A pre-estimation sample separation method for a labor market in disepuilibrium

The paper presents a method for separating the sample on wage rate and labor input for a labor market in disequilibrium prior to the estimation stage. It is shown how the method's economic rationale stems from the existence of Keynesian unemployment, which implies a combination of real wage and labor input off the notional labor demand and supply curves. The potential usefulness of the method for generating unbiased estimates of wage elasticities of labor demand and labor supply is demonstrated on annual U.S. data.     

An index of growth due to depreciation*

Abstract. While factors such as inflation, technological change and growth often have been discussed in connection with the adequacy of provisions for depreciation under a historical cost model, there is another dimension to the capital maintenance problem and it concerns the multiplier effect of depreciation. When an amount equal to depreciation is reinvested, a firm's productive capacity tends to increase. Reinvestment of depreciation also increases a firm's financial capital if book depreciation is more accelerated than economic depreciation. Based on a model developed by Ijiri (1967), this paper derives an index of this growth due to depreciation. The index estimates a bias in conventional depreciation methods that has been overlooked in the literature on the subject. This bias has implications for inflation accounting because if conventional depreciation methods have a built-in growth bias, adjustments for inflation may be a type of double counting. A second implication mentioned concerns the bias in accounting rates of return. Résumé. Bien que des facteurs tels l'inflation, les changements technologiques et la croissance ont souvent été examinés à propos de la pertinence des provisions pour dépréciation dans le cadre du modèle au coût historique, un autre aspect du problème de préservation du capital subsiste et il concerne l'effet multiplicateur de l'amortissement. Lorsqu'un montant égal à l'amortissement est réinvesti, la capacité d'exploitation de la firme a tendance à s'accroître. Le réinvestissement de l'amortissement fait aussi augmenter le capital de la firme si l'amortissement comptable est plus accéléré que la dépréciation économique. En se basant sur un modèle élaboré par Ijiri (1967), cet article dérive un indice de cette croissance attribuable à l'amortissement. L'indice estime un biais des méthodes traditionnelles, qui a été négligé dans les recherches consacrées au sujet. Ce biais a des implications en comptabilité des effets de l'inflation, car si les méthodes d'amortissement traditionnelles comportent implicitement ce biais de croissance, les redressements relatifs à l'inflation peuvent être assimilés à un double comptage. Une deuxième conséquence est signalée, soit le biais relatif aux taux de rendement comptable.     

THE EFFECT OF A SINKING FUND ON THE REOFFERING YIELDS OF NEW PUBLIC UTILITY BONDS

In this study, empirical tests are conducted to determine the impact of a sinking fund on reoffering yields of a sample of new public utility bonds sold between January 1977 and March 1982. The findings of the regression analysis are consistent with the hypotheses that the value of the sinking fund varies with the default risk of the issuer and with market expectations of future interest rate movements, and that the sinking fund improves the liquidity of a bond issue.     

Assessing the competitive power of a region

The paper explores theoretical approaches to estimating a region’s competitiveness and its underlying factors. The competitive power indicators of the economic complex of Mogilev oblast, Belarus, are analyzed and its regional competitiveness is estimated on the basis of statistical data.     

Generalized DEA model of fundamental analysis and its application to portfolio optimization

Fundamental analysis is used in asset selection for equity portfolio management. In this paper, a generalized data envelopment analysis (DEA) model is developed to analyze a firm’s financial statements over time in order to determine a relative financial strength indicator (RFSI) that is predictive of firm’s stock price returns. RFSI is based on maximizing the correlation between the DEA-based score of financial strength and the stock market performance. This maximization involves a difficult binary nonlinear program that requires iterative re-configuration of parameters of financial statements as inputs and outputs. We utilize a two-step heuristic algorithm that combines random sampling and local search optimization. The proposed approach is tested with 230 firms from various US technology-industries to determine optimized RFSI indicators for stock selection. Then, those selected stocks are used within portfolio optimization models to demonstrate the usefulness of the scheme for portfolio risk management.