工具变量法综列单位根检验的有偏性及其修正

Chang（2002）基于非线性工具变量估计，提出了对截面相关综列数据进行单位根检验的SN检验，在综列数据生成过程不舍飘移和时间趋势时具有良好的表现。但我们的研究表明，在非平稳综列数据含有确定性趋势时，SN检验是有偏的，不再服从标准正态的渐近分布，而需要进行修正。本文基于蒙特卡罗仿真试验提出了一种简便的修正方法，修正后的SN检验统计量渐近分布为标准正态分布。仿真结果表明，修正后的SN检验具有更好的有限样本性质和较高的检验势。     

多种单位根检验法的比较研究

本文基于单位根检验基本原理,比较了5种单位根检验的方法,说明在小样本情况下,为提高检验功效,应针对数据生成过程的特点联合多种检验法进行检验。如果检验变量为非平稳,则需要进行进一步的结构突变检验,本文主张选用结构突变点内生的Perron检验法与外生检验法相结合来判断变量的平稳性。     

基于多标度分形理论的金融资产收益非对称性测度方法研究

基于多标度分形理论,提出了一种新的更适用于实际金融资产收益数据的非对称性测度方法——两阶段非对称性检验法（Two-step asymmetry testing,TAT）,并运用Monte Carlo模拟考察了其与传统的偏度系数检验法的非对称性判定结论差异。实证结果表明：总体来讲,本文提出的两阶段非对称性检验法在常用检验水平下取得了较偏度系数法更为准确的金融资产收益非对称性判定结论,且两阶段非对称性检验法较偏度系数法更适用于具有非独立、非正态特性数据的非对称性检验。     

伪回归分析及模型修正——来自深沪交易所3974个交易日数据分析

在大样本条件下,当两个变量均为非平稳时间序列时,这两个变量间所进行的回归就可以有导致伪回归现象。这是因为传统的显著性经验所研究的变量间的关系在事实上是不存在的,这也是利用单位根检验数据序列是否平稳的原因之一。但在实证研究中,多数的宏观经济变量都是非平稳的或带有趋势的,本文以来自深沪交易所3974个交易日数据进行了实证分析。     

STAR误差修正模型中协整关系检验的inf-t统计量

在将误差修正过程设定为全局平稳的指数平滑转换函数的情形下,本文建立了一个新的检验统计量 对非线性STAR误差修正模型中的协整关系进行检验;推导了 统计量的渐近分布,并通过Monte Carlo模拟的方式给出了其渐近临界值。 统计量取未识别参数空间上的下确界,有效避免了原假设下的未识别参数问题。Monte Carlo 数值模拟研究的结果表明, 统计量相对E-G两步法的 和Kapetanios等（2006）的 统计量具有更高的检验势。将 统计量应用于对我国货币需求稳定性进行检验,发现我国狭义货币需求量长期稳定,短期存在指数平滑非线性机制转换特征。     

金融市场波动:理论争鸣与方法演进

金融市场波动是金融风险的直接来源,在金融学发展过程中始终是研究的重要领域.从现代金融学出现开始,研究者对金融市场波动的理解和看法一直存在许多不同的观点.新金融学和混沌理论不断从新的研究视角向传统的"随机游走"思想提出挑战.对市场波动的不同理解决定了研究方法的不同,线性范式的研究框架在新的理论和技术的冲击下正在逐渐失去主流地位,混沌、分形等非线性的研究方法在对金融市场波动的判断和可预测性分析上已经取得了很大的成功,并有可能主导这一领域未来的研究方向.     

非平稳面板数据的非线性共同周期检验

经济变量的协同波动是学术界、宏观政策制定者长期关注的重要问题,本文将时间序列数据的共同周期检验方法扩展至面板数据,提出非平稳面板数据的非线性共同周期检验方法。本文根据数据特征,将共同周期划分为强降秩结构共同周期和弱降秩结构共同周期,分别在强降秩结构数据和弱降秩结构数据中提出共同周期检验统计量,并提出区分强降秩结构数据和弱降秩结构数据的统计量。研究结果表明,本文检验统计量的极限分布都是卡方分布,并且各检验统计量都表现出良好的有限样本性质,因此,本文提出的非平稳面板数据的非线性共同周期检验方法具有较高的实用性。     

含结构突变的趋势平稳过程的虚假单位根研究

本文发现Perron（1989）在趋势突变情形下的结论“统计量的极限分布会随着突变点位置参数的变化收敛在0到1/2之间”值得商榷,原因在于模型设定中出现了错误,导致在结构突变的趋势平稳过程的数据生成过程下,统计量的极限分布在截距突变的情况下发散而在斜率突变的情况下退化。本文对其进行修正并补充推导了三种含结构突变的趋势平稳过程的单位根检验统计量的分布,并给出能够证实和证伪的蒙特卡洛模拟结果。     

广义Breitung非参数单位根检验研究——基于平稳假设下序列长期方差一致估计的分析

Breitung检验中生成序列的误差项的自相关会影响有限样本性质。本文用平稳假设下序列长期方差的一致估计量作为统计量的分母对其进行了修正。给出了修正后的统计量及其渐近理论,并对修正前后的有限样本性质进行了仿真。结果显示,修正后统计量概率密度的左偏有所减少;当误差项有自相关时,修正后检验的水平扭曲有所改进;当样本较小时,随误差项自回归(移动平均)系数或序列自回归系数的增加,修正后检验的势逐渐大于Breitung检验的势。     

非货币性资产交换准则研究

盈余管理是财务会计研究领域的重要内容,上市公司有可能利用非货币性资产交换准则进行盈余管理。本文对我国非货币性资产交换准则研究进行了梳理,总结了非货币性资产交换准则的比较、非货币性资产交换准则中的"公允价值"及"非货币性资产交换与盈余管理关系",对现有研究关键问题进行较系统阐述,提出了对准则进行实证检验和设计内部控制制度的相关建议。     

Incumplimiento del salario mínimo en Europa central y oriental

En este estudio se analiza el incumplimiento del salario mínimo durante el periodo 2003–2012 en diez países de Europa central y oriental con salario mínimo obligatorio nacional. A partir de los datos de EU‐SILC y la metodología propuesta por Bhorat, Kanbur y Mayet (2013), se cuantifica la incidencia y magnitud del incumplimiento. Se realizan análisis de regresión sobre determinantes individuales, laborales y macroeconómicos. Aunque la incidencia permanece relativamente baja, los trabajadores a los que se dirigen las políticas de salario mínimo parecen los más expuestos a su incumplimiento. Con el tiempo, una mayor incidencia se asocia a una razón más alta entre salario mínimo y salario medio.     

Cultural Economy Planning in Creative Cities: Discourse and Practice

While a growing body of research analyses the functional mechanisms of the cultural or creative economy, there has been little attention devoted to understanding how local governments translate this work into policy. Moreover, research in this vein focuses predominately on Richard Florida's creative class thesis rather than considering the wider body of work that may influence policy. This article seeks to develop a deeper understanding of how municipalities conceptualize and plan for the cultural economy through the lens of two cities held up as model ‘creative cities’ — Austin, Texas and Toronto, Ontario. The work pays particular attention to how the cities adopt and adapt leading theories, strategies and discourses of the cultural economy. While policy documents indicate that the cities embrace the creative city model, in practice agencies tend to adapt conventional economic development strategies for cultural economy activity and appropriate the language of the creative city for multiple purposes.     

Input/output ranges and performance: an examination of US machine tool producers

Despite the establishment of high-tech multinational enterprises (MNEs) in Ireland since the late 1950s, the country did not succeed in closing the technological gap with most of its EU counterparts. The weak National System of Innovation (NSI), and in particular low business and government R&D levels, combined with a lack of research and technology linkages between MNEs and indigenous firms, explain these poor results. However, the Shannon region in the West of the country presents some specific institutional characteristics that could theoretically make the region a strong technological enclave. The various actors in the region - i.e. the administrative, financial, political and research institutions, as well as the business organizations - have indeed infused a new type of economic development. After a brief review of the available concepts and models articulated around these actors and their interrelationships, the paper analyses whether the Shannon region, taken as an illustrative example, mirrors a specific economic and technological localized setting. The study is based on a survey of indigenous and foreign firms.     

Sixty years of discrimination and diversity research in human resource management: A review with suggestions for future research directions

This article reviews discrimination and diversity research published in Human Resource Management (HRM) over the past 60 years. While discrimination and diversity are very different constructs, it is often informative to study them together, because when people recognize each other's diversity, this can result in bias, stereotyping, and discrimination. We conducted bibliographic searches for terms related to discrimination and diversity as well as a manual search through every title and abstract published in HRM over the last 60 years to assess article relevance. The search resulted in 135 research articles with 136 unique studies (i.e., samples) which are reviewed in this article. Sex and race are the demographics that have been examined the most in HRM, while religion has been examined the least. Moreover, the number of studies examining lesbian, gay, bisexual, transgender, and queer (LGBTQ) employees in the workplace in HRM has grown quickly within the past 10 years, culminating in a recent meta‐analysis. Our review looks at some of the earliest research published, the most recent research published, and the overall trends we identified in the research over the years for both discrimination and diversity articles. We then make future research suggestions and recommendations to advance the study of discrimination and diversity in the coming years.     

The Early History of the Cumulants and the Gram-Charlier Series

The early history of the Gram-Charlier series is discussed from three points of view: (1) a generalization of Laplace's central limit theorem, (2) a least squares approximation to a continuous function by means of Chebyshev-Hermite polynomials, (3) a generalization of Gauss's normal distribution to a system of skew distributions. Thiele defined the cumulants in terms of the moments, first by a recursion formula and later by an expansion of the logarithm of the moment generating function. He devised a differential operator which adjusts any cumulant to a desired value. His little known 1899 paper in Danish on the properties of the cumulants is translated into English in the Appendix.     

Capturing the Implications of Services Trade Liberalization

This paper evaluates the impact of service sector trade liberalization on the world economy by a ten-region, eleven-sector CGE model with import embodied technology transfer from developed countries to developing countries. Simulation results show that service sector trade liberalization not only directly affects world service production and trade, but also has significant implications for other sectors in the economy. The major channel of the impact is through inter-industry input-output relations and TFP growth induced from services imported by developing countries from developed countries, which may be embodied with new information and advanced technology.     

City Children and Genderfied Neighbourhoods: The New Generation as Urban Regeneration Strategy

Former industrial cities in the West are employing gentrification as urban policy. In these policies, women and families currently play an important role as gentrification pioneers. In my analysis of Rotterdam in the Netherlands, I propose the term genderfication to understand the gender dimensions of this process. Genderfication refers to the production of space for different gender relations. I analyse Rotterdam's urban planning program for becoming a ‘child‐friendly city’, which entails replacing existing urban dwellings with new, larger and more expensive ‘family‐friendly homes’ as a strategy for urban re‐generation. Urban re‐generation supplements regeneration in the form of material and economic restructuring, and refers to the replacement of part of the current population by a new and better suited generation. The ‘child‐friendly city program’ is considered in tandem with punitive ‘youth policies’.     

Hierarchical Models in Environmental Science

Environmental systems are complicated. They include very intricate spatio-temporal processes, interacting on a wide variety of scales. There is increasingly vast amounts of data for such processes from geographical information systems, remote sensing platforms, monitoring networks, and computer models. In addition, often there is a great variety of scientific knowledge available for such systems, from partial differential equations based on first principles to panel surveys. It is argued that it is not generally adequate to consider such processes from a joint perspective. Instead, the processes often must be considered as a coherently linked system of conditional models. This paper provides a brief overview of hierarchical approaches applied to environmental processes. The key elements of such models can be considered in three general stages, the data stage, process stage, and parameter stage. In each stage, complicated dependence structure is mitigated by conditioning. For example, the data stage can incorporate measurement errors as well as multiple datasets with varying supports. The process and parameter stages can allow spatial and spatio-temporal processes as well as the direct inclusion of scientific knowledge. The paper concludes with a discussion of some outstanding problems in hierarchical modelling of environmental systems, including the need for new collaboration approaches.