Load management programs,cross-subsidies and transaction costs: the case of self-rationing

Load management programs are used by electric utilities to decrease peak consumption. Although they are generally offered simultaneously with regular service, economic models of their allocative efficiency are based on the implicit assumption that they are the only service available. We present a model in which participation to a particular load management program, called self-rationing, is optional. We show that, under a break-even constraint, welfare-maximizing prices involve a subsidy from the self-rationing program to regular service whenever peak demand is less elastic than base demand. If cross-subsidization is precluded, regular service is viable only if there exist transaction costs to participate in the self-rationing program.     

Modelling movie attendance with seasonality: evidence from China

High-frequency data improves the timeliness of movie attendance forecasts, but also results in the issue of seasonality. The main objective of this article is to build and test a novel movie attendance model that considers seasonality. Based on the Bass model, we combine an intertemporal demand shift pattern and the binary elements of seasonality – weekends and holidays – and propose a model called DISBM. We chose a sample of 58 movies released in China in 2013 to evaluate our proposal. The empirical results suggest that DISBM has better performance than other seasonal models. We demonstrate that the intertemporal demand shift results in weekend fluctuations, while the extra demand causes the seasonal holiday effect. The intent of this study is to better understand various movie attendance diffusions given different seasonal effects, in order to develop corresponding marketing strategies.     

我国电煤应急储备的必要性和可行性研究

我国是能源消耗大国,其中的电能主要来自火力发电,而电煤资源消耗是煤炭消耗的主要部分。由于突发性自然灾害、季节性需求变动以及价格波动等因素的影响,我国电煤供应在局部地区和局部时段会出现短缺现象,带来重大的经济损失,严重影响了我国能源应用安全。论述了电煤应急储备的内涵和相关理论,利用灰色预测模型对我国电煤需求作出了预测,同时,利用基尼系数法分析了我国煤炭分布不均衡的现象,在深入分析电煤供需现状的基础上,提出了我国建立电煤应急储备的必要性和可行性。     

基于水资源需求侧管理的水价制度探讨

价格是调整水资源供需平衡的重要经济杠杆,是引导用户合理用水和节约用水最为重要的经济手段。面对我国水资源日益紧缺的严峻形势,本文借鉴电力部门用电管理采用的需求侧管理技术,探讨了实施水资源需求侧管理的水价制度,着重分析了高峰负荷定价、论质水价在水资源需求侧管理中的作用,同时指出建立水资源需求侧管理的水价制度应该注意的几个问题。     

构建中间需求模式的制造商最优产品供应策略模型

顾客需求是厂商实施产品供应策略的核心,它存在三种不同模式：本质需求模式、非本质需求模式和中间需求模式。本文主要研究中间需求模式下制造商对个人客户制定的产品供应策略,首先构建中间需求下制造商在直接折扣和未售出处理两种供应模式下获取利润最优的数学模型,其次求解相应的最优生产量、最优定价,最后运用数值算例验证模型的有效性。     

Forecasting electricity spot prices using time-series models with a double temporal segmentation

The French wholesale market is set to expand in the next few years under European pressure and national decisions. In this article, we assess the forecasting ability of several classes of time-series models for electricity wholesale spot prices at a day-ahead horizon in France. Electricity spot prices display a strong seasonal pattern, particularly in France, given the high share of electric heating in housing during winter time. To deal with this pattern, we implement a double temporal segmentation of the data. For each trading period and season, we use a large number of specifications based on market fundamentals: linear regressions, Markov-switching (MS) models and threshold models with a smooth transition. An extensive evaluation on French data shows that modelling each season independently leads to better results. Among nonlinear models, MS models designed to capture the sudden and fast-reverting spikes in the price dynamics yield more accurate forecasts. Finally, pooling forecasts give more reliable results.     

Long-run Study of Residential Water Consumption

The estimation of dynamic models and themeasure of long-run effects arerare in residential water demand studies. Weshow in this paper that a dynamicmodel of water consumption can be derived froma structural optimisation programsolved by local communities. Thisnonlinear model is estimated on asample of French municipalities and is foundasymptotically equivalent to a dynamic panel data model that is linear in theparameters. The latter includes anoriginal error-component structure that allowsfor a flexible heterogeneity pattern, including both the usual idiosyncraticeffect, and an additional individualeffect affected by a multiplicative time-varyingparameter. As usual GMM estimators for panel data are not consistent inthis case, we propose a new GMMprocedure that yields consistent and efficientestimates of short- and long-runprice elasticities (respectively −0.26 and−0.40).     

A Tacit Monetary Policy of the Gulf Countries: Is There a Remittances Channel?

The strong economic ties between the Gulf Cooperation Council (GCC) economies and the USA are manifested in three ways: currency peg, coupling of monetary policy, and the adoption of the US dollar as the trading currency for oil. This paper examines how these dynamics result in a misalignment of the US monetary policy with the business cycles of the GCC economies. The study shows how the staggering amount of remittances outflow of the GCC economies plays a stabilizing role as a tacit monetary policy tool. Incorporating remittances in the money‐demand equation results in a more robust model than otherwise. We further find that the effect of the Federal Funds rate on money demand in these countries diminishes in significance during the period of oil boom between 2002 and 2009. However, the transmission effect of the recession periods in the USA into the demand for money in the GCC countries is not statistically significant.     

经济波动同步性、需求冲击与供给冲击——来自海湾国家的实证分析

本文运用结构向量自回归模型,将海湾六国产出的同步波动性和遭受冲击的对称性联系起来。研究发现,1977-2006年间海湾六国遭受需求冲击的对称程度要高于供给冲击,对称性的需求冲击对维持六国经济周期的同步性既显著又重要,而供给冲击的对称性对维持六国经济周期的同步性几乎没有作用;另外,本文没有发现供给和需求冲击的对称性对经济周期的同步波动有滞后影响。本文实证研究的结果对于海湾六国未来单一货币的汇率制度选择具有重要的参考意义。     

Nonlinear Exchange Rate Adjustment and the Monetary Model

Although the empirical literature has delivered evidence in favor of nonlinearities in nominal and real exchange rate adjustment, the corresponding mechanisms with respect to the relationship between nominal exchange rates and fundamentals in general have rarely been put under any close scrutiny. This paper extends the work of other authors, who estimate exponential smooth transition autoregressive models to deviations of the exchange rate from monetary fundamentals. Using monthly data from 1976:01 to 2010:12 for the USA, UK, and Japan, this paper first adopts a cointegrated vector autoregression (VAR) framework to test for the multivariate validity of the monetary model by applying restrictions on the long‐run relationships. Then, nonlinear vector error correction models are estimated to tackle the question of whether the adjustment of the nominal exchange rate with respect to those relationships follows a nonlinear path.     

Testing for nonlinearities in German bank stock returns

In this paper nonlinear structures in German bank stock returns are investigated in a stochastic modelling framework. In the first step we show the existence of a nonlinear return structure by means of the McLeod-Li and the BDS test. In the second step we focus our analysis on the kinds of nonlinearity actually present in bank stock data. On the basis of the Hsieh test it is possible to discriminate with high power additive from multiplicative dependencies to provide guidance for the choice of an adequate class of stochastic models. It is shown that the multiplicative dependencies predominating the bank stock returns can be captured by low order GARCH models.     

Is there a Laffer curve between aggregate output and public sector employment?

This paper develops a model of the relationship between public sector employment, total output and aggregate real demand in market prices, where public employment has a positive productivity effect on private output. Public employment crowds out private employment and output because its increase induces higher wages and taxes. The valuation of government output is also taken into account. While public employment affects total output and aggregate real demand in an a priori ambiguous way, numerical simulations suggest that the relationship may be nonlinear; positive, when public sector is “small” and negative, when it is “large”. Using the annual data from 22 OECD countries over the period 1960–1996 and estimating and testing for threshold models and more commonly used specifications with multiplicative interaction terms give support to this nonlinearity hypothesis between public employment and private sector output. First version received: October 1996/Final version received: April 2000     

Study on Relation between Industrial Structure and Grid Load in Shanxi Province

The section of electric power is the foundation of national economy. The paper analyzes the relation between industrial structure and grid load in Shanxi province, and finds out that electricity demand and grid load relate linearly to value added of industry. In the end, the paper predicts electricity demand and grid load via the model.     

Evidence on nonlinear error correction in money demand: the case of Taiwan

This paper proposes a nonlinear error-correction model based upon smooth transition regression methodology. The model is specified such that the short-run adjustment toward long-run equilibrium is nonlinear and that the error correction is a smooth function of long-run deviation. Empirical results obtained from estimating M2 money demand in Taiwan support the hypothesis of a nonlinear error-correction process and provide better interpretation of change in the demand for money.     

Dynamic specification of demand functions: A cointegration approach

The single-equation approach has been commonly used in the studies of energy demand. However, as most of the data used in the energy demand model are unlikely to be stationary, this factor has to be taken into account when estimating the demand behavior. To overcome this problem, the authors have applied the cointegration and error-correction models to model Chinese coal consumption data. In order to contrast their performance with such traditional models as Hendry's general-to-specific approach, a forecast error comparison exercise has been conducted. In terms ofex post forecast errors, the Engle-Granger error correction model outperforms other chosen models. By using the Engle-Granger approach, it is possible to obtain important information about the behavior of coal demand in China.     

Modelling nonlinearity in U.S. Gross national product 1889–1987

This paper considers modelling the annual logarithmed per capita gross national product of the United States in 1889–1987. Some authors have suggested that the parameters of the process generating the data have changed over time but formal parameter constancy tests do not support this argument. The series turns out to be nonlinear and can be adequately characterized by an exponential smooth transition autoregressive model. For comparison, a detrended series is also considered, found nonlinear and modelled using a logistic smooth transition autoregressive model. The behaviour of the estimated models is discussed, and it is seen that nonlinearity is needed to describe the response of the process to exceptionally large exogenous shocks. The properties of the models are further investigated by forecasting several years ahead, and the forecasts are compared with those from other linear and nonlinear models.     

A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices

This paper proposes a new GMM estimator for spatial regression models with moving average errors. Monte Carlo results are given which suggest that the GMM estimates are consistent and robust to non-normality, and the Bootstrap method is suggested as a way of testing the significance of the moving average parameter. The estimator is applied in a model of English real estate prices, in which the concepts of displaced demand and displaced supply are introduced to derive the spatial lag of prices, and the moving average error process represents spatially autocorrelated unmodelled variables.      

Time-varying threshold cointegration and the law of one price

A theoretical model of the law of one price which allows for seasonality in transaction costs and supply and demand conditions between markets is developed. Bivariate three-regime threshold vector error correction models are applied to natural gas markets to examine seasonality in threshold levels. Results indicate that there are nonlinear adjustments to the law of one price in seven pair-wise markets (Chicago is used as the base market). In the natural gas sector, dynamic threshold effects relative to the Chicago market vary depending on season, geographical location and whether the market is an excess producing or consuming market.     

Lunacy in the Stock Market—What is the Evidence?

Popular culture and folklore have long recognized the influence of the lunar cycle on plant, animal, and human behavior. Many of the effects have been validated in the physical and biological sciences. However, until recently such effects have been largely, if not completely ignored in the academic literature of financial economics. This study aims to contribute to answering whether there is, as some claim, a lunar influence on stock prices or volatility. The findings of this work support the Efficient Markets Hypothesis—no consistent, predictable lunar influence is found on either daily returns or daily price volatility in the Dow Jones Industrial Average, for either new or full moons. Some effects are found, but not consistent or predictable with lunar and calendar information alone.      

The treatment of seasonality in error correction models as unobserved component: a case study for an Austrian consumption function

This paper deals with an alternative approach to treating seasonality in error correction models for consumption with a parsimonious parameterization as proposed by Harvey and Scott. We introduce an unobserved seasonal component into an error correction model for Austrian consumer expenditures on nondurables and services and compare the results with different approaches. The use of stochastic seasonal results in a definite improvement of the estimated model. First version received: October 1997/Final version received: May 2000