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.     

Structural changes and regional disparity in China's inflation: a revisit

The study re-examined the time series properties and regional disparities in Chinese inflation by extending the work of Chong, Zhang, and Feng (2011 Chong, Tai-Leeung, Terence, Ning Zhang and Feng, Qu. 2011. Structural Changes and Regional Disparity in China's Inflation. Economics Bulletien, 31(1): 572–583.  [Google Scholar]). For this purpose we employed the Lagrange Multiplier (LM) unit root test with one structural break and two structural breaks suggested by Lee and Strazicich (2003 Lee, Junsoo, Mark, C. and Strazicich. 2003. Minimum LM Unit Root Test with Two Structural Breaks. Review of Economics and Statistics, 85(4): 1082–1089. [Crossref], [Web of Science ®] , [Google Scholar], 2004 Lee, J. and Strazicich, M. 2004. Minimum LM unit root test with one structural break. Working Paper 04–17, Boone, North Carolina: Department of Economics, Appalachian State University.  [Google Scholar]) and a recently developed ADF type unit root test with two structural breaks of Narayan and Popp (2010 Narayan, Paresh Kumar and Stephan Popp. 2010. A New Unit root test with Two Structural Breaks in Level and Slope at Unknown Time. Journal of Applied Statistics, 37(9): 1425–1438. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]). We found that national, urban and rural series of the overall inflation series, clothing, and food, national series of education and residence and the rural series of residence and education are stationary. We also found regional disparity in Chinese inflation, but the disparities existed only in education inflation series.     

Smooth Transition ARCH Models: Estimation and Testing

In this paper, we suggest an extension of the ARCH model, the smooth-transition autoregressive conditional heteroskedasticity (STARCH) model. STARCH models endogenously allow for time-varying shifts in the parameters of the conditional variance equation. The most general form of the model that we consider is a double smooth-transition model, the STAR-STARCH model, which permits not only the conditional variance, but also the mean, to be a function of a smooth-transition term. The threshold ARCH model, the Markov-ARCH model and the standard ARCH model are special cases of our STARCH model. We also develop Lagrange multiplier tests of the hypothesis that the smooth-transition term in the conditional variance is zero. We apply our STARCH model to excess Treasury bill returns. We find some evidence of a smooth transition in excess returns, but in contrast to previous studies, we find almost no evidence of volatility persistence once we allow for smooth transitions in the conditional variance. Thus, the apparent persistence in the conditional variance reported by many researchers could be a mere statistical artifact. We conduct in-sample tests comparing STARCH models to nested competitors; these suggest that STARCH models hold promise for improved predictions. Finally, we describe further extensions of the STARCH model and suggest issues in finance to which they might profitably be applied.     

中国的最优化动态IS-LM模型构建与应用

传统的IS-LM模型由于存在许多缺陷一直以来都备受批评。理性预期革命之后出现的基于跨期动态最优化的IS-LM模型却能够很好地克服传统的缺陷,逐渐受到当代宏观经济学家的青睐。本文尝试在最优化IS-LM基本模型的基础上,引入对定期存款的配置行为,加入政府和国外部门,将模型拓展为四部门三资产模型,然后利用中国数据采用理性预期的方法对参数进行估计,并解释了方程系数的含义。最后对于模型如何实现动态化用以描述经济的演化作了一些探讨。     

非线性时序模型LM检验的两类临界值检验统计功效比较

本文基于模拟方法比较了不同非线性时序模型的LM检验的功效和规模,同时也考虑一般化线性检验BDS检验参与比较,目的在于探讨蒙特一卡洛渐近法检验与自举法（bootstrap）检验的两类临界值的统计功效何者更为有效。通过实证与对比分析,结果表明,当样本小于200或自回归系数接近单位根,或者线性性检验是ARCHT或BDS时,就可以考虑应用自举法临界值而非渐近临界值。而且还发现,BDS检验仅在一般性上优于LM检验。     

What Should be Taught in Intermediate Macroeconomics?

A lack of consensus remains on what should form the theoretical core of the undergraduate intermediate macroeconomic course. In determining how to deal with the Keynesian/classical divide, instructors must decide whether to follow the modern approach of building macroeconomic relationships from micro foundations, or to use the traditional approach based on aggregate models of the macroeconomy. In this article, the authors discuss the advantages and shortcomings of each approach in the context of course objectives. Because there is significant heterogeneity in textbook coverage, the authors summarize some of the approaches taken in current intermediate-level textbooks, which should serve as a useful starting point for new instructors. The authors also discuss how each approach can be extended to analyze the recent recession in the United States.     

人民币汇率购买力平价问题的重新研究——基于结构突变检验与变结构协整的视角

本文应用LM结构突变检验以及Gregory-Hansen等变结构协整方法,对人民币汇率购买力平价问题进行了重新研究。研究发现样本期内人民币汇率发生了两次结构突变,第一次发生在2005年7月,第二次发生在2006年12月。LM检验显示,发生了结构突变的汇率数据生成过程仍为单位根过程,意味着某些经济冲击确实对数据生成过程(DGP)产生了实质影响。进一步对比研究发现,在未考虑结构突变情况下,样本期内购买力平价不成立;但在考虑结构突变情况下,两种变结构协整方法都支持购买力平价成立。     

央行货币政策操作效果非对称性实证研究

货币政策操作效果的对称与非对称性研究,近年来在国外金融界十分关注。研究表明:紧缩性货币政策与扩张性货币政策在抑制经济过热和治理经济衰退的效果上存在极大的差异,并且,不同国家和地区的货币政策运用效果及特点也有明显差别。KimD .H .( 2 0 0 2 )使用Hanmilton( 2 0 0 1 )提出的浮动法,分析了美国的货币政策。他得出的结论认为,1 979年前美国货币政策具有显著的非线性特征,即效果不对称,而在其后这一特征则不够明显。Bruinshoofd和Candelon( 2 0 0 4)使用STR模型和LM统计量检验了欧洲几个国家的货币政策效力,却得出与美国几乎相反的结论。那么,我国的货币政策操作效果是否具有对称性,目前还未见到相关的报道。本文采用LSTR模型和LM检验统计量,对此问题进行了深入细致的探讨。研究结果表明:在1 993年第1季度至2 0 0 4年第2季度期间,我国货币政策操作在效果上表现出明显的非对称性,具有很强的非线性特征。     

IS—LM模型与财政货币政策的有效性

IS—LM模型是凯恩斯理论体系的主要分析工具。本文通过对我国IS曲线斜率、LM曲线斜率的分析,我们认为很难比较出目前财政政策作用与货币政策作用的大小,而考察开放经济下的IS—LM—BP模型,我们认为财政政策在目前起主要作用,而货币政策起配合作用。     

Neglected heterogeneity in moment condition models

The central concern of this paper is parameter heterogeneity in models specified by a number of unconditional or conditional moment conditions and thereby the provision of a framework for the development of apposite optimal $m$-tests against its potential presence. We initially consider the unconditional moment restrictions framework. Optimal $m$-tests against moment condition parameter heterogeneity are derived with the relevant Jacobian matrix obtained in terms of the second order own derivatives of the moment indicator in a leading case. GMM and GEL tests of specification based on generalized information matrix equalities appropriate for moment-based models are described and their relation to optimal $m$-tests against moment condition parameter heterogeneity examined. A fundamental and important difference is noted between GMM and GEL constructions. The paper is concluded by a generalization of these tests to the conditional moment context and the provision of a limited set of simulation experiments to illustrate the efficacy of the proposed tests.