Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

财政教育支出的农村减贫效应研究——基于网络空间结构的分析

运用修正的引力模型测算出我国财政教育支出的空间关联关系,以及财政教育支出对农村减贫的空间关联影响效应。实证结果表明：我国财政教育支出在空间关联上呈现出复杂、多线程的网络结构;区域间财政教育支出差异和人力资本差异与农村贫困联动矩阵呈现显著负相关,区域间技术发展水平差异和经济发展水平差异与农村贫困联动矩阵呈现显著正相关。加强我国农村贫困的治理,需要考虑财政教育支出的空间关联作用,实施定向的、梯度推进的区域协同策略。     

农村普惠金融发展空间差异与集聚效应

基于中国农村普惠金融发展的空间地理特征,依据2006-2015年30个省市相关数据,测算农村普惠金融水平;建立空间自回归模型(SLM)和空间误差模型(SEM)检验普惠金融发展空间集聚效应.结果发现:各省市农村普惠金融指数总体呈上升趋势,农村普惠金融发展空间相关性逐年增强,局部空间差异逐渐缩小.普惠金融集聚与农民收入变化之间存在正空间相关性,普惠金融水平的提高能够促进农民收入水平的提高.鉴此,应加强区域空间金融合作,提高保险业普惠度;加强地方政府之间交流合作,发挥普惠金融集聚辐射作用,推动农民收入水平进一步提高.     

Do monetary subjective well-being evaluations vary across space? Comparing continuous and discrete spatial heterogeneity

Using subjective well-being estimations, this study analyzes whether compensating variations vary across space using a cross-sectional data set from Chile. To achieve this goal, it describes and compares two econometric ways of modelling unobserved spatial heterogeneity. Both approaches allow compensating variations to vary across spatial units by assuming some distribution a priori. One method assumes that the spatial heterogeneity can be represented by a discrete distribution (a group of regions that share the same coefficient) and the other that the preferences can be represented by a continuous distribution (each region has a different coefficient). The results show that focusing just on the average estimates of compensating variations, as the applied studies have done so far, masks useful local variation. More empirical studies are needed to assess the advantages and disadvantages of both econometric approaches and how their results compare across a wide range of conditions and samples.     

县域经济增长中结构红利的测度及决定 ——基于中国1 820个县面板数据的实证分析

产业结构升级是经济增长的源泉之一。本文基于中国1 820个县的面板数据，采用Translog生产函数估计要素弹性，进而测度县域经济增长中的结构红利，同时构建空间误差计量模型对结构红利的影响因素进行检验。研究结果表明2002-2010年间，结构红利占县域GDP总值的444%，对县域GDP增长的贡献达到了2435%。劳均资本、劳均土地等变量对结构红利有显著影响，本文还发现，在东部、中部、西部三个地区，财政支出占GDP的比重对结构红利都有显著的负向影响。     

The impact of temporary uses on property prices: the example of food trucks

Food trucks represent a temporary use of vacant or underutilised land. They have been assumed to increase the livability, vibrancy and attractiveness of a neighbourhood. However, no previous study has investigated whether this effect is reflected in property prices within the surrounding neighbourhood. We investigate the impact of a food truck pod on the values of single-family homes nearby. Using a quasi-experimental design, transaction data from Portland, Oregon and a difference-in-difference specification of a spatial regression model, we find that food trucks actually represent a negative externality, and that proximity of a home to food trucks is penalised by homebuyers. The closer a home is to the food trucks, the lower is the sales price. Explanations for this effect include increased parking shortages and trash issues in a neighbourhood due to food truck visitors.     

Informal Traders and the Battlegrounds of Revanchism in Cusco,Peru

Informal trading in the global South, particularly in Latin America, is the subject of revanchist urban policy and yet few studies have examined the longer‐term impacts of such intolerant policies on traders. This article explores the evolution and impacts of revanchist policies directed at informal traders in the Andean city of Cusco. It makes two key contributions. First, it documents a shift from early revanchist policies to a post‐revanchist era where policies have become more tolerant of informal traders. However, contemporary policies fall short of a supportive environment for informal trading, hence the authors recommend changes that will ensure informal traders can access the city's streets and become an accepted part of the urban fabric. Second, given the lack of theoretical attention given to the impacts of revanchism, a battlegrounds framework is developed, consisting of spatial, political, economic and socio‐cultural battlegrounds. This framework provides a comprehensive insight into the complex set of interactions that exist between informal traders and the state. It is hoped that the framework will provide a tool for further research into the highly damaging impacts of revanchism across the globe.     

Cultural Differences in Online Community Motivations: Exploring Korean Automobile Online Brand Communities (KAOBCs) and American Automobile Online Brand Communities (AAOBCs)

To gain a better understanding of online brand communities, this study has examined why people joined in online brand communities and whether there were some differences in the motivations of Internet users based on different cultures. Open-ended questions were asked to the community members from both South Korean Automobile Online Brand Communities (KAOBC) and American Automobile Online Brand Communities (AAOBC) in the first stage and then generated and utilized an online survey for the study. The study found that KAOBC members tended to have a stronger social network, business, and communication motivations than AAOBC members. As a primary motivation, information seeking is the strongest motivation for members of both KAOBC and AAOBC. They had a similar level of information motivation.     

北部湾城市群自然资本利用状况、空间分析与驱动因素

以北部湾城市群为例用三维生态足迹模型、偏最小二乘法、空间计量模型分析了其自然资本利用状况、空间相关性、驱动因素。结论:(1)城市群自然资本利用处于不可持续状态;(2)自然资本利用程度划分为低、中、高三类,城市也相应分成三类;(3)自然资本利用的主要驱动因素是人口因素、社会经济;(4)空间分析显示全局莫兰指数为正,空间集聚显著,表明自然资本利用存在空间正相关;空间误差模型拟合度最好,并证明自然资本存量占用与人口总量正相关,与GDP总额负相关。     

当前差别存款准备金政策的制约因素及对策

差别准备金动态调控政策是我国建立逆周期宏观审慎管理框架,防范金融机构系统性风险的重要举措。本文围绕宏观审慎管理念和差别化调控思路,结合淄博市法人金融机构的具体情况,分析了2011年差别准备金动态调控中遇到的机制障碍,就如何完善差别准备金动态调控工具提出了政策建议。