Paul H. Cootner, David H. Pyle, Capital Asset Pricing in a General Equilibrium Framework, The Journal of Financial and Quantitative Analysis, Vol. 13, No. 4, Proceedings of Thirteenth Annual Conference of the Western Finance Association, June 20-26, 1978 (Nov., 1978), pp. 613-624

Cost variance, Multi-observation models, Investigation costs

In this issue of the Journal of Financial and Quantitative Analysis, Beranek [2] has presented a clever but cumbersome analysis showing that, for a simple multiperiod situation, computing a project's net present worth by discounting its cash flows at particular “costs of capital” and accepting the project if that net present worth is positive is completely consistent with raising the net present wealth of stockholders, initial investment from whom provides partial funding for the project.

Journal Article Estimation of a Vintage Capital Model for Electricity Generating Get access Hugh R. Wills Hugh R. Wills London School of Economics Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 45, Issue 3, October 1978, Pages 495–510, https://doi.org/10.2307/2297251 Published: 01 October 1978 Article history Received: 01 October 1976 Accepted: 01 July 1977 Published: 01 October 1978

H. Neudecker, Bounds for the Bias of the LS Estimator of σ 2 in the Case of a First-Order (Positive) Autoregressive Process when the Regression Contains a Constant Term, Econometrica, Vol. 46, No. 5 (Sep., 1978), pp. 1223-1226

[Techniques are described whereby the distribution of completed unemployment spell lengths may be inferred from the distribution of in-process unemployment spell lengths recorded each month in the Current Population Survey. An extension is proposed whereby the complete population joint distribution of labor market transition probabilities can be estimated using only Current Population Survey information.]

STATISTICAL analyses of the structureperformance relationship in manufacturing industries have invariably assumed that an industry's member firms differ only in their market shares. This paper demonstrates that this assumption is often incorrect, and that the complexity of the structure of strategic groups populating an industry exerts a significant influence on its performance. In the following sections we explain the sources and significance of strategic groups, derive hypotheses about their influence on an industry's profitability, and test these hypotheses on a sample of producer-good industries.

The bank financial management process involves assets, liabilities, and factors external to the bank and thus is multivariate. Because variables such as deposits, loans, or interest rates are often related with a time lag to another variable such as investments, the process is also dynamic. Although the research work of Aigner [1], Aigner and Bryan [2], Anderson and Burger [3], Bryan [6], Bryan and Carleton [7], Fraser and Rose [10], Hester and Pierce [13], and Melnik [14] has dealt with the multivariate aspect of the process, the consideration of dynamic properties in empirical work has been limited.