Exchange rate regime classifications and exchange rate variability

It is well known that the exchange rate regime (ERR) declared to the IMF is often different from the actual regime. Several alternative schemes for de facto regime classification have been developed. In this article, we compare the ability of four popular schemes to track exchange rate variability (ERV). We find that the existing ERR classifications do not match well with the degree of ERV, especially for intermediate regimes. For instance, in the Levy-Yeyati and Sturzenegger (2003) coding, the intermediate regimes exhibit greater ERV than the floaters. On the other hand, for the Reinhart and Rogoff (2004) coding, the fixers show greater variability than some intermediates.     

Patents,R&D subsidies,and endogenous market structure in a schumpeterian economy

This study explores the different implications of patent breadth and R&D subsidies on economic growth and endogenous market structure in a Schumpeterian growth model. We find that when the number of firms is fixed in the short run, patent breadth and R&D subsidies serve to increase economic growth as in previous studies. However, when market structure adjusts endogenously in the long run, R&D subsidies increase economic growth but decrease the number of firms, whereas patent breadth expands the number of firms but reduces economic growth. Therefore, in accordance with empirical evidence, R&D subsidy is perhaps a more suitable policy instrument than patent breadth for the purpose of stimulating long‐run economic growth.     

金融发展、技术进步与产业结构升级 —基于西部12省面板数据的经验分析

选取1994-2015年西部12省的数据,采用静态面板模型研究三者之间的关系。结果表明：西部地区金融发展对技术进步存在轻微抑制作用;金融发展对产业结构的调整作用主要体现在第二产业比例的提升;技术进步推动产业结构升级的作用并不明显。最后提出完善金融发展体系,强化金融支持力度;提高科技创新能力,依托技术进步培育新兴优势产业;积极发展现代服务业以促进二三产业协调发展等建议。     

在线教育在高职课堂教学中应用的实证研究

在线教育的蓬勃发展,对传统教学模式发生着巨大的冲击.以“蓝墨云”APP为代表的在线教学新形势的应用为例,通过问卷,调查了解高职学生对在线教学的理解和态度,以研究在线教育在高职教学中的发展态势,从而为教师们在线教育模式冲击下探索职业教育新模式提供帮助.     

Local influence analysis for Poisson autoregression with an application to stock transaction data

In statistical diagnostics and sensitivity analysis, the local influence method plays an important role and has certain advantages over other methods in several situations. In this paper, we use this method to study time series of count data when employing a Poisson autoregressive model. We consider case‐weights, scale, data, and additive perturbation schemes to obtain their corresponding vectors and matrices of derivatives for the measures of slope and normal curvatures. Based on the curvature diagnostics, we take a stepwise local influence approach to deal with data with possible masking effects. Finally, our established results are illustrated to be effective by analyzing a stock transactions data set.     

可重构递进式过程化考核模式的探讨

在分析普通高等教育课程考核中所采用的多种优化型考核模式的基础上,提出了可重构递进式过程化考核模式,通过实例进行了展示。该考核模式分阶段、分项目进行,考核项目及时间段可由教师视具体教学情况合理、灵活地调整和重构。不仅对受试者学习程度进行考核,同时跟踪教学进度。考核对阶段性教学效果进行反馈,教师依据考核结果调整和修订教学内容、方式和进度,达到了同时对教与学两方面进行考核和促进的双重目的。     

基于Internet的房地产数字化营销分析

从购房者学历、房地产独特的商品属性、网络营销的广告低成本等方面入手,分析了房地产网上数字化营销的可行性,以及目前房地产市场网络数字化营销的运作情况,探讨了房地产数字化营销的实现机理,并展望了房地产网络数字化营销的发展方向,即从平面型、文本式的广告模式,向立体犁、数字化广告模式发展。     

长三角区域创新差异和位序规模体系研究

从经济地理学的角度出发,运用区域经济发展差异的相关指标,采用长江三角洲16个城市(2003—2008年)的专利申请授权和专利申请受理量作为创新变量对创新活动进行分析。通过计算变差系数、基尼系数和赫芬达尔系数,发现长三角地区各城市在两个专利变量上的相对差异变化均呈下降趋势,首位度指标则显示创新第二高城市距离创新最高城市——上海的差距在逐年减小;然后基于位序—规模分布理论研究长三角区域创新活动规模的发展趋势,发现其模式呈分散均衡型分布。最后,归纳出促使长三角区域创新差异缩小的重要因素,并提出了若干建议。     

信息不对称视角下的中小企业融资困境分析

近年来在央行货币政策趋紧的背景下,中小企业融资难的呼声越来越高,在中小企业密集的长三角、珠三角地区出现了倒闭潮,其生存状况甚至比金融危机的时候还要艰难。针对该情况,本文从信息不对称的视角,分析了商业银行与中小企业、商业银行信贷人员与商业银行、中介机构与商业银行、中小企业与民间资本这四重信息不对称关系,借助海英纳模型,得出解决信息不对称是缓解中小企业融资困境的重要环节,并提出相应的建议。     

高斯白噪声下L阵二维波达方向快速估计

针对L型阵列,提出一种在高斯白噪声环境下的二维波达方向(DOA)快速估计方法。首先利用阵列结构特点构建两个互协方差矩阵,同时实现了噪声分量的有效抑制,再依据协方差矩阵的性质构造了波达方向矩阵。对该矩阵进行一次特征分解即可分别得到包含方位角和俯仰角信息的方向矢量和方向元素,实现二维DOA估计。该算法避免了传统算法的谱峰搜索或大矩阵构造及其特征分解过程,计算量小,且参数自动配对。仿真结果表明,该算法在低性噪比和少快拍下的估计精度与2D ESPRIT算法近似,但计算复杂度大幅降低,适用于实时性高的工程应用背景。