A variety of financial models are cast as nonlinear parameter restrictions on multivariate regression models, and the framework seems well suited for empirical purposes. Aside from eliminating the errors-in-the-variables problem which has plagued a number of past studies, the suggested methodology increases the precision of estimated risk premiums by as much as 76%. In addition, the approach leads naturally to a likelihood ratio test of the parameter restrictions as a test for a financial model. This testing framework has considerable power over past test statistics. With no additional variable beyond β, the substantive content of the CAPM is rejected for the period 1926–1975 with a significance level less than 0.001.

Disclosures, Loss contingency, Stock price response, Earnings quality

William R. Kinney, Jr., Gerald L. Salamon, Regression Analysis in Auditing: A Comparison of Alternative Investigation Rules, Journal of Accounting Research, Vol. 20, No. 2, Part I (Autumn, 1982), pp. 350-366

Past research has recognized that both demand and capability influence the allocation of R&D resources. Scholars have had an easier time getting a grip on demand than on capability. While it has been recognized that knowledge is an important part of capability, to date, formalization of knowledge and its role in R&D activity has been unsatisfactory. This paper models the role of knowledge in R&D. Various sources of such knowledge are considered. The model throws a different light on analyses that employ a “knowledge capital stock, †and also illuminates the dual private and public nature of technological knowledge.

THIS PAPER PRESENTS a numerical algorithm for computing full information maximum likelihood (FIML) and nonlinear three-stage least squares (3SLS) coefficient estimates for large nonlinear models. (The proposed algorithm will be denoted algorithm A.) Although the theory of FIML estimation has been available for thirty years [20], FIML estimation has long been regarded as impossible on large nonlinear models.2 The more recently proposed nonlinear 3SLS estimator [191 also poses difficulties for large models.3 Using the algorithm presented in this paper, FIML and 3SLS are now feasible alternatives for estimation of large nonlinear models. The principles behind algorithm A's efficiency can be summarized as follows. First, most of the algorithm's steps explicitly control the mean of each equation's residuals. Large changes in those means are avoided because the FIML and 3SLS estimation problems are extremely sensitive to the residuals' means. Second, the coefficients are grouped by equations and the groups are treated separately during most of each iteration. This focus on individual equations is effective because coefficients within the same equation are generally more

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Kemp and Long demonstrated that it may be preferable to exploit high and low cost resource deposits simultaneously and not in sequence as is typically assumed in the resources literature. They show that it is desirable to delay extraction from low cost pools in order to smooth consumption over time, if the resource in the ground is society's only store of wealth. This paper considers a model in which extracted resources can be converted into capital which may either be consumed or stored to provide for consumption later on. We find that a sufficient condition for the strict sequencing of extraction to be optimal is that stored capital be productive so that it can be used to produce additional capital.

This discussion begins with a review of the basic features of the Western neoclassical models of human capital and fertility and their counterparts that are employed in this study. This contrasts leads to the conclusion that the Western and Eastern models (in their contemporary forms) are basically identical. The agreement on the theoretical foundations of human capital analysis is bolstered by substantial agreement in the empirical results. The major comparative study of fertility and family in Eastern and Western Europe (UN 1976) failed to reveal a distinctive pattern of behavior for Eastern Europe other than its steeper decline in fertility since the mid 1950s. In general Soviet and Eastern European research (and Western studies) has yielded partial relationships similar to those found in Western countries. A simulatenous equation model of fertility female labor participation and marriage was specified and estimated using a combined time series cross section of Eastern European countries including the Soviet Union. Homogeneity tests required pooling over time and countries (except in the case of the participation equation) and the model was estimated using OLS 2SLS and Zellner-iterative techniques. The estimated equations revealed no major surprises. The labor supply of women was retarded by high fertility; higher wages drew additional women into the labor force; reductions in infant mortality lowered fertility; narrowing of the female wage differentials reduced fertility as did increases in marital instability. If there are surprises they were the positive impact of education upon fertility and the insignificant effect of female labor force participation on fertility. Simulations of the reduced form of the system revealed the direct and indirect effects of changes in exogenous variables and of shocks to intercepts. Forecasts of fertility female labor force behavior and marriage were made for the year 1990 on the basis of certain likely scenarios. All of these scenarios predicted further reductions in fertility and marriage rates and increases in female participation rates. The exercise suggests that there is no unique socialist model of population growth and labor force behavior suggesting instead that families behave similarly under radically different economic systems. There are reservations to this conclusion and the unexpected positive education effect on fertility and the insignificant female participation effect on fertility may suggest that differences in economic systems do matter in household decision making.