人力资本与进城农民工职业选择的实证研究

为适应中国劳动力供求形势新变化,促进社会和谐发展,迫切需要提高进城农民工的职业层次。教育、培训、迁移等人力资本因素是影响进城农民工职业选择的重要因素。使用多元logit模型进行了实证分析。受教育程度越高、接受过培训、在城市工作的年限越长的进城农民工,其从事具有更高社会声望职业的可能性就越大,这些职业有诸如办事人员和生产操作人员、专业技术人员和单位负责人等。提出了加强进城农民工人力资本投资的政策建议。     

经济新常态下金融包容与产业结构转型——基于中国省级面板数据的分析

在经济新常态背景下,产业结构面临重大调整,金融包容的融入,使中小企业或个人能够获得价格合理、方便快捷的金融资源,扶持创业创新发展,形成新的增长动力。本文基于1995～2012年中国31个省市的相关数据,运用面板数据模型和分位数回归方法,深入探讨金融包容对产业结构转型的影响。结果表明,金融包容与产业结构转型具有显著的正向关系,并且在不同分位点上金融包容水平对产业结构转型表现出较强的解释力,随着产业结构向高级化发展,金融包容在产业结构转型升级中的作用逐步凸显。经济增长、教育发展、财政支出规模和城市化水平均对产业结构转型具有促进作用,而过多的物质资本投入不利于产业结构转型。     

培养高职高专院校电子商务人才的实践能力

随着电子商务的迅猛发展,我国电子商务的发展正从外部的信息发布、网上交易向与企业内部业务整合的方向发展。企业对电子商务人才的需求,也将从单纯的技术型网站建设维护人才向复合型懂技术的商务人才转变。培养应用型的电子商务人才是高职高专教育的当务之急,加强高职高专院校电子商务实践教学的认识,构建高职高专院校电子商务实践教学模块对于培养高职高专电子商务人才具有重要意义。     

情感乡村模式与璧山县乡村旅游实践研究

＂快乐经济＂、＂幸福经济＂等可统称为＂情感经济＂,它为我们提供了＂可触摸＂情感的思维。在对情感经济回顾和＂情感乡村＂概念界定基础上,认为情感经济可用于乡村旅游实践。在璧山县＂情感乡村＂旅游发展实践中,通过挖掘＂情感乡村＂旅游元素、分析＂情感乡村＂旅游市场,提出快乐乡村、幸福乡村、浪漫乡村以及和谐乡村的乡村旅游项目设计理念,得出＂情感旅游＂是乡村旅游发展重要方向的结论。     

中国移动通信业价格竞争本质解析

中国移动通信业的价格竞争,经过了无价格竞争阶段、显性价格竞争阶段、隐性价格竞争阶段、后价格竞争阶段的演化,体现了制度调节与市场选择并行的内在规律性,也增进了市场协调、提高了市场效率。中国移动通信业价格竞争具有非合作博弈的特性,行业管制与市场选择共同推动了竞争的有序化。因此,要实现中国移动通信市场的有效竞争,市场机制的作用是有限的,还离不开适当的政府行政参与下的不对称管制政策,而且不对称管制政策也需要根据市场变化进行调整和改进。     

The Coverage Properties of Confidence Regions After Model Selection

It is very common in applied frequentist (classical) statistics to carry out a preliminary statistical (i.e. data-based) model selection by, for example, using preliminary hypothesis tests or minimizing AIC. This is usually followed by the inference of interest, using the same data, based on the assumption that the selected model had been given to us  a priori . This assumption is false and it can lead to an inaccurate and misleading inference. We consider the important case that the inference of interest is a confidence region. We review the literature that shows that the resulting confidence regions typically have very poor coverage properties. We also briefly review the closely related literature that describes the coverage properties of prediction intervals after preliminary statistical model selection. A possible motivation for preliminary statistical model selection is a wish to utilize uncertain prior information in the inference of interest. We review the literature in which the aim is to utilize uncertain prior information directly in the construction of confidence regions, without requiring the intermediate step of a preliminary statistical model selection. We also point out this aim as a future direction for research.     

Labour adjustment costs: Estimation of a dynamic discrete choice model using panel data for Greek manufacturing firms

In this paper we estimate a dynamic structural model of employment at firm level. Our dataset consists of a balanced panel of 2790 Greek manufacturing firms. The empirical evidence of this dataset stresses three important stylized facts: (a) there are periods in which firms decide not to change their labour input, (b) there are periods of large employment changes (lumpy nature of labour adjustment) and (c) the commonality is employment spikes to be followed by smooth and low employment growth periods. Following Cooper and Haltiwanger [Cooper, R.W. and Haltiwanger, J. “On the Nature of Capital Adjustment Costs”, Review of Economic Studies, 2006; 73(3); 611–633], we consider a dynamic discrete choice model of a general specification of adjustment costs including convex, non-convex and “disruption of production” components. We use a method of simulated moments procedure to estimate the structural parameters. Our results indicate considerable fixed costs in the Greek employment adjustment.     

Optimal portfolios under worst-case scenarios

In standard portfolio theories such as Mean–Variance optimization, expected utility theory, rank dependent utility heory, Yaari’s dual theory and cumulative prospect theory, the worst outcomes for optimal strategies occur when the market declines (e.g. during crises), which is at odds with the needs of many investors. Hence, we depart from the traditional settings and study optimal strategies for investors who impose additional constraints on their final wealth in the states corresponding to a stressed financial market. We provide a framework that maintains the stylized features of the SP/A theory while dealing with the goal of security in a more flexible way. Preferences become state-dependent, and we assess the impact of these preferences on trading decisions. We construct optimal strategies explicitly and show how they outperform traditional diversified strategies under worst-case scenarios.     

Empirical Evidence of the Leverage Effect in a Stochastic Volatility Model: A Realized Volatility Approach

Increasing attention has been focused on the analysis of the realized volatility, which can be treated as a proxy for the true volatility. In this paper, we study the potential use of the realized volatility as a proxy in a stochastic volatility model estimation. We estimate the leveraged stochastic volatility model using the realized volatility computed from five popular methods across six sampling-frequency transaction data (from 1-min to 60- min) based on the trust region method. Availability of the realized volatility allows us to estimate the model parameters via the MLE and thus avoids computational challenge in the high dimensional integration. Six stock indices are considered in the empirical investigation. We discover some consistent findings and interesting patterns from the empirical results. In general, the significant leverage effect is consistently detected at each sampling frequency and the volatility persistence becomes weaker at the lower sampling frequency.     

成交量、持仓量对我国大豆类期货价差波动影响的实证分析

采用GARCH(1,1)模型就成交量、持仓量对大豆类期货价差波动率的影响进行实证分析,结果显示：当期成交量、持仓量对大豆期货价差波动的整体影响是显著的;滞后成交量、持仓量对大豆期货价差波动的整体影响也是显著的;当成交量、持仓量同时进入条件方差方程时,它们对大豆类期货价差波动的影响整体上也是显著的。这一结论揭示了我国大豆期货市场信息传递过程,验证了我国大豆期货市场的信息非有效性,对期货市场投资者以及期货市场监管者具有一定的借鉴意义。