Donald L. Tuttle, William L. Wilbur, A Multivariate Time-Series Investigation of Annual Returns on Highest Grade Corporate Bonds, The Journal of Financial and Quantitative Analysis, Vol. 6, No. 2 (Mar., 1971), pp. 707-721

A substantial amount of scholarly effort in recent years has been devoted to the determination of the relationship between banking structure and performance. In general, the results of these studies indicate that banking structure affects both the price and quantity of banking services, but, for practical policy purposes, the impact of banking structure is quite small. Yet, the results of these studies have been inconclusive and contradictory to a substantial degree.

With the rapid growth in various types of corporate combinations, many opportunities arise in which increased internal efficiency in the allocation of capital budgeting resources may be obtained. Although the resource-transfer methodology proposed in this paper is discussed within the context of a merger/acquisition environment, the operational analysis conveivably could be applied to multiproduct, multifirm, or multinational situations. This study examines an application in which a linear programming model can be used operationally as an analytical planning device (1) to obtain efficient capital budgets for the merged companies, and (2) to quantify the monetary value of potential gains in efficiency produced by a merger. Conceptually, the model assists management in searching for excess capacity in each company, efficiently combines scarce resources, selects an optimal project list for the merged company, and indicates what the composition of the new capital budget should be. In addition, a variable step function provides for multiplicative adjustments in common resource constraints. These adjustments might be positive (negative) if the combination results in a more than proportionate increase (decrease) in the availability of a scarce resource.

Donald H. Woods, Eugene F. Brigham, Stockholder Distribution Decisions: Share Repurchases or Dividends?, The Journal of Financial and Quantitative Analysis, Vol. 1, No. 1, Proceedings of the First Annual Meeting of the Western Finance Association (Mar., 1966), pp. 15-26

This paper investigates brand name, industry specialization, and leadership audit pricing in the wake of the mergers that created the Big 6 and the Big 5 accounting firms. For samples of Australian listed public companies in each of the postmerger years 1990, 1992, 1994, and 1998, we estimate national audit fee premiums for the Big 6/5 auditors and the industry specialists and leaders. We find limited support for the ability of the Big 6/5 to obtain fee premiums over non‐Big 6/5 for those industries not having specialist auditors. Nonspecialist Big 6/5 auditors are able to obtain fee premiums over nonspecialist non‐Big 6/5 auditors for those industries having specialist auditors. However, this result only holds among the smaller half of our sample. We do not find strong support for the presence of industry specialist premiums in the postmerger years, especially after 1990, using various definitions of industry specialist. We find, at best, limited support for the presence of industry leadership premiums. The evidence suggests that after the Big 8/6 audit firm mergers, some caution is required in generalizing the Craswell, Francis, and Taylor 1995 finding of national market industry specialist premiums. More generally, the study raises questions about the tenuous link between the concept of specialization and national market‐share statistics.

How do regional productivity shocks or transportation infrastructure improvements affect aggregate welfare? In a general class of spatial equilibrium models, we provide a formula for aggregate welfare changes, decomposed into terms associated with (i) technology [Fogel (1964), Railroads and American Economic Growth (Baltimore: Johns Hopkins Press), Hulten (1978) “Growth Accounting with Intermediate Inputs”, The Review of Economic Studies, 45, 511–518], (ii) spatial dispersion of marginal utility, (iii) fiscal externalities, (iv) technological externalities, and (v) redistribution. We further use this decomposition to derive a general formula for optimal spatial transfers and show that, whenever optimal transfers are in place, the technology term alone captures the aggregate welfare effects of technological shocks. We apply our framework to study welfare gains from improving the US highway network. We find that changes in the spatial dispersion of marginal utility are as important as technological externalities in accounting for the deviations from the Fogel-Hulten benchmark to assess welfare gains.

This paper is concerned with possible model misspecification in moment inequality models. Two issues are addressed. First, standard tests and confidence sets for the true parameter in the moment inequality literature are not robust to model misspecification in the sense that they exhibit spurious precision when the identified set is empty. This paper introduces tests and confidence sets that provide correct asymptotic inference for a pseudo-true parameter in such scenarios, and hence, do not suffer from spurious precision. Second, specification tests have relatively low power against a range of misspecified models. Thus, failure to reject the null of correct specification does not necessarily provide evidence of correct specification. That is, model specification tests are subject to the problem that absence of evidence is not evidence of absence. This paper develops new diagnostics for model misspecification in moment inequality models that do not suffer from this problem.

Reviews the book `Updating Standard Cost Systems,' by Carole B. Cheatham and Leo R. Cheatham.

[Prediction is one of the most important aspects of investment decision making. This study provides evidence that investors' predictive earnings judgments can be systematically influenced as a consequence of the combined effects of "output interference" and "availability," and that the use of financial accounting information in the prediction process seems to provide limited benefit in terms of reducing this effect. Output interference is a psychological concept that implies that whatever is thought about first interferes with, and thus inhibits, later thoughts about an issue. An availability-based prediction strategy is one in which the decision maker uses the relative number of pro versus con reasons generated, and/or the ease with which such reasons can be generated, as cues in judging the likelihood of future events. Fifty-eight investors participated in an experiment that demonstrated that the order in which they considered opposing arguments regarding the possibility of reaching a specified level of earnings had an impact on both their ability to generate supporting and opposing reasons and their subsequent probability judgment that earnings would actually reach the specified level. The outcome for which the investors were able to generate the most supporting reasons was judged more probable. Investors were able to think of more reasons supporting a particular outcome, not because there were more such reasons in the objective environment, but rather as a consequence of output interference. The systematic effect on judgment, although perhaps slightly reduced, persisted when investors had access to financial statements while considering the company's earnings prospects.]