欧元区成员国通胀差异成因研究

在欧元区内部,不同国家之间的通胀率存在不容忽视的差别。欧元区各经济体间究竟为什么会存在差别如此之大的通胀率呢?什么因素及在多大程度上影响了通胀率的差异?文章从巴拉萨—萨缪尔森效应、价格的收敛效应、输入性通胀、本国要素市场结构差异、本国财政政策和经济周期等六个方面,使用实证数据和面板数据回归探讨了这些问题。     

The Balassa-Samuelson Model: A General-Equilibrium Appraisal*

We derive two key propositions of the Balassa-Samuelson model as long-run balanced growth implications of a neoclassical general equilibrium model. the propositions are that productivity differentials determine international differences in nontradable relative prices and deviations from PPP reflect differences in nontradable prices. Closed-form solutions are obtained and tested using panel methods applied to long-run components of OECD sectoral data computed using the Hodrick-Prescott filter. the results indicate that labor productivity differentials help explain international low-frequency differences in relative prices. However, predicted nontradable relative prices are less successful in explaining long-run deviations from PPP. Unless very sophisticated indeed, PPP is a misleadingly pretentious doctrine, promising us what is rare in economics, detailed numerical predictions. (Paul A. Samuelson, 1964, p. 153)     

A model of relative national price levels under pricing to market

This paper proposes an alternative to the Balassa-Samuelson theory of how relative price levels between countries are determined. The theory is a general equilibrium formulation of a model where pricing to market arises endogenously from firm decisions. It differs from Balassa-Samuelson in that it centers on the distinction between segmented national goods markets rather than the distinction between traded and nontraded goods. The paper also explores how Balassa-Samuelson might be updated by combining it together with pricing to market elements. Applied to the case of a monetary union, the theory offers an alternative explanation for the inflation differentials observed in EMU. It implies that such differentials may be a natural and enduring feature of a monetary union in which markets for goods and labor are less than fully integrated.     

人民币实际汇率与中国经济增长的关系研究——基于边限检验法的巴拉萨-萨缪尔森效应检验

以Faria和Leon—Ledesma简化的巴拉萨-萨缪尔森模型为基础,运用Pesaran、Shin和Smith的边限检验法实证分析了1980—2007年期间人民币实际汇率与中国经济增长之间是否存在长期稳定关系。研究发现：改革开放以来,中国经济增长并没有伴随着人民币实际汇率的升值,巴拉萨-萨缪尔森效应在中国不成立。产生这一结果的原因在于：对高估的汇率进行贬值是中国经济高速增长的前奏,非市场化的劳动力市场阻断了BS效应中价格传递机制的发生。但是,如果中国经济保持较高的增长率,人民币实际汇率在长期中将经历一个升值过程。     

理解中国的实际汇率:一价定律偏离还是相对价格变动?

本文利用1997年1月至2010年9月的数据对人民币实际汇率进行分解,发现可贸易品偏离一价定律因素可以解释实际汇率波动的60%—80%,而可贸易品与不可贸易品之间的相对价格波动只能解释实际汇率波动的20%—40%。这意味着研究人民币实际汇率需要更多地从可贸易产品出发,不应仅仅强调国内不可贸易品与可贸易品的相对价格变化。进一步的研究发现,可贸易品因素对于解释人民币实际汇率占主导的结论,与中国相对于其他国家的经济体发展阶段有关。但是,上述结论并不意味着传统的"巴拉萨-萨缪尔森"效应失灵。事实上,当在计量回归中控制可贸易品偏离一价定律因素以后,巴萨效应在中国显著成立。只不过,相对于可贸易品偏离一价定律因素,巴萨效应对实际汇率波动的影响是次要的。     

Panel data inference under spatial dependence

This paper focuses on inference based on the standard panel data estimators of a one-way error component regression model when the true specification is a spatial error component model. Among the estimators considered, are pooled OLS, random and fixed effects, maximum likelihood under normality, etc. The spatial effects capture the cross-section dependence, and the usual panel data estimators ignore this dependence. Two popular forms of spatial autocorrelation are considered, namely, spatial autoregressive random effects (SAR-RE) and spatial moving average random effects (SMA-RE). We show that when the spatial coefficients are large, test of hypothesis based on the standard panel data estimators that ignore spatial dependence can lead to misleading inference.     

Accounting for the "Subnational Penn Effect"—A General Theory of Regional and National Price Levels

As an extension of the neoclassical urban systems theory (Henderson, 1974), we develop a general theory of regional (inter-city) price dispersion which also explains the “subnational Penn effect,” i.e., cross-city correlations among population size, prices, real income and human capital stock. The model is also a theory of international price dispersion that is observationally equivalent to and more appealing than the Balassa-Samuelson theory, implying that the (international) Penn effect may simply be an aggregate result of the “subnational Penn effect.” Furthermore, it shows that, contrary to the popular view, economic integration can increase as well as decrease spatial price variation.     

Convergence,technological interdependence and spatial externalities: a spatial dynamic panel data analysis

This study adopts a spatial dynamic panel data approach and spatial quasi-maximum likelihood to re-estimate the speed of growth convergence in 91 countries based on technological interdependence and spatial externalities. We perform a conditional Lagrange multiplier test for spatial error dependence and find some differences to previous studies. First, the switch from a cross-sectional to a dynamic panel data framework enables the estimated rate of conditional convergence to be higher, more accurate and more appropriate for realistic and theoretical expectations. Second, the spatial Durbin model (SDM) is a general form of simplified model that considers spatial error correlation, and its likelihood ratio test for the theoretical model of ‘learning by doing’ effect provides further evidence. Finally, statistical tests find that spatial correlation not only occurs in each variable, but also appears in the error term. Thus, the SDM does not exist in the assumptions associated with the spatial error, which are not necessarily correct.     

区域公共卫生服务收敛性研究——基于动态空间面板模型的实证分析

本文在现有财政支出收敛理论和经济增长空间收敛模型基础上,构建了公共卫生服务动态空间收敛理论模型,并采用动态空间面板收敛模型对1997-2006年中国大陆30个省、市、自治区公共卫生服务收敛情况进行了实证检验,结果发现:地区间公共卫生服务并不存在绝对收敛,但是存在条件收敛,差距有所缩小。财政收入的提高、居民收入水平的提高和中央政府转移支付的增加分别从供给、需求和收入效应的角度提高了地区公共卫生服务供给水平。但是,地区间公共卫生服务供给存在显著的空间负效应,降低了地区间公共卫生服务收敛速度,省级政府间未形成趋好竞争,反倒形成了逐底竞争。     

Instrumental variable estimation of a spatial autoregressive panel model with random effects

This paper extends the instrumental variable estimators of Kelejian and Prucha (1998) and Lee (2003) proposed for the cross-sectional spatial autoregressive model to the random effects spatial autoregressive panel data model. It also suggests an extension of the Baltagi (1981) error component 2SLS estimator to this spatial panel model.     

长期经济成长与实际汇率演变

巴拉萨—萨缪尔森效应对一国经济成长过程中劳动生产率追赶与实际汇率变动之间联系提出了理论推测。本文介绍巴拉萨—萨缪尔森效应假说理论内容和经验研究文献,利用国别截面数据与时间序列数据考查其主要经验证据。本文还讨论了巴拉萨—萨缪尔森效应假说对研究人民币实际汇率问题的借鉴意义。     

Spatial analysis of municipal water demand: a panel data approach

While the municipal water demand literature is well developed, one area that is understudied is the impact of spatial effects. After controlling for factors shown to impact demand, this study applies spatial econometric methods via a spatial weights matrix to a panel municipal water consumption data set. While diagnostics suggest the presence of spatial lag and spatial error, thus indicating the potential usefulness of spatial empirical methods, several important pitfalls must be acknowledged. First, the application of spatial weights in a panel setting is computationally intensive, especially when the number of time periods or observations is large, and perhaps necessitates aggregation. Second, because most users in a municipality are likely to be subject to similar utility action, climate, etc., a spatial lag signal may be spurious. Third, because premises served by the utility may enter or exit the data set through time, the requirement of balanced panels requires careful consideration. Fourth, if the option to use premises-level (or similar) data or aggregated data is available, it is typically advisable to use premises-level data despite the possible presence of spatial effects.     

Moran's I test of spatial panel data model — Based on bootstrap method

Under the condition of the finite sample or the unknown distributed error term, testing for spatial dependence in panel data models is an unresolved problem in spatial econometrics. In this paper, a fast double bootstrap (FDB) method is used to construct bootstrap Moran's I tests for Moran's I test in spatial panel data models, and Monte Carlo simulation experiments are used to prove the effectiveness from two aspects including size distortion and power. The experiment results show that, in asymptotic Moran's I test, there is serious size distortion, which could be rectified in bootstrap Moran's I test.     

Tradable and nontradable directed technical change

ABSTRACT

We wish to reconcile the major trends in wages and the terms of trade using a directed technical change approach in which: (i) tradable and nontradable goods can be substitutes or complements; and (ii) scale effects can be present or can be partially or totally removed. With a lower skilled labour ratio and a higher relative wage in the tradable sector, the price (real exchange rate or terms of trade) mechanism is crucial in determining sectoral productivity differences and thus wage inequality. Along the balanced growth path, the real exchange rate can be negatively related with the relative productivities in horizontal innovation (the Balassa-Samuelson effect) and with the relative labour level, depending on scale effects. The wage premium increases due to an increase in the relative labour level in the nontradable sector under substitutability with scale effects or under complementarity without scale effects. A calibrated version of the model indicates that the model closely replicates the data for Germany. Moreover, while the Balassa-Samuelson effect is quantified, an increase in the relative supply of labour in the tradable sector decreases both terms of trade and inequality.     

The Balassa-Samuelson and the capital-intensity hypotheses in a nutshell

By means of duality theory, this paper generalizes the Balassa-Samuelson model as is used to explain the Penn effect; namely, the fact that national price levels tend to rise with per capita national incomes. The generalization made in this paper allows for any technological progress that is Hicks-neutral, Solow-neutral, Harrod-neutral, or any mixture of them. The implications of the enlarged models include, among others, the Balassa-Samuelson scenario, as well as a capital-intensity scenario that resembles Bhagwati’s. Those hypotheses emerge simultaneously when technical changes are, both, Hicksian and Solovian. The paper also presents an alternative model that is used to explain the apparent breakdown of the Penn effect in the case of the lowest-income countries.     

Is the natural resource production a blessing or curse for China's urbanization? Evidence from a space–time panel data model

This paper provides an analytical framework to evaluate under what conditions the natural resource production could promote or hinder urbanization process, focusing on factors mostly relevant for China. Considering both structure breaks and cross-sectional dependence as well as spatial spillovers, the study deploys a comprehensive approach to rigorously prove the validity of the proposed space–time panel data model that includes the second generation panel unit root test and panel cointegration, panel threshold regression and spatial panel Durbin model. The results not only offer strong evidences that the natural resource production non-linearly impacts on urbanization process, but also show that there exists a dynamic response over time and space as well as space–time diffusion impact, in which these percentages are different from each other confirming an asymmetric effect of the natural resource production on urbanization process.     

城市化对房价的影响:线性还是非线性?——基于四种面板数据回归模型的实证分析

文章从线性和非线性两个角度分析了中国城市化进程对房价的影响。通过对各省历年房价和城市化的核密度估计空间分布分析,发现城市化和房价之间存在明显的正相关性,并且各省份的城市化和房价水平存在"双峰"分布特征和空间相关性。这说明在分析城市化对房价的影响时应考虑可能的门限效应和空间溢出效应这两种非线性关系。据此,文章基于中国30个省份1998-2009年的面板数据,使用普通面板回归、空间面板回归、门限面板回归和平滑门限面板回归这四种模型进行分析发现,城市化水平对本地区和相邻地区的房价均具有显著的促进作用,且在经济增长水平较高、人力资本集聚的地区,城市化对房价的促进作用更加显著。     

我国外商直接投资地区分布影响因素研究——基于空间面板数据模型

外商直接投资(FDI)在我国空间分布的显著非均衡性引发了大量有关FDI区位选择的经验研究,但相关研究往往忽视了FDI的空间依赖性对其区域分布的影响.基于此,本文选取我国1990-2004年28个省区的数据资料,从地区固定效应和时间固定效应两方面对空间面板数据模型进行估计,考察FDI的空间相关性对我国FDI地区分布的影响.研究发现,空间面板数据模型对现实FDI地区分布的拟合效果更好、解释力更强;我国各省FDI的区位分布存在正向的空间相关性,相邻地区吸引外资的增加能够带动本地区吸引更多的外商投资.     

Seemingly unrelated regressions with spatial error components

This article considers various estimators using panel data seemingly unrelated regressions (SUR) with spatial error correlation. The true data generating process (DGP) is assumed to be SUR with spatial error of the autoregressive or moving average type. Moreover, the remainder term of the spatial process is assumed to follow an error component structure. Both maximum likelihood (ML) and generalized moments (GM) methods of estimation are used. Using Monte Carlo experiments, we check the performance of these estimators and their forecasts under misspecification of the spatial error process, various spatial weight matrices, and heterogeneous versus homogeneous panel data models.     

部门生产率、汇率与结构性通货膨胀——基于B-S假说的拓展研究

通货膨胀是一国经济高速增长时期频发的经济现象,它的形成有结构性原因。基于B-S(巴拉萨-萨缪尔森)假说构建了新的理论框架分析结构性通货膨胀形成的内在机理,然后利用中国30多年经济发展的相关数据对部门劳动生产率增长差异与通货膨胀之间的关系进行了实证分析。实证分析表明,部门生产率增长差异是通货膨胀形成的重要原因,货币供给量、汇率也是影响我国通货膨胀的重要因素。