Forecasting demand for electricity in Maryland: An econometric approach

Most of the models for forecasting demand for energy are based on simple extrapolations of past trends or on a simple regression equation with price of the energy and the stock of appliances as explanatory variables. In this paper, an attempt has been made to derive static and dynamic multiple regression equations from economic theory of consumption and production (Section II). Historical data were fitted to these theoretical constructs to test the equations in terms of econometric theory and forecast the demand according to “higher order conditional interval forecasts”. The residential demand for electricity is a function of its price, price of its substitute, per capita income and a lagged demand variable for dynamic adjustment of actual demand to equilibrium demand for electricity. The forecasts of residential demand to 1990 are based on projections of exogenous variables such as residential price of electricity, per capita income and the estimated long run elasticity of demand (Section III). The nonresidential demand for electricity is a function of employment in that sector, sectoral prices of electricity and the lagged sectoral demand. The forecasts of nonresidential electricity demand are also based on projections of its independent variables (Section IV). The last section converts the total demand for electricity into the required generating capacities and juxtaposes them against the estimates of expected supplies available from the forecasts of the utilities. The paper concludes that the eighties will be faced with excess supply of electricity in Maryland, in case the assumptions of projections of independent variables hold good. The misallocation of resources inherent in such excess supplies could be avoided if realistic scenerios of future demand, as attempted in this paper, could be predicted.     

Globally evolutionarily stable portfolio rules

The paper examines a dynamic model of a financial market with endogenous asset prices determined by short-run equilibrium of supply and demand. Assets pay dividends that are partially consumed and partially reinvested. The traders use fixed-mix investment strategies (portfolio rules), distributing their wealth between assets in fixed proportions. Our main goal is to identify globally evolutionarily stable strategies, allowing an investor to “survive,” i.e., to accumulate in the long run a positive share of market wealth, regardless of the initial state of the market. It is shown that there is a unique portfolio rule with this property—an analogue of the famous Kelly rule of “betting your beliefs.” A game theoretic interpretation of this result is given.     

The analysis of a price war strategy under market demand growth

We use the finite repeated Prisoners' Dilemma game model herein to discuss how firms choose their optimal strategy under a price war with market demand growth. This model has two players: one is an R-type player and the other is a TFT-type player. Each player has two strategies to choose from: a preemption strategy and a “wait” strategy. Our results indicate that: (i) if the probability that the opponent is an R-type (TFT-type) player is high, then the time when the opponent adopts a preemption strategy will be early (late); (ii) Market demand growth is an incentive for cooperation among firms; (iii) if the market demand growth rate is high, then the R-type player will not have an evolutionary advantage. We use the competition between cell phone manufacturing firms Nokia and Motorola in China as an example. When Nokia is an R-type player and adopts a preemption strategy, Motorola should preferably use a preemption strategy rather than a “wait” strategy. However, as a TFT-type player, this will benefit Motorola under the situation of market demand growth.     

Electrification and energy productivity

Energy productivity is crucial for sustainable development. We use cointegration analyses to investigate the effect of electricity on energy productivity in Swedish industry from 1930 to 1990. Electricity augmented energy productivity in those industrial branches that used electricity for multiple purposes. This productivity effect goes beyond “book-keeping effects,” i. e. it is not only the result of electricity being produced in one sector (taking the energy transformation losses) and consumed in another (receiving the benefits).     

Forecasting and planning in an incoherent context

What follows concerning the predicament of forecasts and planning is subject to the same criticisms and constraints I apply to them and their context. My observations are also forecasts: stories based on arbitrary and fragmentary images of social “reality” and my words share the same dubious status as words per se that I shall describe later. But all of us are sinking in this ontological and epistemological swamp: To paraphrase the Tao Te Ching, those who know can not say: those who say do not know. So be it.     

Green consumers and public policy: On socially contingent moral motivation

“Green” consumers appear to accept individual responsibility for the provision of public goods. The propensity to take such responsibility may depend on beliefs about others’ behavior, even for consumers motivated by internalized moral norms, not by social sanctions. This effect can produce multiple equilibria with either high or low demand for “green” products. Permanent increases in green consumption may be achieved by imposing temporary taxes or subsidies, or through advertising that influences beliefs about others’ behavior or about external effects. If a tax is interpreted as taking responsibility away from the individual, however, taxes can reduce the influence of moral motivation.     

An introduction to nanotechnology policy: Opportunities and constraints for emerging and established economies

Nanotechnology has captured wide attention all over the world and excited the imagination of young and old alike. Interest in the subject has increased remarkably during the last few years because of potential technological applications, and commercial interest has skyrocketed. The promise of nanotechnology as an economic engine that can redefine the wellbeing of regions and nations is pervasive; yet the imprecise language, and overuse of the term nanotechnology, has made that term fuzzier, broader, and trendier than many imagined possible. This is especially evident in nanotechnology market projections, which rose dramatically over the past five years as more traditional “product families” were engulfed by the expanding use of the term. Government policy regarding nanotechnology has often resembled an embrace of imagination rather than a systematic use of what Sun Tzu and others have taught about strategic decision making. Further, if nanotechnology is truly the next wave of technology product paradigms, how will we provide an educated workforce to support it? Moreover, in company with these societal benefits come increased societal risks. This paper is intended to provide policy makers and strategists with observations that might limit actions such as those that led to the “over-hype” of nanotechnology and to the fear (or discounting) of societal risks. In the latter case we might learn from the experiences of policy makers connected with other emerging enabling-technology bases, such as nuclear energy and, to a lesser extent, the “dot-com” boom.     

Microeconomic modeling of parallel markets: The case of agricultural goods in the USSR

In a centrally planned economy, non-market-clearing prices fixed by the state cannot be used directly to estimate consumer behavior models. This paper represents an attempt to overcome this problem by utilizing prices in a parallel “free” market. An equilibrium model incorporating parallel markets is discussed and a demand curve arising from this model is estimated using data for the markets for meat and milk in the USSR. the price and income elasticities of demand for these goods are found to be significantly higher than those estimated for the United States.     

A note on the speculative demand for money

In the General Theory, Keynes argued that expectations about future bond prices tend to be “sticky”. A rise in bond prices causes more investors to “join the bear brigade” and so increases the aggregate demand for money. Since Tobin's classic article on liquidity preference, this explanation of the downward sloping demand for money curve has largely disappeared from the literature. This note introduces sticky expectations into the Tobin framework. It shows that the existence of such stickiness does not necessarily cause the demand for money to be more elastic because investors have expectations about the variance of future bond prices as well as about their mean. A sufficient condition for a more elastic demand for money under sticky expectations is that the Pratt-Arrow coefficient of relative risk aversion be either constant or decreasing in wealth.     

Bayesian updates using precursor events

It is common practice among technological forecasters to use precursor events to anticipate technological change. However, the information obtained from precursor events is usually qualitative in nature. A previous paper demonstrated that information about prior “similar” innovations can be used to generate a probability distribution of lag times between a precursor event and the event to be forecast, thus making the forecasts more quantitative. This paper presents a method for using Bayes' Equation to update probability distributions of lag time using the occurrence of additional precursor events.     

The fading 1990s in Japan: Driving forces behind the unemployment upsurge

This paper sheds new light on the causes of the unemployment upsurge in Japan during the “fading 1990s”, an unprecedented period of structural crisis. We estimate a labor market model and identify the main macroeconomic determinants of labor demand and labor supply decisions in the last decades. We then conduct dynamic simulations and assess the relative contribution of these determinants to the evolution of unemployment from 1990 to 2002. Beyond the leading role exerted by the decline in productivity growth, we find the active and expansionary measures undertaken by the government had an overall negative effect on the labor market.     

Nuclear future - A case of method bias?

This study points out major errors in an article published in this journal by Nitta and Yoda [1] titled, “Challenging the Human Crisis: ‘The Trilemma.’” Nitta and Yoda forecast a nuclear future based on assumptions of a high energy demand, scarce oil reserves, and a low potential of renewable energy sources. The validity of these assumptions is analyzed, and they are found inaccurate. Nitta and Yoda also use different forecasting techniques for different technologies that encourage the prospects of nuclear power and discourage the future of solar energy. No arguments are provided for the different choices of forecasting methods. When discussing future alternatives, the approach taken is of vital importance, because the method itself often affects the result.     

An equilibrium model of a second economy market in a centrally planned economy

We study a CPE in which an identical good is sold on the official market (OM) and a “second economy” market (SEM ). Planners set parameters. Managers divide inputs between markets to maximize expected utility of wealth. Consumers are expected utility maximizers who purchase the good on the OM or SEM. On the OM, excess demand exists at the non-Walrasian price; delivery date is stochastic. The SEM offers immediate availability. Our solution concept involves the rational expectations of managers, the consistency of consumers' decisions, and a market-clearing SEM. We solve for SEM price and supply and investigate various comparative statics.     

Technological forecasting and assessment: Science and/or mythology?

A number of radically distinct models (inquiry systems) are described. The models derive from C, West Churchman's recent characterization of the history of Western epistemology. It is argued that only a few of these models are appropriate for technological forecasting problems. Most technological forecasting methodologies rest on a dubious philosophical foundation. They unreflectively assume that the inquiry systems which are appropriate for “well-structured” problems are also appropriate for “ill structured” problems. It is argued that technological forecasting is an inherently ill-structured problem and therefore requires a methodology which is uniquely suited to such problems. The Dialectical and Singerian Inquiring Systems are proposed as particularly appropriate for ill-structured problems.     

Government spending, capital accumulation and the optimal policy rule: The role of public service capital

In this paper, we modify the Djajić [Djajić, S., 1987. “Government Spending and the Optimal Rates of Consumption and Capital Accumulation,” Canadian Journal of Economics 20, 544–554.] model in such a way that government consumption expenditure provides utility to households via the total stock of government services rather than the government consumption flow alone. By using such a framework, we show that the optimality condition for the public service capital stock is the marginal rate of substitution between public service capital and consumption that equals the intertemporal marginal rate of transformation between the two goods. In addition, we show that the relationship between private consumption and public service capital in a household's utility plays an important role in determining the transitional behavior of relevant variables. We also examine the second-best government consumption expenditure policy. By contrast, in the standard flow specification, e.g., Turnovsky and Brock [Turnovsky, S.J. and Brock, W.A., 1980. “Time Consistency and Optimal Government Policies in Perfect Foresight Equilibrium,” Journal of Public Economics 13, 183–212.], Ihori [Ihori, T., 1990. “Government Spending and Private Consumption,” Canadian Journal of Economics 23, 60–69.], and Turnovsky and Fisher [Turnovsky, S.J. and Fisher, W.H., 1995. “The Composition of Government Expenditure and its Consequences for Macroeconomic Performance,” Journal of Economic Dynamics and Control 19, 747–786.], the second-best government consumption expenditure is decided on the basis that the marginal utility of consumption is equal to the discounted sum of the marginal utility of the government's flow spending.     

Disequilibrium macroeconomics, money as a buffer stock and the estimation of money demand

Standard explanations of the seeming instability of the money demand in the post-1973 period usually link to stories about financial innovation and deregulation. I propose an alternative hypothesis: Much of the seeming instability occurs because of shifts in monetary policy, either explicit or implicit, in an environment where the Federal Reserve controls a more “exogenous” money stock. My econometric analysis modifies existing methods for estimating markets in disequilibrium and incorporates newly developed cointegration and error-correction modeling. My findings provide support for the buffer-stock interpretation of the money market.     

Monopolists and viscous demand

We characterize the optimal dynamic price policy of a monopolist who faces “viscous” demand for its services. Demand is viscous if it adjusts relatively slowly to price changes. We show that with the optimal policy the monopolist stops short of achieving 100% market penetration, even when all of the consumers have the same long-run willingness to pay for the service. Furthermore, for certain parameter values in the model, the price policy requires rapid oscillations of the price path.     

Leaders in change : Solar energy owners and the implications for future adoption rates

Information on the characteristics of the initial wave of homeowners who installed solar energy systems is presented and then used to anticipate future solar market penetration patterns. Surveys of these adopters reveal high education and income levels; professional and executive occupations; economic, energy saving, and environmental concern as the principal purchase motivations; and high satisfaction levels. As a group, these individuals conform to the “early adopter” type identified in innovation diffusion research rather than the “innovator” type that would be expected at this early stage of commercialization. This characteristic, the influence of economic motivations, owners' high satisfaction levels, and the findings of other surveys indicate that widespread solar system adoption is probable if the initial high cost barrier can be reduced.     

An interactive computer-based approach to aid group problem formulation

The size, cost, and complexity of quantitative modeling in the social and physical sciences demand that the modeler focus attention on premodeling phases of analysis, specifically on formulation and definition of “problems.” This is especially true in the “softer” or less “well-structured” problem areas of futures research and technology assessment. At this stage of modeling, a key factor is communication among modelers. This paper briefly discusses approaches to classifying and formulating problems that illustrate the role of communication in modeling. It then describes a computer-based communication system as one possible aid in the problem-formulation process.