Finite sample multivariate structural change tests with application to energy demand models

This paper considers finite sample motivated structural change tests in the multivariate linear regression model with application to energy demand models, in which case commonly used structural change tests remain asymptotic. As in Dufour and Kiviet [1996. Exact tests for structural change in first-order dynamic models. Journal of Econometrics 70, 39–68], we account for intervening nuisance parameters through a two-stage maximized Monte Carlo test procedure. Our contributions can be classified into five categories: (i) we extend tests for which a finite-sample theory has been supplied for Gaussian distributions to the non-Gaussian context; (ii) we show that Bai et al. [1998. Testing and dating common breaks in multi-variate time series. The Review of Economic Studies 65 (3), 395–432] test severely over-rejects and propose exact variants of this test; (iii) we consider predictive break test approaches which generalize tests in Dufour [1980. Dummy variables and predictive tests for structural change. Economics Letters 6, 241–247] and Dufour and Kiviet [1996. Exact tests for structural change in first-order dynamic models. Journal of Econometrics 70, 39–68]; (iv) we propose exact (non-Bonferonni based) extensions of the multivariate outliers test from Wilks [1963. Multivariate statistical outliers. Sankhya Series A 25, 407–426] to models with covariates; (v) we apply these tests to the energy demand system analyzed by Arsenault et al. [1995. A total energy demand model of Québec: forecasting properties. Energy Economics 17 (2), 163–171]. For two out of the six industrial sectors analyzed over the 1962–2000 period, break and further goodness-of-fit and diagnostic tests allow to identify (and correct) specification problems arising from historical regulatory changes or (possibly random) industry-specific effects. The procedures we propose have potential useful applications in statistics, econometrics and finance (e.g. event studies).     

关于收益法的经济价值论及其基础之研究

收益法是资产评估中最基本的一种方法,本文对资本价值理论及其价值论基础--效用论、边际效用论以及理论应 用(收益法)进行全面系统的研究。     

我国居民收入差距与消费需求关系研究

主要研究了收入差距对消费需求的影响。通过建立数学模型,从理论上推导了收入差距的扩大对消费需求的制约作用。在此基础上结合我国城镇居民收入与支出的相关数据,将人群按收入水平划分为高、中、低三组,实证分析高收入人群与低收入人群的收入和消费关系,并提出了相应的政策建议。     

论宏观调控——对我国2003年来宏观调控的几点认识

界定了宏观调控的内涵,论证了宏观调控的必要性,讨论了宏观调控的类型,对宏观调控成效与政策实施时长进行了模型分析,并对学术界就我国2003年开始的宏观调控成效的争论进行了简要的述评。     

中国房地产泡沫到底有多大

利用Ramsey模型，采取资本边际收益率法，实证测试了2000～2004年我国房地产的泡沫度，得出了期间我国房地产经历了从负泡沫、无泡沫到正泡沫演变的结论。     

网络经济条件下的产品内分工与模块化生产

产品内分工、模块化生产是与网络经济紧密联系在一起的，生产和供应过程不同工序、区段和环节在不同的空间完成，然后在同一个地方形成最终产品，这样的生产方式实际上就是网络经济条件下一种典型的生产方式，因而必须遵循网络经济条件下的规则，并且其本身也具有一定的规律性。本文就网络经济条件下产品内分工的根源、模块化生产的特征及作用进行了探讨，旨在加深对分工问题的认识以及获得解决一些现实经济问题的启示。     

高铁开通、要素禀赋与区域经济增长——以贵州省为例

基于2008-2018年贵州省9个地级市和自治州的面板数据,实证检验高铁开通对区域要素禀赋与经济增长的影响。结果表明:高铁开通在总体上促进了贵州省区域经济增长,提高了劳动力要素的相对丰裕程度。然而,高铁开通并未表现出技术溢出作用,反而降低了劳动力和资本要素的边际生产率,对要素禀赋结构优化和区域经济长期发展产生不利影响。基于此提出,应因地制宜科学规划高铁建设,推进科学技术创新,加强高素质人才培养与引进,优化营商环境,提升社会保障水平,以发挥高铁的扩散效应,降低聚集效应,进而改善要素禀赋结构,促进区域经济协调发展。     

A step beside the maximin path: Can we sustain the economy by following Hartwick's investment rule?

If sustainability is interpreted as the requirement to sustain consumption or utility at an optimal level, a maximin objective appears to be relevant. The sustained economy is characterized by an optimal investment following Hartwick's investment rule. This paper examines how the sustainability of a production-consumption economy with a non-renewable resource is modified in the neighborhood of the maximin path, i.e. when the consumption and the resource price are not optimal. A Sustainable Consumption Indicator is introduced in order to characterize the sustainability of constant consumption paths, defined as deviations from the maximin path. We describe how an over-consumption jeopardizes future sustainability.     

Nonlinearities and heterogeneity in environmental quality: An empirical analysis of deforestation

We use a panel data set of 59 developing countries over the 1972–1994 period to study the deforestation process. Relying on both parametric and semiparametric models, we examine nonlinearities and heterogeneity in the deforestation process. We first study the existence of an Environmental Kuznets Curve (EKC) and then analyze determinants of deforestation. Our data sample provides no evidence of an EKC. We also find that political institution failures may worsen the deforestation process in developing countries.     

Convenient estimators for the panel probit model: Further results

Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likelihood estimation is actually straightforward, and resort to GMM estimation for convenience is unnecessary. In this note, we reconsider maximum likelihood based estimation of their panel probit model then examine some extensions which can exploit the heterogeneity contained in their panel data set. Empirical results are obtained using the data set employed in the earlier study. Helpful comments and suggestions by Irene Bertschek and Michael Lechner are gratefully acknowledged. This paper has also benefited from comments by two anonymous referees and from seminar participants at the Center for Health Economics at the University of York. Any remaining errors are the responsibility of the author.