Abstract This paper presents special forms of the learning model relevant to production situations in which staffing levels constrain production for both the cumulative average case and the marginal average case. They are applicable to planning profits and cash flows and to the capital budgeting decision under simplifying assumptions about demand and working capital. In a later section. these forms have been modified to permit direct observation of effects of errors in learning model parameter estimates on profits, cash flows and internal rate of return.

Abstract Reviews the book 'The Learning Curve: A Management Accounting Tool,' by Ahmed Belkaoui.

Abstract Reviews the book "Cost Accounting," by Shane Moriarity and Carl P. Allen.

Abstract The article focuses on the measurement and reporting of the total costs associated with an explicit warranty rebate program offered on repairable products. First, it develops the various model components which describe, as a function of time, rebate and nonrebate costs. These components then are integrated into a model to measure resulting costs of a warranty rebate program and to assign these costs to separable accounting periods. Rebate costs in general arise entirely at the discretion of the firm since they are associated with promises made to buyers at the option of the firm. Their specific amounts vary with the conditions of the warranty and the actual performance of the product. However, once issued expressed warranties give rise to manufacturers' liabilities associated with their promises that certain specified standards of product quality and/or performance shall accompany the product. Given the conditions of the warranty, including a schedule of benefits available to eligible claim holders, rebate costs are determined primarily by the quantity of product sold to consumers and by the frequency of product failures during the post-sale period.

This paper assesses the ability of financial statement variables to forecast sensitivities to systematic risk factors generated by a multifactor, macroeconomic forces model. Forecasts of beta derived from financial variables are shown to outperform naive, random walk forecasts, although Bayesian-adjusted betas perform as well as the financial variables model.