中日韩自由贸易区的贸易流量和福利效应分析:一个局部均衡的校准方法

校准方法作为一种确定数理经济模型中的变量和参数的手段之一,在贸易政策的建模研究中得到广泛的应用.本文以局部均衡为基础,利用中日韩三国自1990～2003年共14年的贸易额及相关数据建立校准模型,并对拟议中的中日韩自由贸易区做出比较静态分析,从产业层面来模拟中日韩自由贸易区建成后所可能带来的福利效应.分析结果表明,中日韩三国建立自由贸易区会增加彼此的国民福利水平,并会对未加入贸易协定的其他东亚国家产生影响.因此,在东亚形成更为广泛的自由贸易安排从区域合作的角度来看是一种更佳的合作方式.     

商业银行盈利能力影响因素的实证分析——基于偏最小二乘回归（PLSR）算法

运用偏最小二乘回归模型及其辅助分析手段对商业银行盈利能力影响因素进行一次深入、细致、系统的梳理。研究表明,影响商业银行盈利能力的前六大因素依次为净息差、资产质量、成本收入比、风险承受能力、金融创新及存贷比,而银行资产规模对盈利能力的贡献度最低。为提升商业银行盈利能力,必须强化金融创新能力、防控商业银行风险、完善金融监管体制。     

Partial moment volatility indices

Forward‐looking partial moment volatility indices are developed using state‐pricing, called the bear index (BEX) and bull index (BUX). Using S&P 500 index (SPX) option prices, we find that BEX and BUX provide superior forecasts for the lower and upper partial moments of future market realised volatility, respectively. We examine the relation between SPX returns and changes in BEX and BUX at the daily level. Results are consistent with the volatility feedback hypothesis. Further, we show that BEX may be more suitable as the ‘investor fear gauge’ than VIX.     

Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises

The current study examines the effect of disinvestment (dilution of state ownership) and local political corruption on R&D spending in enterprises owned by the central government of India. Based on certain characteristic features of innovation as a strategy available to state-owned enterprises, I build two sets of hypotheses formalising the channels of how these variables may affect the possibility and amount of R&D. Data is drawn from multiple sources to compile a dataset that covers all manufacturing central government-owned enterprises in India over a period of ten years from 2007 to 2016. The study employs an instrumental variable technique to reduce the endogeneity between disinvestment and R&D decisions. We find that, while disinvestment and local political corruption have strong negative effects on whether a firm invests in R&D or not, it has no effect on the amount of R&D. In fact, the amount is driven by a host of firm-specific factors such as size, profit and proficiency of the share of skilled labor, managerial strength and non-unionisation of labor. We also find that the effects are strongly driven by the size of firms, special status awarded to firms and the ideology of the state where the enterprise operates.     

Private benefits from control block trades in the Spanish stock exchange

A control block trade can be explained by the expectation of financial gains, shared by all shareholders, or by the expectation of private benefits, exclusive to the buyer and possibly at the expense of other shareholders’ rents. The market for corporate control contributes to social welfare when it improves the efficiency of the allocation of resources. When the objective of a block transaction is private benefits, social welfare may be negatively impacted as minority shareholders could withdraw from the market. Therefore the estimation of private benefits would allow the efficiency of the market for corporate control to be assessed. Specifically, the aim of this paper is to calculate private benefits in the Spanish market for partial control. Using a sample of partial control transactions over the period 1990–2016, we find that the median of private benefits is negative, therefore it appears that there is no inefficient use of resources in the Spanish partial control market as a whole, however private costs are detected. The variability of private benefits is explained in a significant way by variables related to the control structure of the target firm, such as the controlling position of the buyer after the transaction, the contestability of control and the cross-shareholdings between the buyer and large shareholders. Performance and the size of the firm are significant as well.     

Health and cosmetics: Investigating consumers’ values for buying organic personal care products

In investigating consumers’ intentions to re-purchase organic personal care products (PCP), this study extends the theory of planned behaviour by including perceived value dimensions as the antecedents of attitude in the model. The findings revealed that most of the hypothesised relationships linking the consumer perceived value constructs (namely, health, safety, hedonic and environmental) with attitude towards the rebuying of organic PCP, were supported. Also, better product knowledge about organic PCP would lead to more positive attitudes towards re-purchasing the product. In contrast, social value was not important in predicting attitude. Similarly, the influence of subjective norm on rebuying intention was not supported. In terms of ranking of importance with regards to prediction of re-purchasing intention, attitude was the most important predictor followed by perceived behavioural control, product knowledge, hedonic value, environmental value and safety value.     

Monitoring as a partially observable decision problem

Monitoring is an important and costly activity in resource management problems such as containing invasive species, protecting endangered species, preventing soil erosion, and regulating contracts for environmental services. Recent studies have viewed optimal monitoring as a Partially Observable Markov Decision Process (POMDP), which provides a framework for sequential decision making under stochastic resource dynamics and uncertainty about the resource state. We present an overview of the POMDP framework and its applications to resource monitoring. We discuss the concept of the information content provided by monitoring systems and illustrate how information content affects optimal monitoring strategies. Finally, we demonstrate how the timing of monitoring in relation to resource treatment and transition can have substantial effects on optimal monitoring strategies.     

Using partial identification methods to estimate the effect of violence against women on their children’s health outcomes

A growing literature in economics seeks to estimate the costs of violence against women by examining, for example, its impact on the health outcomes of their children. However, it is difficult to assign a causal interpretation to these nonexperimental studies due to the presence of unobservable characteristics affecting violence and health outcomes simultaneously. The lack of credible instrumental variables applicable in several countries further limits our knowledge. I address this gap by using new partial identification methods to estimate the relative size of the unobservables needed to eliminate the estimated effects in nonexperimental studies. I also expand the external validity of the analysis by using data from five standardized nationally representative household surveys in Latin America. Consistent with previous studies, cross-sectional estimates show large negative associations between violence against women and an array of child health outcomes. However, when accounting for omitted variable bias, at best, two-thirds of the estimates remain robust and they are concentrated on the outcomes with the largest cross-sectional estimated impacts.     

金融市场化进程是否改变了中国货币政策不同传导渠道的相对效应？

本文利用SVAR模型脉冲偏导分离技术,从利率市场化和影子银行两个维度测算了金融市场化进程对货币政策不同传导渠道相对地位的影响。实证结果揭示了中国货币政策传导的一些重要特征:第一,以信贷渠道为代表的数量化渠道效应要强于以利率和汇率渠道为代表的价格渠道,并且该结果没有因金融市场化的推进而改变。第二,利率市场化的推进主要强化了利率渠道的作用,但一定程度上弱化了其他渠道尤其是信贷渠道的作用。第三,影子银行的发展,强化了资产价格渠道的效应,而相对弱化了信贷渠道和利率渠道的效应。研究为在金融与实体经济市场仍存在一定程度摩擦的条件下,央行采用价格与数量货币政策调控方式有机结合的必要性与有效性,提供了实证支持。同时研究还表明,要充分发挥利率市场化改革完善货币政策价格传导机制的作用,既需要加强对各种形式金融创新的监管,还需要实体经济体系进一步市场化改革相配合。