Classification situations: Life-chances in the neoliberal era

This article examines the stratifying effects of economic classifications. We argue that in the neoliberal era market institutions increasingly use actuarial techniques to split and sort individuals into classification situations that shape life-chances. While this is a general and increasingly pervasive process, our main empirical illustration comes from the transformation of the credit market in the United States. This market works as both as a leveling force and as a condenser of new forms of social difference. The U.S. banking and credit system has greatly broadened its scope over the past twenty years to incorporate previously excluded groups. We observe this leveling tendency in the expansion of credit amongst lower-income households, the systematization of overdraft protections, and the unexpected and rapid growth of the fringe banking sector. But while access to credit has democratized, it has also differentiated. Scoring technologies classify and price people according to credit risk. This has allowed multiple new distinctions to be made amongst the creditworthy, as scores get attached to different interest rates and loan structures. Scores have also expanded into markets beyond consumer credit, such as insurance, real estate, employment, and elsewhere. The result is a cumulative pattern of advantage and disadvantage with both objectively measured and subjectively experienced aspects. We argue these private classificatory tools are increasingly central to the generation of “market-situations”, and thus an important and overlooked force that structures individual life-chances. In short, classification situations may have become the engine of modern class situations.     

Policies to promote new knowledge-intensive industrial agglomerations

This paper explores the role of policymakers in encouraging endogenous growth in regions. Policymakers in many regions have sought to create the local conditions and the knowledge base that will allow a dynamic and innovative cohort of new knowledge-intensive entrepreneurial firms to emerge. We review existing models of agglomeration to identify the critical antecedents and dynamic processes that lead to agglomeration formation. The policy interventions and instruments that impact on these antecedents and processes are then outlined. We describe the evolution of two new knowledge-based agglomerations, Dublin in Ireland and Tampere in Finland, emphasizing the role of policy interventions in the process of agglomeration formation. We show how policy interventions play an important role in stimulating the development of new agglomerations. However, because the process of agglomeration formation is dependent on local resources and processes, efforts to directly transpose a development model from an established district are likely to be ineffective.     

THE CAUSES OF VOLATILITY IN A SMALL,INTERNATIONALLY INTEGRATED STOCK MARKET: IRELAND,JULY 1975–JUNE 1994

I examine the causes of conditional volatility in a small, internationally integrated stock market using the Irish stock market as an example. I relate Irish stock market conditional volatility to British stock market conditional volatility and business cycle variables from July 1975 to May 1994. Exchange rate volatility is a more significant determinant of volatility in a small, internationally integrated stock market than is interest rate volatility. It follows that a potential benefit of membership in the European Monetary System may be reduced stock market volatility in the smaller member countries.     

Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System

We construct a series of 3‐, 4‐ and 5‐variable multivariate GARCH models of exchange rate volatility transmission across the important European Monetary System (EMS) currencies including the French franc, the German mark, the Italian lira, and the European Currency Unit. The models are estimated without imposing the common restriction of constant correlation on both daily and weekly data from April 1979–March 1997. Our results indicate the importance of checking for specification robustness in multivariate Generalized Autoregressive Conditional Heleroskedasticity (GARCH) modeling, we find that increased temporal aggregation reduces observed volatility transmission, and that the mark plays a dominant position in terms of volatility transmission.     

The Trade Union Role in Career Development: a Membership Perspective

This article explores how a highly unionised and professional occupational group, school teachers, want their trade union to be involved in their career development. By taking an apparently individualistic concept and considering it from a collective perspective, the article provides insights into a neglected aspect of career development.     

A review of estimates of the schooling/earnings relationship, with tests for publication bias

In this paper we provide an analytical review of previous estimates of the rate of return on schooling investments and measure how these estimates vary by country, over time, and by estimation method. We find evidence of reporting (or “file drawer”) bias in the estimates and, after due account is taken of this bias, we find that differences due to estimation method are much smaller than is sometimes reported, although some are statistically significant. We also find that estimated returns are higher in the US and they have increased in the last two decades.     

HOW INVESTORS INTERPRET CHANGES IN CORPORATE FINANCIAL POLICY

In May 1987, Apple Computer announced that it would pay $5 million in cash dividends on its common stock your cents per share) for the first time in its history. On the day of the announcement, the market value of Apple's equity rose by $219 million.
In May 1986, Emhart announced that it intended to issue 2.75 million shares to raise $102 million in new equity. Following the announcement, the market value of its existing equity fell by $23 million.
In February 1939, General Motors declared a 2-for-1 stock split for the first time since 1955, and increased its dividends. The announcement led the market value of GM's equity to increase by $1.3 billion.     

Wage and price determination in a labour-exporting economy: The case of Ireland

A model designed to incorporate external influences through the labour and goods markets on the rates of domestic wage and price inflation is specified and estimated from postwar Irish data. It consists of equations explaining the rate of change of prices, migration, the supply of labour, the rate of change of wages and three identities. The model is both simultaneous and nonlinear, and an appropriate modification of the two-stage least-squares estimation technique is used. The estimated equations explain between 71 percent and 84 percent of the variance in the dependent variables. Since two of these are proportionate first differences, the remaining two a ratio and a first difference, this might be deemed satisfactory. However, some of the individual coefficient estimates are not.     

Discussion of Privacy in E-Commerce: Development of Reporting Standards, Disclosure, and Assurance Services in an Unregulated Market

Jamal, Maier, and Sunder (hereafter, JMS), have written an interesting paper on the development of standards in an unregulated market. The development of private standards and assurance that there is compliance are important for creating trust among market participants and for the success of new markets. The paper is relevant for accounting professionals who are responsible for assuring investors that firms' financial information is reliable and trustworthy. It shows that there is demand for market standards absent regulation, that firms voluntarily adopt standards, and that they generally comply with them. The authors contrast these findings with the regulated outcomes in the capital market and raise questions about the merits of regulation.     

Volume and skewness in international equity markets

We examine the relation between trading volume and skewness in 11 international stock markets using daily and monthly data from January 1980 to August 2004. We construct single equation and VAR models of the relation between the first three moments of market returns and trading volumes. Our results show hitherto unrecognised channels of influence, and support the investor heterogeneity approach to explaining return asymmetries.