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.     

On the ambiguous economic freedom–inequality relationship

Previous research on the relationship between economic freedom and income inequality has produced mixed results. We provide a short survey of this literature, identifying potential causes for this empirical heterogeneity. Next, we replicate the results from two significant studies using six alternative measures of income inequality for an updated dataset of up to 112 countries over the period 1970–2010. Notably, we use the latest release of the Standardized World Income Inequality Dataset, which allows us to account for the uncertainty of the estimated Gini coefficients. We find that the results of previous studies are sensitive to the choice of country sample, time period and/or inequality measure used. We conclude with suggestions for future research in the area.     

Technical efficiency of sawnwood production in Ondo and Osun states,Nigeria

This study quantified technical efficiency and the determinants of observed technical inefficiency of sawmills in Nigeria. A two-stage sampling technique was used to select 170 sawmillers in Ondo and Osun states, while questionnaire was used to obtain data from them between October and December 2003. The stochastic frontier approach was used to estimate technical efficiency of both small- and medium-scale sawmills, while the ordinary least square (OLS) regression analysis was used to estimate the determinants of the observed technical inefficiency. Empirical results indicate that medium-scale sawmillers are more efficient than their small-scale counterparts. However, both groups of sawmillers in Nigeria have potentials to expand their output.     

Shifts in Portfolio Preferences of International Investors: An Application to Sovereign Wealth Funds

We develop a dynamic general equilibrium model to analyze the macroeconomic effects of a shift in portfolio preferences of foreign investors. The model has two countries and two asset classes (equities and bonds). It is characterized by imperfect substitutability between assets and allows for endogenous adjustment in interest rates and asset prices. To illustrate the mechanics of the model, we calibrate it to analyze a transfer of reserves from central banks to sovereign wealth funds (SWFs). We look separately at two diversification paths: a shift away from dollar assets (path 1), and a shift away from US bonds to US equities (path 2). In path 1, the dollar depreciates and US net debt falls on impact and increases in the long run. In path 2, the dollar depreciates and US net debt increases in the long run.     

Economics and the treatment of AIDS: a preliminary assessment

This paper applied cost-effectiveness analysis to the use of drug therapy in the treatment of AIDS. The empirical approach adopted overcame the facts that the samples of patients had varying clinical prognoses, had variable entry dates into the samples and, because AIDS is a terminal disease, had variable exit dates. Holding these variables constant, administration of the drug AZT proved to be a less costly alternative than other existing palliatives for AIDS. The sub-sample of patients treated with AZT had lower hospitalization costs, lower caring costs and sufferers had an increased ability to continue to participate for longer as economically active members of society.     

Assessing costs and benefits of pest management on forested landbases in eastern and western Canada

To assist pest management planning, the Canadian Forest Service developed the Spruce Budworm Decision Support System (SBW DSS), which quantifies the timber supply impacts of protecting stands against spruce budworm (Choristoneura fumiferana Clem.) defoliation. We incorporated protection costs and timber product values in this system to evaluate economic aspects of spruce budworm control. The analysis allows pest managers to evaluate the degree to which the traditional volume protection priority objective corresponds to three economic criteria, namely the volume protected per dollar protection program cost, the benefit–cost ratio of the protection program, and the net present value of the protection program. Twelve alternative spruce budworm protection strategies were analyzed on Crown License 1 in New Brunswick and Prince Albert Forest Management Area (PAFMA) in Saskatchewan, based on a number of protection program extents and intensities. For both landbases under base-case market conditions, the largest, most intensive protection scenario provided the highest amount of volume saved and net present value (at 3.94 Mm³ and $39.98 M for PAFMA, and 4.04 Mm³ and $41.49 M for License 1, respectively) while smaller, less-intensive programs provided the highest benefit–cost ratios and volume protected per present value dollar of protection cost (at 8.22 and 0.52 m³/$ for PAFMA, and 10.26 and 0.65 m³/$ for License 1, respectively). Sensitivity analysis on product values and protection costs revealed that smaller, less-intensive programs could also produce the highest net present values when costs are higher and/or product values lower. These results highlight the conditions under which pest managers should consider deviating from their traditional strategy of maximizing volume saved to one that maximizes the economic returns of protection.     

Modelling the Risks Associated with the Increased Importation of Fresh Produce from Emerging Supply Sources Outside the EU to the UK

The risk of non‐indigenous plant pests entering the UK via international trade in fresh produce is increasing. The objective of this article is to identify existing and emerging supply sources for UK fresh produce importers and examine the extent to which they could provide invasion pathways. We tested the hypothesis that increased imports of fresh produce from new sources outside the European Union could increase the risks of non‐indigenous insect pests. We use a bio‐economic model approach in which the number of species arrivals is a function of the volume of imports, whereas the volume of imports itself is a function of gross domestic product, relative import prices and seasonality. The study has identified clear trends, which show import volumes of fresh produce and species detections increasing from new supply sources. If this trend continues in the future, then the UK inspection agency should expect to confront species from new suppliers in much greater numbers, given that import volumes of fresh produce are income elastic.     

Creating a Testable, Estimable Model to Inform Our Response to the Test-Score Gap Crisis

The test-score gap between black and white students should be seen as a crisis. We propose a testable model based on readily available data that will allow us to estimate the impact and interrelationships of a multitude of factors that may be partially responsible for the problem. The estimation of this model will require the joint efforts of experts in many areas of education as well as of experts in multilevel structural equation modeling.     

RESPONDING TO DISRUPTIONS IN THE SUPPLY NETWORK‐FROM DORMANT TO ACTION

Managing risks in supply networks is a complex task; more so in those supply networks where the core competence lies in dealing with natural disasters, complex emergencies, and large‐scale attacks—namely those of humanitarian, and military organizations where the price of failure can be counted in terms of the loss of life rather than, simply, reduced profits. This conceptual article examines the capabilities of these supply networks to manage such disruptions, based on their resource configuration in a dormant preparation state. The article concludes by presenting how different types of supply networks can manage large‐scale disruptions.