Productivity Levels and International Competitiveness between Canadian and U.S. Industries by Frank C. Lee and Jianmin Tang. Published in volume 90, issue 2, pages 176-179 of American Economic Review, May 2000

Most OECD economies, including that of Canada, experienced a slowdown in economic growth from the 1961–1973 period to the 1973– 1988 period, and to the 1988–1995 period. Consequently, progress in the standard of living, as measured by GDP per capita, also slowed down in most OECD countries over the three subperiods. This paper analyses the sources of output growth in 122 industries and in the private business sector to gain an additional perspective on the slowdown of the Canadian economy. We adopt the constant-quality indexes of capital and labor inputs introduced by Dale W. Jorgenson and Zvi Griliches (1967) and later used extensively in Jorgenson et al. (1987), Jorgenson (1995a, b), and Jorgenson and Eric Yip (2000) to identify the sources of growth. These measures allow us to take into account the changing composition of the labor force and the capital stock. At the industry level, we adjust for capital quality by aggregating the capital stock across five asset types by means of the rental prices of capital rather than the asset prices of capital. The use of rental prices allows us to incorporate differences in depreciation rates and tax treatment across different asset types for each industry. At the same time, we combine hours worked by each type of worker using the share of labor compensation to reflect labor quality. At the aggregate level, we apply the same framework by aggregating the capital stock across different asset types and hours worked across different types of workers. A number of studies have compared Canada’s economic growth performance with that of its competitors using this framework (Chrysostom Dougherty, 1991; Dougherty and Jorgenson, 1997; Jorgenson and Yip, 2000). However, this is the first attempt at using this framework to assess Canada’s economic performance at the industry level.

This study shows that past trading volume provides an important link between “momentum” and “value” strategies. Specifically, we find that firms with high (low) past turnover ratios exhibit many glamour (value) characteristics, earn lower (higher) future returns, and have consistently more negative (positive) earnings surprises over the next eight quarters. Past trading volume also predicts both the magnitude and persistence of price momentum. Specifically, price momentum effects reverse over the next five years, and high (low) volume winners (losers) experience faster reversals. Collectively, our findings show that past volume helps to reconcile intermediate‐horizon “underreaction” and long‐horizon “overreaction” effects.