Journal Article Summing up on the Australian Case for Protection Get access Paul A. Samuelson Paul A. Samuelson Massachusetts Institute of Technology Search for other works by this author on: Oxford Academic Google Scholar The Quarterly Journal of Economics, Volume 96, Issue 1, February 1981, Pages 147–160, https://doi.org/10.2307/2936145 Published: 01 February 1981
The Review of Economics and Statistics198163(4), 573
M UCH research has been done in recent years examining the differentials in earnings of men and women in particular occupations.' While these studies have contributed considerably to our understanding of this earnings gap, they tend to accept the occupations as given and do not examine the extent to which men and women have a different occupational distribution or question the reasons for it. In some types of jobs this question does not arise at the time the person enters the labor market. For example, when highly specialized skills are required, as is the case for most professions and crafts, only those trained in relevant skills are recruited. But there are many other positions at the entry level for which only general requirements, such as intelligence, literacy, motivation, or, in some cases, physical strength are needed. Theie are also many higher level positions that are filled through upgrading and promotion from the lower levels. In such labor markets employers, and perhaps employees, are likely to have considerable discretion with respect to placement of particular individuals into either a ladder-type or a dead-end job. If gender plays a significant role in this decision, any measure of achievement and rewards that is restricted to initial placement differences within job categories may seriously underestimate the effect of sex-discrimination on subsequent promotions and earnings. A number of investigations have found segmented markets for labor, each marked by differences in wages and career progression.' One study of male workers specifically noted that onthe-job training and type of starting position are crucial because they are the beginning of a dynamic process which continually affects the employee's earnings. The same study showed that starting in the high and middle skill sectors is consistently associated with higher earnings later on.3 In this paper we shall focus on the extent to which men and women are found in different entry jobs and how this affects their later earnings.4 Finding women in entry jobs which do not lead to high earnings in the long run need not be to their disadvantage if their labor force participation tends to be intermittent. It has been argued (e.g., Johnson and Stafford, 1974; Polachek, 1979) that women take jobs that pay relatively well initially but do not provide valuable training leading to great increases in earnings because they expect to drop out of the labor market in any case. This hypothesis would be supported by findings that women are paid more than men with comparable qualifications initially, and hence earn more for the limited period they expect to remain in the labor market, even though other jobs pay better later on. If, on the other hand, men earn as much or more to begin with, we cannot ascribe their higher earnings in later years to their greater willingness to invest in their own training on the job.
Linear time series models have come to dominate the macroeconomic literature on rational expectations and equilibrium business cycle theory. But the explicit solution of such models has generally required strong restrictions upon the exogenous process of stochastic shocks (e.g., temporal independence) as well as upon the values of various demand and supply elasticities. This paper exhibits a solution technique, the method of z-transforms, which does not require one to impose such restrictions. The value of this method is illustrated by applying it to completely characterize the symmetric, stationary, rational expectations equilibria of a naive linear model of land speculation. This approach also permits systematic study of the informationally asymmetric equilibria of the model. THIS PAPER develops a method for analyzing rational expectations (RE) equilibria in linear economic models. The methods I shall discuss usually enable one to determine whether or not a given model has a RE equilibrium and, if one exists, to exhibit an explicit expression for the stochastic process of equilibrium prices. The techniques apply to linear models driven by stationary processes of exogenous random shocks.
Journal of Financial and Quantitative Analysis198116(4), 515
Eric H. Sorensen, Clark A. Hawkins, On the Pricing of Preferred Stock, The Journal of Financial and Quantitative Analysis, Vol. 16, No. 4, Proceedings of 16th Annual Conference of the Western Finance Association, June 18-20, 1981, Jackson Hole, Wyoming (Nov., 1981), pp. 515-528
Journal of Financial and Quantitative Analysis198116(3), 381
The algorithm leading to a solution of the above question has been known at least since Kaplan's 1965 tutorial [5] on Sturm's theorem. The Sturm-Kaplan method has the power to count all zeros on the real axis between any two specified limits. A significant problem may arise, however, when one tries to generate the Sturmian functions which play a central part in the Sturm-Kaplan method. The rather arduous nature of the task derives from the necessity to perform several polynomial (synthetic) divisions. As the number of cash flows involved in the analysis increases, the time and effort required to determine the Sturmian functions increase as well.
Journal of Financial and Quantitative Analysis198116(4), 477
Tim S. Campbell, William A. Kracaw, Sorting Equilibria in Financial Markets: The Incentive Problem, The Journal of Financial and Quantitative Analysis, Vol. 16, No. 4, Proceedings of 16th Annual Conference of the Western Finance Association, June 18-20, 1981, Jackson Hole, Wyoming (Nov., 1981), pp. 477-492
[Let the time series Y_t satisfy extlesstex-math extgreater$Y_\t\= extbackslashalpha + extbackslashrho Y_\t-1\+e_\t\$ extless/tex-math extgreater, where Y_1 is fixed and the e_t are normal independent (0, σ ^2) random variables. The likelihood ratio test of the hypothesis that (α, ρ) = (0, 1) is investigated and a limit representation for the test statistic is presented. Percentage points for the limiting distribution and for finite sample distributions are estimated. The distribution of the least squares estimator of α is also discussed. A similar investigation is conducted for the model containing a time trend.]
Journal Article Jobs as Dam Sites Get access George A. Akerlof George A. Akerlof London School of Economics Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 48, Issue 1, January 1981, Pages 37–49, https://doi.org/10.2307/2297119 Published: 01 January 1981 Article history Received: 01 July 1978 Accepted: 01 August 1980 Published: 01 January 1981