随机生产前沿方法的发展及其在中国的应用

本文对随机前沿生产函数模型的发展及其在中国生产率分析中的应用进行了评述。文章首先介绍随机前沿方法的基本原理、估计方法和在面板数据下对全要素生产率增长的分解,随后评述随机前沿生产函数模型的最新进展和在经验分析中的优势与作用,最后总结了在中国行业和地区经济增长研究中随机前沿方法的成果和不足,并探讨今后研究的发展方向。     

Decomposition of Fraud‐Risk Assessments and Auditors' Sensitivity to Fraud Cues*

Practitioners and regulators are concerned that when auditors perceive management's attitude or character as indicative of low fraud risk, they are not sufficiently sensitive to high levels of incentive or opportunity risks in their overall fraud‐risk assessments. In this study, we examine whether a fraud‐triangle decomposition of fraud‐risk assessments (that is, separately assessing attitude, opportunity, and incentive risks prior to assessing overall fraud risk) increases auditors' sensitivity to opportunity and incentive cues when perceptions of management's attitude suggest low fraud risk. In an experiment with 52 practicing audit managers, we find that auditors who decompose fraud‐risk assessments are more sensitive to opportunity and incentive cues when making their overall assessments than auditors who simply make an overall fraud‐risk assessment. However, this increased sensitivity to opportunity and incentive cues appears to happen only when those cues suggest low fraud risk. When opportunity and incentive cues suggest high fraud risk, auditors are equally sensitive to those cues whether they use a decomposition or a holistic approach. We discuss and examine potential explanations for this finding.     

On the decomposition of rank-dependent indicator of socio-economic inequalities in child malnutrition: Some empirical findings

The persistent socioeconomic disparities in child under-nutrition in developing countries raises an important health policy question - whether different nutrition base interventions are required for different areas? Addressing this question, the main objective of this study is to investigate the trends of socio-economic inequalities in child undernutrition in Pakistan and to assess the causes of these inequalities through decomposition analysis. Using Pakistan Demographic and Health Survey, round 2017–18, data this study examined inequalities in child undernutrition through different health inequality indices. Moreover, decomposition analysis is performed by applying generalized decomposition procedure under recentered influence function (RIF) regression to find the contribution of (i) differences in levels of different factors (composition effects) and (ii) differences in the intensity of association between socio-demographic factors and child undernutrition (coefficient effects) to the observed inequality. Study findings suggest substantial pro-educated inequalities in child under-nutrition. In addition, the decomposition analysis reveals the factors such as parental education and wealth status are significant contributors to the observed inequality. Moreover, different policy interventions, for rural and urban areas are suggested. There is the need to design public health, nutrition-based, interventions to overcome rural urban disparities through bridging gaps in educational endowments of rural and urban populations. Moreover, a balanced distribution of wealth might be helpful to reduce the rural-urban gap.     

中国区域经济发展差异及其原因的多尺度分析

本文采用经验模态方法对中国1953—2002年区域经济发展差异进行多尺度分析,并对不同尺度的区域经济差异的原因进行探讨。研究表明,50年来中国区域经济差异波动主要以60年尺度、17.5年尺度和趋势为主,近期区域差异呈扩大趋势。从不同尺度生产要素投入差异和区域差异的关系看,要素投入差异会引起区域差异,区域差异也会引起要素投入环境差异并引发要素投入差异的变化,在制定区域政策时应考虑区域差距波动的短期性和长期性。     

股票市场收益率波动长记忆性的分解及实证研究

目前股票市场长记忆性检验和建模方法，不能很好地消除短期记忆的影响，针对这一问题，本文提出寻找序列的突变点，通过将序列分解为只包含长记忆性部分和不包含长记忆性部分的序列分解技术，来排除短期记忆的影响。对上证指数和深圳成分指数收益率波动的长记忆性进行实证研究发现，将序列分解以后进行长记忆性检验，不仅可以得出长记忆性检验更为精确的结论，同时可以检验序列分解过程的效果。     

中国饲料工业期货的价格发现实证研究

本文借助向量自回归模型、协整检验、误差修正模型、方差分解、脉冲响应函数等方法,以中国唯一的饲料工业期货———大连商品交易所豆粕期货品种为例,研究了期货价格与现货价格之间的动态关系,定量刻画了期货市场在价格发现中的作用。研究结果显示:豆粕期货价格与现货价格存在相互引导关系,并且期货与现货价格之间存在长期均衡关系,对豆粕期货来说,期货市场在价格发现功能中起到主导作用。     

Understanding the trend to mobile-only internet connections:A decomposition analysis

A growing portion of internet users rely solely on mobile devices such as smartphones for their online access. The percentage of “mobile-only” households increased from 9% in 2011 to 20% in 2015, more than doubling in only four years. As this shift continues, it leads to the question of what factors are driving the rise in mobile-only adoption. Using nationally representative data, this study uses logistic regressions and a decomposition technique to understand the trend. The decomposition reveals that a significant portion (65%) of the growth was due to an increase in the download speeds of mobile networks. An increased acceptance of mobile-only access by households aged 55 and older was also partly responsible. Understanding (and developing a response to) the trend towards mobile-only adoption will be important as organizations and governments continue to work to close the digital divide.     

Wage differences between Austrian men and women: <Emphasis Type="Italic">semper idem?</Emphasis>

In most OECD countries, the wage gap between men and women has narrowed during the past two decades. Developments of the last 20 years, e.g., increased labour market attachment of women or the introduction of equal pay laws, may have reduced the gender wage gap. We investigate the extent, persistence, and socio-economic determinants of the gender wage gap in Austria, for the years 1983 and 1997. Using wage decomposition techniques, we find that the average gender wage gap was almost as high in 1997 as it was in 1983. Not accounting for differences, the gender wage gap dropped from 25.5 to 23.3% of men’s wages. Taking observable differences between men and women into account, we estimate that the mean gender wage gap that cannot be explained, i.e., discrimination against women, dropped from 17 to 14% of men’s wages. A decomposition of the gender wage gap over time indicates that both returns to human capital and less discrimination were responsible for the narrowing of the gender wage gap.

我国房地产泡沫与银行信贷规模的相关性研究

本文首先从理论上深刻剖析了房地产泡沫与银行信贷规模相互之间的作用与传导机制,在此基础上选取2006年-2018年相关指标的年度数据,对房地产泡沫与银行信贷规模进行了图形拟合与周期性波动规律分析,分析发现二者存在极高的契合度。建立房地产泡沫的函数,构建协整方程实证发现银行信贷规模对房地产泡沫的长期弹性系数为0.51,从长期来看银行信贷规模每增加1%,房地产泡沫也相应增加0.51%,进一步建立VAR模型实证发现房地产泡沫与银行信贷规模互为格兰杰因果关系,二者相互影响、相互促进。通过方差分解实证发现银行信贷规模对房地产泡沫的变动具有重要的影响,另一方面,房地产泡沫是影响银行信贷规模变动最主要的因素。     

陕西省城乡关联发展与基础设施建设动态关系分析

以陕西省为例,在对近20年城乡关联度和基础设施建设水平测度的基础上,利用格兰杰因果检验、脉冲响应函数及方差分解模型,对其城乡关联发展与基础设施建设的关系进行了计量分析。研究显示：①1990年以来,陕西省城乡关联度和基础设施建设水平经历了同步发展到拮抗的演变过程;②陕西省道路、邮电通信、环保和教育卫生设施建设水平变化与城乡关联度变化互为格兰杰因果关系,而城乡关联度变化仅是能源给水设施建设水平变化的单向格兰杰因果关系;③陕西省城乡关联度变化一直受到自身及道路、邮电通信、环保和教育卫生设施建设水平的影响,且后者的方差贡献逐渐增大,其中道路设施建设水平的方差贡献率在第5期（即1994年）超过了其自身的贡献率。