Review of Financial Reporting and Global Capital Markets: A History of the International Accounting Standards Committee, 1973–2000

This review of K. Camfferman and S. A. Zeff, Financial Reporting and Global Capital Markets: A History of the International Accounting Standards Committee, 1973–2000 (Oxford: Oxford University Press, 2007) provides an overview of the work, comments on the authors' approach to the history of the IASC, and comments on the book's contribution to our understanding of the IASC and its place in global financial governance.     

Estimating Euler equations with noisy data: two exact GMM estimators

In this paper we exploit the specific structure of the Euler equation and develop two alternative GMM estimators that deal explicitly with measurement error. The first estimator assumes that the measurement error is log‐normally distributed. The second estimator drops the distributional assumption at the cost of less precision. Our Monte Carlo results suggest that both proposed estimators perform much better than conventional alternatives based on the exact Euler equation or its log‐linear approximation, especially with short panels. An empirical application to the PSID yields plausible and precise estimates of the coefficient of relative risk aversion and the discount rate. Copyright © 2008 John Wiley & Sons, Ltd.     

You can't always get what you want: The impact of the UK Jobseeker's Allowance

In 1996 the UK made major changes to its welfare system for the support of the unemployed with the introduction of the Jobseeker's Allowance. This tightened the work search requirements needed for eligibility for benefit. It resulted in large flows out of claimant status, but, this paper concludes, not primarily into employment. The movement out of claimant status was largest for those with low levels of search activity. But, this paper finds no evidence of increased job search activity as a result of this change.     

Distinguishing market segments to assess price responsiveness

Economists and marketers have developed theoretical constructs which suggest that effective market segmentation can be used to identify differences in price sensitivity among market theory in the industrial marketing literature by using marketing research to distinguish market segments that are useful in industrial pricing decisions. Both macrosegmentation, using characteristics of customers (that is, end-use and usage level), as well as microsegmentation (using behavioral variables) were utilized in a survey of natural gas customers to determine if segments of the industrial market differ in price sensitivity.     

The impact of public investment in medical imaging technology: an interagency collaboration in evaluation

The Canada Foundation for Innovation (CFI) and the Canadian Institutes of Health Research (CIHR) allied to analyze the impact of their investments in medical imaging research. The CFI funds capital and operating programs for research infrastructure, and CIHR's mandate concentrates its funding on research activity. It happens that CIHR-funded research consumes CFI-funded infrastructure as an input in the innovation process. Apart from a few partnered programs, by design there is no coordination between CFI and CIHR funding decisions. Together, these agencies invested $916 million over a 14-year-period. In this paper, we evaluate the economic and health benefits from advancements in one funded area, namely computed tomography perfusion (CTP). CTP is an imaging technique that uses computed tomography to measure blood flow in organs and tissues. It is mostly used to assess acute ischemic stroke. The net social benefits attributable to these investments are substantially positive: the benefit-to-cost ratio is estimated to be between 6.66-to-1 and 9.99-to-1. We review how public investments from multiple funders comingle in the innovation process to deliver social value and improved health outcomes.     

Fits,misfits and interactions: learning at work,job satisfaction and job‐related well‐being

The resource‐based view (RBV) of the firm has focused attention on the importance of aligning employees' needs with the requirements of the jobs they do. This article focuses on how these needs and requirements interact in terms of learning. It does so in two ways. First, it develops new survey instruments to capture the learning demands of jobs and the learning dispositions of workers and uses them for the first time in a survey of 2,810 employees. Second, it examines how these person and job characteristics correlate with specific aspects of job satisfaction and job‐related well‐being. The results show that although learning alignment is associated with high levels of satisfaction and well‐being, not all learning misalignments are associated with the reverse.     

Interactive data and retail investor decision‐making: an experimental study

The results of an experimental study of retail investors' use of eXtensible Business Reporting Language tagged (interactive) data and PDF format for making investment decisions are reported. The main finding is that data format made no difference to participants' ability to locate and integrate information from statement footnotes to improve investment decisions. Interactive data were perceived by participants as quick and ‘accurate’, but it failed to facilitate the identification of the adjustment needed to make the ratios accurate for comparison. An important implication is that regulators and software designers should work to reduce user reliance on the comparability of ratios generated automatically using interactive data.     

Choice and the Internet: From Clickstream to Research Stream

The authors discuss research progress and future opportunities for modeling consumer choice on the Internet using clickstream data (the electronic records of Internet usage recorded by company web servers and syndicated data services). The authors compare the nature of Internet choice (as captured by clickstream data) with supermarket choice (as captured by UPC scanner panel data), highlighting the differences relevant to choice modelers. Though the application of choice models to clickstream data is relatively new, the authors review existing early work and provide a two-by-two categorization of the applications studied to date (delineating search versus purchase on the one hand and within-site versus across-site choices on the other). The paper offers directions for further research in these areas and discusses additional opportunities afforded by clickstream information, including personalization, data mining, automation, and customer valuation. Notwithstanding the numerous challenges associated with clickstream data research, the authors conclude that the detailed nature of the information tracked about Internet usage and e-commerce transactions presents an enormous opportunity for empirical modelers to enhance the understanding and prediction of choice behavior.