An investigation into the interdependence of global water indices: a VAR analysis

We investigate the extent and manner of equity price interdependence among four water indices – World Water Index, S-Network Global Water index (S-Net), S&P Global Water Index (S&P) and MSCI ACWI Water Utilities Index (MSCI ACWI) using the vector autoregression (VAR) framework for the period 2004–2014. We also employ methods of Granger causalities, variance decomposition and impulse responses. We find Granger causality significance between S-Net and MSCI ACWI and S-Net and S&P indices at the 1% level of significance, suggesting that the indices are significantly linked. Further, S-Net is the most influential index amongst them in the forecast variance that can be accounted by S-Net at level of 55.75%. Our study indicates that the four water indices are interdependent and related, so the water indices are influenced by movements in the other water indices.     

Efficient delays in a stochastic model of bargaining

Summary. We consider a k-player sequential bargaining model in which both the cake size and the identity of the proposer are determined by a stochastic process. For the case where the cake is a simplex (of random size) and the players share a common discount factor, we establish the existence of a unique stationary subgame perfect payoff which is efficient and characterize the conditions under which agreement is delayed. We also investigate how the equilibrium payoffs depend on the order in which the players move and on the correlation between the identity of the proposer and the cake size.Received: November 5, 1996; revised version: December 31, 1996This revised version was published online in February 2005 with corrections to the cover date.     

An analysis of wine and food consumption dynamics in Japan using a vector error correction model

This article provides an analysis of long-term equilibrium relationships between wine and food-related consumptions in Japan through the vector error correction model. Utilizing longitudinal data from 1970 to 2009, the analysis suggests that wine consumptions and food-related consumptions are co-integrated. The investigation of orthogonal impulse response functions suggests that food-related items, such as bread, vegetables and eating out are positive factors for wine consumptions. With the expansion of wine consumption and diversification of food consumption patterns, wine is deemed to have gained its place in Japanese ordinary life, regardless of the general state of economy. The estimated results also provide a supporting evidence for previous cross-sectional study findings by others that wine consumers tend to have healthier diet. Despite the downward forecasts for economic performance and some food items, wine consumption is predicted to grow continuously.     

On capital accumulation paths in a neoclassical stochastic growth model

Summary. Boldrin and Montrucchio [2] showed that any twice continuously differentiable function could be obtained as the optimal policy function for some value of the discount parameter in a deterministic neoclassical growth model. I extend their result to the stochastic growth model with non-degenerate shocks to preferences or technology. This indicates that one can obtain complex dynamics endogenously in a wide variety of economic models, both under certainty and uncertainty. Further, this result motivates the analysis of convergence of adaptive learning mechanisms to rational expectations in economic models with (potentially) complicated dynamics. Received: June 21, 1996; revised version: October 31, 1996     

On bubbling dynamics generated by a stochastic model of herd behavior

This paper suggests a class of stochastic collective learning processes exhibiting very irregular behavior. In particular, there are multimodal long run distributions. Some of these modes may vanish as the population size increases. This may be thought of as “bubbles” persistent for a finite range of population sizes but disappearing in the limit. The limit distribution proves to be a discontinuous function of parameters determining the learning process. This gives rise to another type of “bubbles”: limit outcomes corresponding to small perturbations of parameters are different. Since an agent's decision rule involves imitation of the majority choice in a random sample of other members of the population, the resulting collective dynamics exhibit “herding” or “epidemic” features. RID="*" ID="*" We are grateful to two anonymous referees for the comments and suggestions. Correspondence to: L. Gaio     

基于通胀压力分析政府救市政策的退出

在国际金融危机中,我国政府出台了大规模的救市计划以应对冲击.而在后金融危机时期,由于一些宏观经济因素发生变化,例如通货膨胀压力增大等,政府救市政策自然应逐步退出.笔者选择基于防范通货膨胀的视角来分析政府应如何选择最佳的救市政策退出方式,通过建立脉冲响应函数,分析金融危机中三类主要的政府救市政策即财政政策、货币政策和流动性政策对通货膨胀率的影响,并根据三类救市政策不同的影响力度和滞后期,判断其合理的退出方式.     

An extension of the asymmetric causality tests for dealing with deterministic trend components

This article extends the asymmetric causality tests, as developed by Hatemi-J (2012), for dealing with deterministic trend parts. It is shown how integrated variables up to three degrees with deterministic trend parts can be transformed into positive and negative cumulative partial components. These cumulative components can be used for implementing the asymmetric causality tests based on a Wald test statistic that is shown to follow a chi-square distribution asymptotically. Each solution is expressed as a proposition and a mathematic proof is provided for each underlying proposition. This issue is important because most economic or financial variables seem to be characterized by both stochastic as well as deterministic trend parts. An empirical application is provided in order to show how the oil prices and the exchange rates as integrated variables with drift and trend can be transformed into cumulative partial sums of positive and negative components. The conducted causality tests reveal that allowing for asymmetry has important repercussions for the underlying causal inference between these two variables.     

Human settlement＇s social network analysis based on spatial trend surface model：a case study of Chongqing Municipality

Integrated with GIS and remote sensing（RS） technology,a systematic analysis and its methodology for human-settlements social environment has been introduced.This methodology has been called spatial trend field model（STFM）.STFM＇s application history in the field of human-settlements social environment has been discussed at first.Then,some index data models have been created through STFM,which include population density trend field,human activity strength trend field,city-town spatial density trend field,urbanization ratio trend field,road density trend field,GDP spatial density trend field and PER-GDP spatial density trend field.With all above-mentioned indexes as input data,through Iterative Self-Organizing Data Analysis Techniques Algorithm（ISODATA）,this paper makes a verification study of Chongqing municipality.The result of the case study confirms that STFM methodology is credible and has high efficiency for regional human-settlements study.     

现代物流与经济增长的VAR模型分析

本文在建立VAR模型的基础上，运用脉冲响应函数和预测方差分解来刻画现代物流发展与经济增长关系的相关性。研究结果表明，我国的现代物流发展与经济增长之间存在着较强的正向相关性。因此，在当前条件下，加速推进现代物流发展是持续促进经济增长的重要路径选择。     

A common trends model of UK core inflation

In this paper the long-run trend in RPI inflation (core inflation) for the UK over the 1961–1997 period is estimated within the framework of a multivariate common trends model which extends the bivariate VAR approach of Quah and Vahey (1995). In this context core inflation is directly linked to money and wage growth and interpreted as the long-run forecast of inflation from a small-scale, cointegrated macroeconomic system. First version received: September 1999/Final version received: October 2001 RID="*" ID="*"  We thank two anonymous referees for many helpful comments and suggestions. Work on this paper was partially conducted when C. Morana was at Heriot-Watt University.     

货币政策行业效应研究——基于铜陵市实证分析

货币政策一直是学术上研究的热点,多年来经过国内外众多学者对货币政策的不断探讨,方向逐渐趋于多元化。就行业效应来说,国内外学者的研究方法和理论基础趋于成熟,且研究的角度也是更加丰富和完善。从城市的角度入手,通过实证分析研究行业效应是否适用于微观城市主体,探讨引起行业效应的原因。实证分析结果表明,货币政策非对称性是存在的,并且不同的行业其货币政策效果不同。行业的异质性、发展能力以及运行能力都与该效应产生的原因有关。     

Small noise asymptotics for a stochastic growth model

We develop analytic asymptotic methods to characterize time-series properties of nonlinear dynamic stochastic models. We focus on a stochastic growth model which is representative of the models underlying much of modern macroeconomics. Taking limits as the stochastic shocks become small, we derive a functional central limit theorem, a large deviation principle, and a moderate deviation principle. These allow us to calculate analytically the asymptotic distribution of the capital stock, and to obtain bounds on the probability that the log of the capital stock will differ from its deterministic steady-state level by a given amount. This latter result can be applied to characterize the probability and frequency of large business cycles. We then illustrate our theoretical results through some simulations. We find that our results do a good job of characterizing the model economy, both in terms of its average behavior and its occasional large cyclical fluctuations.     

On the relative importance of demand and supply shocks: a panel VAR study for US states

This article is a panel VAR study of demand and supply shocks in the USA using state-level data where structural shocks are decomposed into state idiosyncratic and common components. Decomposition suggests that in all instances, idiosyncratic state shocks rather than common shocks have larger impact and explain most variation in both the state-level unemployment rate and real gross state product. Further, demand shocks are the primary driving force in unemployment rate fluctuations, while both demand and supply are important in output movements to varying degree of impact and importance depending on the use of quarterly or annual data.     

优化外商直接投资结构的研究——基于行业FDI数据的VAR模型

根据1990—2010年全国国内生产总值（GDP）、FDI在制造业的投资额（FM）、FDI在服务业的投资额（FS）、FDI在房地产业的投资额（FRE）及在教育领域的投资额（FE）的统计数据进行基于VAR模型的实证分析,认为长期看,外商在制造业的投资额（FM）和在服务业的投资额（FS）的增加导致全国GDP的增加,外商在房地产业的投资额（FRE）以及在教育领域的投资额（FE）与GDP反向变动;短期看,对全国经济发展的短期影响程度由高到低,依次是FDI在服务业的投资额（FS）、在制造业的投资额（FM）和在教育领域的投资额（FE）以及在房地产业的投资额（FRE）。建议以国务院颁布的《外商投资产业指导目录》为导向,积极利用外资及优化外商投资结构,在发挥外资对我国经济的积极推动作用的同时尽量减少外资的负面影响。     

Efficiency measurement using a latent class stochastic frontier model

Efficiency estimation in stochastic frontier models typically assumes that the underlying production technology is the same for all firms. There might, however, be unobserved differences in technologies that might be inappropriately labeled as inefficiency if such variations in technology are not taken into account. We address this issue by estimating a latent class stochastic frontier model in a panel data framework. An application of the model is presented using Spanish banking data. Our results show that bank-heterogeneity can be fully controlled when a model with four classes is estimated. This paper was written during Luis Oreas visit to Binghamton University in the summer of 2002. We would like to thank an associate editor of the journal and two anonymous referees for their detailed comments. However, we alone are responsible for any remaining errors.     

An investigation into sexual orientation discrimination as an explanation for wage differences

This study explores the effects of sexual orientation on earnings. It is found that, ceteris paribus, men living with male partners tend to earn less than other men, and women living with female partners tend to earn more than other women. These earnings differentials tend to vary by region. They also vary by education and occupation for men, and with the presence of minor children for women. In addition, the age-earnings profiles of women living with female partners tend to be higher, flatter, and less concave than those of other women.     

Welfare cost of inflation in a stochastic balanced growth model

There is a large and growing literature on the welfare cost of inflation. However, work in this area tend to find moderate estimates of welfare gains. In this paper we reexamine welfare costs of inflation within a stochastic general equilibrium balanced growth model paying a particular attention to recursive utility, portfolio balance effects, and monetary volatility and monetary policy uncertainty. Our numerical analysis shows that a monetary policy that brings down inflation to the optimum level can have substantial welfare effects. Portfolio adjustment effects seem to be the dominant factor behind the welfare gains.     

外部冲击视角下的中国寿险需求分析——基于向量自回归模型及脉冲响应函数的动态计量检验

使用VAR模型和脉冲响应函数,从外部冲击视角分析显示:农民收入以及社会保障体系是影响中国寿险需求的主要因素.一般而言,社保和商业寿险呈替代关系,但本文的实证结果意外证明了两者具有长期互补性.由此,作者衍生的政策建议是把增加农民收入作为拉动寿险需求的长期政策,不断完善社保机制,实现社保与寿险的良性互动.     

Cycling in a stochastic learning algorithm for normal form games

In this paper we study a stochastic learning model for 2×2 normal form games that are played repeatedly. The main emphasis is put on the emergence of cycles. We assume that the players have neither information about the payoff matrix of their opponent nor about their own. At every round each player can only observe his or her action and the payoff he or she receives. We prove that the learning algorithm, which is modeled by an urn scheme proposed by Arthur (1993), leads with positive probability to a cycling of strategy profiles if the game has a mixed Nash equilibrium. In case there are strict Nash equilibria, the learning process converges a.s. to the set of Nash equilibria.     

An improved generalized moments estimator for a spatial moving average error model

Following Arnold and Wied (2010), we suggest an improved generalized moments estimator for the spatial moving average error model which takes explicitly into account that the moment conditions are based on OLS residuals rather than the true disturbances.