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.     

Oil price forecasting under asymmetric loss

Based on the approach developed by Elliott et al. (2005), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price of oil tended to be larger than the loss they incurred when their forecast fell short of the price of oil. Accounting for the asymmetry of the loss function does not necessarily make forecasts look rational.     

REPRODUCTION AND TEMPORARY DISEQUILIBRIUM: A CLASSICAL APPROACH

We build a bisector reproduction model with Classical features in which the capitalists aim at maximizing accumulation. At variance with gravitation models, it is assumed that they invest their profits in their own industry. Their plans are based on actual productions and expected prices. Effective prices and effective allocations of resources are determined by a market‐clearing mechanism. A law on the formation of expectations allows us to define the dynamics of disequilibria, which let appear endogenous self‐sustained fluctuations around a long‐run path. The long‐run rate of growth and the amplitude of the fluctuations depend on the initial conditions.     

The external and domestic side of macroeconomic adjustment in China

This paper sheds new light on the external and domestic dimension of China’s exchange rate policy. It presents an open-economy model to analyse the macroeconomic adjustment process in China under both flexible and fixed exchange rate regimes. The model-based results indicate that persistent current account surpluses in China cannot be rationalized, under general circumstances, by the occurrence of permanent technology or labour supply shocks. As a result, to understand the macroeconomic adjustment process in China it is necessary to mimic the effects of potential inefficiencies, which induce the subdued response of domestic absorption to permanent income shocks, thereby causing the observed positive unconditional correlation of the trade balance and output. The paper argues that these inefficiencies can be potentially seen as a by-product of the fixed exchange rate regime, and can be approximated by a stochastic tax on domestic consumption or a time-varying transaction cost technology related to money holdings. Our results indicate that a fixed exchange rate regime with financial market distortions, as defined above, might induce negative effects on GDP growth in the medium term compared with a more flexible exchange rate regime.