Estimating Key Economic Variables: The Policy Implications

The current monetary policy debate has focused on current estimates and the future path of the natural rate of unemployment and the equilibrium interest rate. Estimates of the natural rate of unemployment should vary over time with changes in demographics and improvements in human capital. However, these changes should be gradual. This paper shows that the estimates of the natural rate of unemployment by Federal Reserve officials and private-sector economists seem to move pro-cyclically, potentially showing too much weight given to short-term fluctuations in economic variables. As with the natural rate, there are good reasons to expect the equilibrium interest rate to change over time. In fact, the level may actually be more responsive to current economic data, reflecting changes in aggregate savings and investment. Yet, we see that equilibrium interest rate estimates by both Federal Reserve officials and private-sector economists have declined quite dramatically over the past five years. A potential concern raised in this paper is that estimates of these critical economic variables for policy determination appear to be overly sensitive to high frequency economic data.     

Analysis of the Efficacy of Public Spending on Research and Development in State Programs

This paper presents an approach to assessing the efficacy of public spending on research and development in state programs. At present, there is a need to develop a unified approach to the analysis and evaluation of the efficacy of such spending from the perspective of participants in state programs (federal executive bodies). The proposed approach does not allow evaluating the efficacy of public spending on the development of research areas assigned to the authors.     

Modeling the Interdependence of the Economy and Power Industry Based on Multiplicative Two-Factor Functions

The paper has studied the change in the electric intensity of the Russian economy over the past 25 years. Equations have been constructed that correlate the electricity consumption with GDP (GVA for key economic sectors) and investment volume. The influence of structural changes and power consumption in particular sectors, as well as the modernization of the key economic sectors on the dynamics of the Russian economy electric intensity, has been identified.     

Development and the mystification of ‘cultural factors’: One destiny: Our common future in Africa,by A S van Niekerk

In One destiny: Our common future in Africa the author relates, in popular fashion, a series of incidents which convinced him that the basic difference between black and white in South Africa is cultural deep‐seated and the cause of underdevelopment and conflict He develops a circular argument in which world‐view is taken as the root of perceptions, values and activities. The effects of experience and economic and political factors are given secondary importance. This argument cannot accommodate social change and differentiation, and the author tends to concentrate on perceptions and events which he finds morally unacceptable. He gives an unbalanced assessment and an ethnocentric interpretation of African life. Possible reasons for this type of argument are explored and an alternative which takes its departure from the interaction between experience and perception is offered     

Value Orientations, Income and Displacement Effects, and Voluntary Contributions

Identifying the value orientations of subjects participating in market or non-market decisions by having them participate in a ring game may be helpful in understanding the behaviour of these subjects. This experiment presents the results of changes in the centre and the radius of a value orientations ring in an attempt to discover if the measured value orientations exhibit income or displacement effects. Neither significant income effects nor displacement effects are identified. An external validity check with a voluntary contribution game provides evidence that value orientations from rings centred around the origin of the decision-space explain significant portions of voluntary contributions while value orientations from displaced rings do not.     

DEFINING AND OPERATIONALIZING SUPPLY CHAIN PROCESS INTEGRATION

Integration has been recognized as critical to successful supply chain management. However, an extensive literature review revealed no consensus in its conceptualization. The current study attempts to address this research gap by providing a better definition and operationalization of supply chain process integration. With empirical support, it is proposed that internal and external supply chain process integration should be treated as two separate constructs, each comprised of two dimensions: connectivity and simplification.     

The contextual nature of the predictive power of statistically-based quarterly earnings models

We present new empirical evidence on the contextual nature of the predictive power of five statistically-based quarterly earnings expectation models evaluated on a holdout period spanning the twelve quarters from 2000–2002. In marked contrast to extant time-series work, the random walk with drift (RWD) model provides significantly more accurate pooled, one-step-ahead quarterly earnings predictions for a sample of high-technology firms (n = 202). In similar predictive comparisons, the Griffin-Watts (GW) ARIMA model provides significantly more accurate quarterly earnings predictions for a sample of regulated firms (n = 218). Finally, the RWD and GW ARIMA models jointly dominate the other expectation models (i.e., seasonal random walk with drift, the Brown-Rozeff (BR) and Foster (F) ARIMA models) for a default sample of firms (n = 796). We provide supplementary analyses that document the: (1) increased frequency of the number of loss quarters experienced by our sample firms in the holdout period (2000–2002) vis-à-vis the identification period (1990–1999); (2) reduced levels of earnings persistence for our sample firms relative to earnings persistence factors computed by Baginski et al. (2003) during earlier time periods (1970s–1980s); (3) relative impact on the predictive ability of the five expectation models conditioned upon the extent of analyst coverage of sample firms (i.e., no coverage, moderate coverage, and extensive coverage); and (4) sensitivity of predictive performance across subsets of regulated firms with the BR ARIMA model providing the most accurate predictions for utilities (n = 87) while the RWD model is superior for financial institutions (n = 131).

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