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The Impact of Buyer Concentration--An Extension

The Review of Economics and Statistics 1979 61(3), 475
induced Unemployment in Canadian Journal of Economics 8 (May 1975), 174-191. Gujarati, Damodar, The Behaviour of Unemployment and Unfilled Vacancies: Great Britain, 1958-1971, Economic Journal 82 (Feb. 1972), 195-204. Hansen, Bent, Excess Demand, Unemployment, Vacancies, and Wages, Quarterly Journal of Economics 84 (Feb. 1970), 1-23. Meltz, Noah M., Information Requirements for Government Programs Directed toward the Labour Market (Ottawa: Economic Council of Canada, 1974). Perry, G. L., Changing Labor Markets and Inflation, Brookings Papers on Economic Activity (1970), 411448. Reid, Frank, Dummy Variables with a Transitional Phase, Canadian Journal of Economics 10 (May 1977), 326-329. Skolnik, M. L., and F. Siddiqui, The Paradox of Unemployment and Job Vacancies: Some Theories Confronted by Data, Relations Industrielles 31 (1976), 32-56. Wilton, D. A., Wage Determination Process in Canadian Manufacturing Industries, 1962-1975 (Ottawa: Labour Canada, 1977).

Iterative Aggregation--A New Approach to the Solution of Large-Scale Problems

Econometrica 1979 47(4), 821
[In large and complicated management systems, solutions with the same indices, but with different degrees of aggregation, are used and coordinated. For example, in hierarchical systems, those in higher management levels make decisions with more aggregated indices than those in lower management levels. Managers of an individual subsystem within a large and complicated system use detailed information about their own subsystem and aggregated information (in some degree or other) about other subsystems. The principal idea of the iterative aggregation method is to consecutively recompute the aggregated indices characterizing the activities of the whole system, followed by a recomputation of the detailed indices characterizing each of its subsystems. From a theoretical point of view these methods are generalizations of some classes of iterative and decomposition methods.]

Risk, Return, Security-Valuation and the Stochastic Behavior of Accounting Numbers

Journal of Financial and Quantitative Analysis 1979 14(2), 317
There is a considerable body of empirical research in accounting devoted to the analysis of relationships between accounting numbers and security prices. Very roughly, this body of research may be classified into three different categories: (i) share price valuation models and the determination of market equity values; (ii) the measurement of “unexpected earnings” and their contemporaneous association with security returns; (iii) the forecasting of future security returns. The selection and definition of accounting numbers in most of these types of studies have, by and large, been quite heuristic. The accounting variables are usually selected with little consideration given to their empirical time-series behavior; more important appears to be their intrinsic economic connotations. The approaches can thus be thought of as stipulating the existence of “real” economic variables, e.g., real income for a period, and then using numbers of published accounting statements as estimates of the real variables. The errors in estimates of the true variables are then often minimized by the use of aggregation procedures and the diversification effects of such procedures. The postulating of real economic variables has another methodological advantage: it permits the use of comparative statics analysis of corporate behavior and its effect on equity risk and return. For example, Hamada [7], among others, has shown that leverage affects risk in the usually hypothesized manner but this analytical result depends on the assumption that leverage and earnings are real and unambiguous economic variables without “measurement” errors.