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The effects of data heterogeneity on the efficiency estimate by data envelopment analysis are evaluated here in terms of empirical applications in the computer industry. Scale of size variations of firms and heteroscedasticity are the two forms of heterogeneity considered here. Our empirical results show that the adverse effects of data heterogeneity can be considerably reduced by the methods suggested here. doi: 10.1057/palgrave.jors.2601861 Keywords: heteroscedasticity; size variations; cost frontier; minimum efficient scale

Alternative decision rules for aggregate production scheduling are specified here under chance-constrained sales and compared with the HMMS model. These rules are evaluated for their performance on the basis of simulated data on sales and it is found that the linear decision rules of the HMMS model can be considerably improved. [ABSTRACT FROM AUTHOR]

Examines the characteristics of a balanced growth path for a multiproduct firm with divisionally shiftable capital inputs. Assumption on the production period of the firm; Existence of a balanced growth path; Use of a linear programming model.

Focuses on the distribution aspects of chance-constrained linear programming. Analysis the implications of non-normal distribution of the random elements; Normality of the distribution of variables Two approaches of chance-constrained programming and stochastic linear programming.

Analyzes the class of stochastic linear programming (SLP) problems under the additional restrictions of a chance-constrained type. Design of the ordinary linear programming model; Implications for the design of economic models; Advantages of the SLP approach.

Analyzes the concept of a linear decision rule in application to optimal growth in economics. Emergence of macro-dynamic policy-making problems; Definition of optimality; Specification of optimal average growth path of consumption.

Investigates the stability of truncated solutions of stochastic linear programming. Types of stochastic programming; Measurement of stability in terms of variance; Discussion on truncation.

This section presents abstracts of research and articles on statistical methods used in economics, econometrics and social accounting. In their article, A Note on the Dual Prices of Integer Programs, R. E. Alcaly and A. K. Klevorick propose an alternative view of integer programming problems by presenting a recomputation process that enables a reconciliation of the integer and linear programming properties. A. R. Bergstrom's article, Nonrecursive Models as Discrete Approximations to Systems of Stochastic Differential Equations, is concerned with the specification error implied by the use of a nonrecursive model as a discrete approximation to a system of stochastic differential equations. In the paper, Financial Accounting: Its Present State and Prospects, author G. S. Dorrance reviews the presently available national statistics of borrowing and lending in communities, and of national balance sheets. It covers 17 countries, including practically all those for which such data are now available together with two for which data have been presented in the past. H. Enzer examines a linear growth system by applying a nonnegative output matrix to an age distribution of capital stock, in the paper On A Useful Capital Growth Matrix.

Analyzes fluctuation of stock market prices in different countries. Preferences for fixed exchange rates in New York; Economic models for calculation of stock prices in Soviet Union.