Beckmann, Martin J., and Ryuzo Sato, Aggregate Functions and Types of Technical Progress: A Statistical Analysis, American Economic Review 59 (Mar. 1969), 88-101. Brubaker, Earl R., Multi-Neutral Technical Progress: Compatibilities, Conditions, and Consistency with Some Evidence, American Economic Review 62 (Dec. 1972), 997-1003. David, Paul A., and Thomas Van de Klundert, Non-Neutral Efficiency Growth and Substitution between Capital and Labor in the U.S. Economy, 1899-1960, American Economic Review 55 (June 1965), 357-394. Hicks, John R., Theory of Wages (London: Macmillan and Co., Ltd., 1932), chapter VI. Kendrick, John W., Productivity Trends in the United States (Princeton: Princeton University Press, 1961). Sato, Ryuzo, The Estimation of Biased Technical Progress and the Function, International Economic Review 11 (June 1970), 179-208. The Most General Class of CES Functions, Econometrica 43 (Sept.-Nov. 1975), 999-1003. Sato, Ryuzo, and Martin Beckmann, Neutral Inventions and Functions, Review of Economic Studies 35 (Jan. 1968), 57-66. Sato, Ryuzo, and R. F. Hoffman, Production Functions with Variable Elasticity of Substitution: Some Analysis and Testing, this REVIEW 50 (Nov. 1968), 453460. Takayama, Akira, On Biased Technological Progress, American Economic Review 64 (Sept. 1974), 631-639.

Barry E. Cushing, D. Gerald Searfoss, Reed H. Randall, Materiality Allocation in Audit Planning: A Feasibility Study, Journal of Accounting Research, Vol. 17, Studies on Auditing-Selections from the "Research Opportunities in Auditing" Program (1979), pp. 172-216

Barry E. Cushing, D. Gerald Searfoss, Reed H. Randall, [Discussion of Materiality Allocation in Audit Planning: A Feasibility Study]: A Reply, Journal of Accounting Research, Vol. 17, Studies on Auditing-Selections from the "Research Opportunities in Auditing" Program (1979), pp. 239-246

A survey of AACSB-accredited undergraduate and graduate programs revealed that most institutions would like to expand public sector offerings but are unable to do so due to lack of funds and qualified faculty. The demand for faculty qualified to teach public sector accounting will far exceed the supply for the next five years. This supply-demand situation provides a rich opportunity for doctoral candidates.

This article examines the issue of cue weighting in judgment models used to represent human information processors. Illustrative results are presented which show that predictions produced by linear models are very robust with respect to alternative cue-weighting schemes unless the number of predictors included in the models is small, the mean correlation among the predictors is low, and the dispersion of the weights is large relative to their mean. Implications of these results for judgment modeling research in accounting are discussed. Generally, these implications concern the potential improvement in human decision making that might obtain from the search for alternative predictors and/or measurement methods rather than the search for improved methods of weighting predictors in linear models.

IN selling bills, the U.S. Treasury employs a discriminatory auction. The Treasury awards bills in the amounts and at the prices bid, beginning with the highest price and proceeding to consecutively lower prices, until the issue is allotted. A common practice -of bidders in the weekly auctions is to strip-bid; that is, to bid approximately equal amounts around the anticipated stop-out price, the lowest price at which bills are awarded. Although a number of writers have evaluated the revenue generating capabilities of the discriminatory auction, only one, Vernon Smith, attempted to do so ,through the specification of a utility maximizing model of the bidding decision.' Despite the prevalence of multiple price bidding in practice, however, Smith posited the selection of a single price bid. This paper examines the theoretical and empirical aspects of the multiple price bid in Treasury bill auctions. Section I briefly describes the weekly auctions. Section II presents a model of the bidding decision which shows that, in general, multiple price bids are optimal. Multiple price bids are examined empirically in section III. Bids that are efficient in a mean-variance sense are derived from the forecasts of actual bidders.2 In a comparison covering 75 auctions, the efficient bids had higher mean profit and lower standard deviations of profit than the dealers' actual bids on an ex post as well as ex ante basis.

In this paper the cognitive complexity construct, which has recently been introduced into the accounting literature, is examined from the point of view of accounting pedagogy. Empirical and theoretical literature (from the discipline of education) on students' cognitive complexity, is brought to bear on the problems of teaching accounting. Given certain reasonable goals of accounting education, the analysis leads to the conclusion that knowledge about the existence of the cognitive complexity construct, and its level, is important to accounting educators from the viewpoint of curriculum design. The paper concludes by suggesting several specific implications of the construct for accounting education.

The need for an empirical measure of the relative value of financial theories becomes more important as we increase their number and sophistication. Although there are several methods of determining value, here we emphasize relative predictive power. According to this single criterion, a theory is insignificant if it fails to increase our present ability to predict future events. We recognize, however, that a theory can be useful if it merely increases our understanding of real events, or if it is based upon realistic assumptions.