Beta and firm age

We document a robust pattern of beta declining over the age of a firm. We find that changes in systematic risk via firm characteristics and life-cycle stages are insufficient to explain this pattern. Moreover, standard proxies for the quantity and quality of information also explain this pattern only partially. To fully explain this pattern we rely on the increasingly important role of familiarity in financial decision making: familiarity is a determinant of beta and firm age is a proxy for the degree of familiarity that investors feel toward individual stocks. To illustrate the implication of our findings, we document that when we control for firm age there is support for the CAPM and its use as an input for the cost of equity capital calculation.     

我国省级区域金融发展对经常项目的影响研究——基于货物贸易视角的分析

本文选取我国大陆31个省(市、自治区)2007年-2018年的面板数据,综合运用系统GMM和差分GMM估计方法,实证检验了沿海与内陆、沿边与非沿边、享受优惠政策高与低、金融控制强与弱等4类不同省区金融发展对经常项目余额的影响。研究结果表明:使用全部样本估计时,金融发展显著负向影响经常项目余额,这一结论经稳健性检验后依然成立。使用不同区域的子样本估计时,金融发展对沿海省区、非沿边省区、享受优惠政策高以及金融控制弱省区的经常项目余额的抑制作用较大,而在其他省区作用较小。因此,各地区应充分利用金融手段来调整进出口余额,以保证经常项目的持续平衡。     

参与电商会促进猕猴桃种植户绿色生产技术采纳吗?——基于倾向得分匹配的反事实估计

本文利用陕西、四川两省686户猕猴桃种植户的调查数据,在采用变异系数法度量猕猴桃种植户绿色生产技术采纳程度的基础上,利用倾向得分匹配法构建反事实框架,实证分析参与电商对猕猴桃种植户绿色生产技术采纳的影响效应。结果表明:猕猴桃种植户绿色生产子技术的重要性依次为测土配方施肥技术、物理防治技术、套袋技术、无公害农药使用技术、有机肥施用技术;在控制样本选择偏差后,参与电商对猕猴桃种植户绿色生产技术采纳有显著的正向影响;参与电商对不同资本禀赋的猕猴桃种植户绿色生产技术采纳的促进效应存在差异;参与电商通过提升产品价格预期、提升经济收益水平、提升信息获取能力、追求正向社会评价四条路径来影响猕猴桃种植户的绿色生产技术采纳。     

Using stated response choice data to enrich revealed preference discrete choice models

There is growing interest in exploring the view that both revealed preference (RP) and stated preference (SP) data have useful information and that their integration will enrich the overall explanatory power of RP choice models. These two types of data have been independently used in the estimation of a wide variety of discrete choice applications in marketing. In order to combine the two data sources, each with independent choice outcomes, allowance must be made for their different scaling properties. The approach uses a full information maximum likelihood estimation procedure of the hierarchical logit form to obtain suitable scaling parameters to make one or more data sets comparable. We illustrate the advantages of the dual data strategy by comparing the results with those obtained from models estimated independently with RP and SP data. Data collected as part of a study of high speed rail is used to estimate a set of illustrative mode choice models.     

资本永续盘存法及其国内应用

资本存量数据是宏观经济运行政策研究的重要决定因素。资本存量核算比较复杂，在理论与技术两个层面都存在诸多问题难以厘清。我国资本统计十分薄弱，数据可得性成为资本存量估算的严重制约。在我国经济增长研究中，如何准确估算资本存量一直是困扰研究者的难题。学术界需要使用这方面数据，又促使很多学者基于各自的研究目的对我国资本存量进行估算。这些研究分别利用不同的假设和处理方法，这使我国资本存量数据出现了差异很大的众多版本。本文在对资本存量估算方法进行梳理之后，对我国资本估算现有研究进行了回顾和评论。     

存在自相关时自回归模型的估计和检验

讨论存在自相关情况下自回归模型中随机解释变量的内生性,指出目前的计量经济理论所存在的问题,证明了随机误差存在自相关情况下一阶自回归模型和高阶自回归模型的随机解释变量与随机误差都不相关,同时改进了自回归模型的估计和检验方法。     

微观企业全要素生产率测度方法的比较与应用

微观企业TFP通常是不可观测的,它的估计面临内生性、联立性等诸多问题。在系统分析微观生产函数估计所面临主要问题的基础上,经过蒙特卡洛模拟法,比较了微观生产函数最新估计方法的优劣,发现广泛应用的OP、LP和ACF参数估计方法,倾向于高估微观企业的TFP,而De Loecker、GNR和联合估计的TFP测度方法能够得到TFP的稳健估计,增加值类生产函数估计倾向于高估微观企业的TFP,并且高估TFP的离散程度。将前沿TFP测度方法用于中国生产要素错误配置问题的研究,发现要素再配置具有显著的TFP促进效应,但是低于Hsieh和Klenow(2009)政策模拟的估计结果。据此,提出以微观企业TFP开展实证研究的对策建议。     

Combining the minimum-variance and equally-weighted portfolios: Can portfolio performance be improved?

It is documented in the literature that due to estimation errors, mean-variance efficient portfolios deliver no higher out-of-sample Sharpe ratios than does the naïve equally-weighted portfolio (EWP). This paper demonstrates how the out-of-sample performance of the minimum-variance portfolio (MVP) can be improved in the presence of estimation errors by combining the MVP and EWP. Our results indicate that an appropriate combination of the MVP and EWP can enhance Sharpe ratios under any scenarios considered, and can also reduce the portfolio risk if short-selling is allowed. However, the combination strategy is not able to generate a lower risk level than the MVP when a short-selling restriction is imposed. We find that the optimal combination coefficient depends on the factors that greatly impact estimation errors in the MVP, including sample size, estimation method, no-short-selling restriction, and length of the out-of-sample period under consideration.     

European farms’ participation in agri-environmental measures

Due to their diversity and voluntariness, agri-environmental measures (AEMs) are among the Common Agricultural Policy instruments that are most difficult to assess. We provide an EU-wide analysis of AEM adoption and farm’s total AEM support over total Utilised Agricultural Area using a Heckman sample selection approach and single farm data. Our analysis covers 22 Member States over the 2000–2009 period, assesses the entire portfolio of AEMs and focuses on the relationship between AEM participation and farming system. Results show that participation in AEMs is more likely in less intensive production systems, where, however, per committed hectare AEM premiums tend to be lower. Member States group into three categories: high/low intensity farming systems with low/high AEM enrollment rates, respectively, and large high diversity countries with medium AEM enrollment rates.