The search for an economically sound procedure for estimating an appropriate rate of return on equity consistent with the Supreme Court's ruling in the Hope case [13] has led many economists, financial experts, and public service commissions to estimate the rate of return on equity with the capital asset pricing model (CAPM) (see [30], [19], and [21]). The popularity of the CAPM in regulatory proceedings was reported by Harrington [15] who, in a survey of public service commissions, found that 38 states were considering or had seen the CAPM used, two jurisdictions preferred the CAPM, Oregon required the CAPM, and South Carolina would require the CAPM in all future cases. Hence, given the popularity of the CAPM and the tremendous economic impact that outcomes of regulatory proceedings have on the financial well-being of both the regulated firm and the consumer, it is critical that if the CAPM is used in regulatory proceedings that it be applied in the best manner possible and that any limitations associated with the CAPM be recognized fully.

T HE Heckscher-Ohlin (H-O) theory suggests international trade is determined by relative resource supplies among countries. Prior empirical research, such as work on the determinants of U.S. comparative advantage in a single year, has concentrated on the static predictions of H-O theory. However, H-O theory also suggests changes over time in resource supplies will alter trade structure. The present paper investigates this aspect of H-O theory. Particular emphasis is given to the role of world resource changes as an explanation of changes in U.S. trade and of the increased international competition in manufactured goods faced by the United States. Some recent studies have examined the relationship between changes in resource endowments and trade. Heller (1976) examined changes in the factor content of Japan's trade between 1958 and 1968 and found the observed patterns-consistent with changes in Japan's physical and human capital endowments. Stern and Maskus (1981) investigated changing factor input determinants of U.S. trade by estimating annual cross-section regressions over 1958-77. They suggested U.S. net exports made less direct use of unskilled labor over time. Further, analysis of the factor content of U.S. trade suggested increased U.S. abundance in physical capital relative to human capital between 1958 and 1971. Balassa (1979), using a 1970 crosssection of countries, concluded that physical and human capital accumulation largely explained changing patterns of comparative advantage in manufactures. Although these studies made important contributions, a number of issues remain concerning the relationship between resources and trade. Stern and Maskus, in listing directions for further research, cite first an examination of How and why endowments of physical capital, human capital and labor have changed within the U.S. and our major trading partners. This paper reports a substantial data effort which addresses this topic. Another important consideration is that the direct effect of resource endowment variation on trade has yet to be determined. Previously, inferences about the effect of resource endowments on trade have been based primarily on results from industry cross-section regressions. Authors of such work indirectly infer the effect of resource variation on trade by assuming the coefficients from such regressions reflect resource abundance. However, Leamer and Bowen (1981) recently demonstrated that signs of coefficients from such regressions need not reflect a country's true resource abundance. Thus, the usual negative coefficient for the capital-labor ratio in an analysis of U.S. trade cannot be used to infer the scarcity of capital and thus cannot be used to infer the effect of an increase in capital endowment on U.S. trade. Similarly, Balassa's procedure of first regressing, for each of a sample of countries, industry trade on input intensity and then using the estimated coefficients as the dependent variable in a cross-country regression on resources is an inappropriate method for inferring the effect of resources on trade. This paper advances consideration of these issues by investigating aspects of the relationship between resources and trade. Section II examines changing patterns of resource supply among thirty-four countries over 1963-75. Section III investigates whether these resource changes are associated with altered comparative advantage in manufactured goods. Section IV uses cross-country regressions to estimate the resource endowment, as opposed to factor input, determinants of U.S. manufacturing trade and thereby the direct effect of resource variation on U.S. trade. The Received for publication April 23, 1981. Revision accepted for publication November 30, 1982. * New York University. This paper is an outgrowth of research in Bowen (1980a) and of further work conducted at UCLA under a Ford Foundation grant directed by Edward E. Leamer. An earlier version was presented at the 1980 Southern Economic Association meetings in Washington, D.C. Comments by C. Michael Aho, Robert Baldwin, Edward Leamer, Joseph Pelzman, Leo Sveikauskas and an anonymous referee are gratefully acknowledged. The author remains responsible for errors.

Pamela P. Peterson, Gary A. Benesh, A Reexamination of the Empirical Relationship Between Investment and Financing Decisions, The Journal of Financial and Quantitative Analysis, Vol. 18, No. 4 (Dec., 1983), pp. 439-453

In 1959, Henry Lataná [2] proposed an approximation to the geometric mean that was a simple function of the arithmetic mean and variance, thereby indicating a mathematical relationship between the risky investment choice model of Bernoulli and the Markowitz mean-variance model. In 1969, Young and Trent [4] presented empirical test results of the Latané approximation, as well as a set of other approximations to the geometric mean based on moments, and concluded that the Latane formula yielded a quite accurate approximation to the geometric mean. In Jean's 1980 paper [1] relating the geometric mean model to stochastic dominance models, the infinite series representation of the geometric mean used suggests a more accurate approximation with moments of the geometric mean than that contained in the earlier papers may be possible. Various forms of that series expressed in alternate-origin moments are tested empirically below, and the results confirm that this later series does yield the greatest accuracy of the three approaches.

This article proposes a new approach to small sample theory that achieves a meaningful integration of earlier directions of research in this field. The approach centers on the constructive technique of approximating distributions developed recently by the author in [10]. This technique utilizes extended rational approximants (ERA's) which build on the strengths of alternative, less flexible approximation methods (such as those based on asymptotic expansions) and which simultaneously blend information from diverse analytic, numerical and experimental sources. The first part of the article explores the general theory of approximation of continuous probability distributions by means of ERA's. Existence, characterization, error bound, and uniqueness theorems for these approximants are given and a new proof is provided for the convergence result obtained earlier in [10]. Some further aspects of finding ERA's by modifications to multiple-point Pade approximants are presented and the new approach is applied to the noncircular serial correlation coefficient. The results of this application demonstrate how ERA's provide systematic improvements over Edgeworth and saddlepoint techniques. These results, taken with those of the earlier article [10], suggest that the approach offers considerable potential for empirical application in terms of its reliability, convenience, and generality.

William Stein, Roger Pfaffenberger, P. C. Kumar, On the Estimation Risk in First-Order Stochastic Dominance: A Note, The Journal of Financial and Quantitative Analysis, Vol. 18, No. 4 (Dec., 1983), pp. 471-476

A CADEMIC JOURNALS have played an increasingly important role in the dissemination of scientific information throughout this century, particularly during the last decade.1 This fact is no less true in economics than in other disciplines. The number of journals has also increased greatly in recent decades. For these and other reasons, several recent efforts have been made to judge the various qualities and merits of individual journals. Besides being a rather enjoyable form of naval-gazing for those within a given discipline, such activities also provide valuable information. Where articles are published can affect one's promotion, tenure, and salary at one's present job; it can also affect one's brand name and the ability to change jobs. The purpose of this study is to provide a ranking of journals based on their relative influences on the writings of academics, either within the economics profession or in the world at large.2 The measurement used to create this ranking, described in detail below, is the number of citations that authors make to articles appearing in various journals. After a brief discussion of several previous studies, we proceed to a more complete explanation of our procedures and results.