[The purpose of this article is to suggest and demonstrate a procedure for testing economy wide linear programming models.The suggested procedure applies the linear programming model to an historical period. In general, the model's optimal solution will not be identical to the actual historical solution. Differences between the model's optimal and the economy's actual solutions could be explained by alternative sets of hypotheses--on the one hand, market imperfections, and on the other hand, defects in the linear programming model. Ordinary statistical tests could then be applied in testing the alternative hypotheses. In order to demonstrate the procedure, a linear programming model designed for prescribing an optimal economic structure for the Greek economy during the period 1954-61 is presented and tested.]

posed to the balanced growth advance along all fronts. Both of these arguments would involve an association between G in the current period and V's in previous periods. Even if Swamy's results falsify the balanced growth theory (which is very much in doubt), they do nothing to support its alternative, the unbalanced growth strategy. A more meaningful approach would be the estimation of Gt = f (Vt-mn .-... Vt-n) where t m and t n bound the time period considered relevant to Gt.

There are two main reasons why an accountant should study mathematics. First, the use of mathematics in problem solving requires a consistent logical approach. This second reason is that certain areas of mathematics have useful applications in the study and in the practice of accounting. Accountants have found, for example, practical applications of certain topics in calculus e.g., profit-volume analysis when the total revenue and total cost functions are nonlinear. The basic reasons for studying computers are parallel to those for studying mathematics. First and foremost, of course, the computer is extremely useful in the solution of many problems confronting accountants and businessmen generally. However, study of computers, and particularly computer programming, also stimulates careful analysis of problems and approaches to their solution and it fosters the habit of organized problem solving. A computer user may call upon canned programs and subroutines for standardized mathematical and statistical calculations without even having to write the programs himself.

Accounting professors, and a number of other business administration professors as well, have argued that a solid background in accounting is necessary for effective corporate decision making. By implication and on occasion explicitly, they indicate that top management would be more successful and produce higher profits, if men with considerable accounting training were more numerous at the very highest levels. This article reports on several studies that investigate this hypothesis. The medium of investigation is a simulation of top management decision-making in manufacturing industry. That accounting training is not an essential factor in management success, at least within the manufacturing sector, seems inescapable. Prior research has indicated that intelligence may be a factor in game performance; steps were taken to ensure that differences on this factor could not influence the results. Thus, as with homogeneity of major, the objective was to eliminate a possible contaminating variable which might become confounded with the experimental variable accounting training and make unambiguous interpretation of results impossible.

Reviews the book "Program Budgeting: Program Analysis and the Federal Budget," by David Novick.