which the break takes place, should it occur at all. For such circumstances, we suggest employing a union of rejections strategy, which combines a unit root test that allows for a trend break somewhere within the window with a unit root test that makes no allowance for a trend break. Asymptotic and finite sample evidence shows that our suggested strategy works well, provided that, when a break does occur, the partial information is correct. An empirical application to UK interest rate data containing the 1973 ‘oil shock’ is also considered.     

A Conversation with James O. Ramsay

Jim Ramsay was born on September 5, 1942, in Prince George, British Columbia. He pursued undergraduate studies at the University of Alberta, where he completed a BEd in 1964 with a major in English and a minor in mathematics. He then specialized in statistics and psychometry, earning a PhD in psychology from Princeton University in 1966. After holding a temporary lectureship in the Department of Psychology at University College London for one year, he joined the Department of Psychology at McGill University, where he rose through the academic ranks. He was chair of his department from 1986 to 1989 and spent sabbatical leaves in Cambridge, Grenoble, and Toulouse. He was named professor emeritus upon his retirement in 2007. Jim is the author of four influential books and over 100 peer‐reviewed articles in statistical and psychometric journals. He developed much of the statistical theory behind multidimensional scaling and is widely recognized as the founder of functional data analysis. Three of his papers were read to the Royal Statistical Society, and another won The Canadian Journal of Statistics 2000 Best Paper Award. The Statistical Society of Canada (SSC) awarded him a Gold Medal for research in 1998 and an honorary membership in 2012. Jim was president of the Psychometric Society in 1981–82 and president of the SSC in 2002–03. The following conversation took place at Jim's home in Ottawa, Ontario, on March 14 and April 4, 2012.     

The tortoise and the hare: the impact of employment instability on firm performance

The main objective of this study is to assess the influence of employment instability on firm performance in a sample of publicly traded firms. Competing theoretical arguments are considered with regard to likely outcomes associated with employment instability. A large sample of cross‐sectional time‐series data is then analysed using generalised estimating equations (GEE) regression techniques. Results indicate that employment instability is negatively associated with firm performance, although the relationship is also demonstrated to be quadratic (an inverse U‐shaped relationship). This suggests that the main relationship varies depending upon the level of employment instability. Industry characteristics are also examined as moderators of this main effect. The results suggest a disordinal interaction effect for industry differentiation, where employment instability is negatively associated with firm performance for firms in highly differentiated industries and positively associated in less differentiated industries.