出口贸易、工业碳排放效率动态演进与空间溢出

以2003~2012年我国30个省级经济单元为研究对象,从技术进步视角出发,利用包含非期望产出的SBM模型测算各省份工业碳排放效率,运用非参数Kernel密度估计方法研究各省份出口贸易和工业碳排放效率的动态演进过程,构建空间杜宾模型进一步考察出口贸易对工业碳排放效率的影响。研究结果表明：我国东部地区的工业碳排放效率最高,依次为中部、西部地区和东北综合经济区;核密度曲线展现出口贸易整体处于上升态势,工业碳排放效率呈现双峰趋同;在考虑空间因素后,出口贸易对本地区的工业碳排放效率改善产生促进作用,但对其他地区的工业碳排放效率增长产生抑制作用,也有碍于所有地区碳排放效率的提升。     

WEIGHTED‐AVERAGE LEAST SQUARES (WALS): A SURVEY

Model averaging has become a popular method of estimation, following increasing evidence that model selection and estimation should be treated as one joint procedure. Weighted‐average least squares (WALS) is a recent model‐average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a credible treatment of ignorance, and is extremely fast to compute. We review the theory of WALS and discuss extensions and applications.     

国际原油价格对我国新能源行业股票价格的波动溢出效应研究

在大气污染日益严峻的情况下,新能源行业受政府大力支持和投资者青睐。新能源与原油一定程度上互为替代品,理论上国际原油价格必然对我国新能源行业股票价格有显著的波动溢出效应,但有些学者却持反对态度,认为我国股票市场对外还没有完全开放,新能源行业发展又很不成熟,所以该溢出效应很难显著。文章运用VAR- Asymmetric- BEKK模型进行比较研究得出：在未去除我国整体股市行情因素时,国际原油价格波动对我国新能源行业股票价格波动溢出效应不显著;而在去除我国整体股行情因素时,国际原油价格波动对我国新能源行业股票价格波动溢出效应在1%显著性水平下显著。表明存在从国际原油价格向我国新能源行业股票价格的波动溢出效应,只是该溢出效应被我国股市总体行情掩盖了。     

Assessing the role of futures position substitutability in a monthly slaughtered pork factor demand by US processors: a cointegrated VAR model approach

This article combines cointegrated VAR modelling with basic neoclassical production microeconomics in a new way that tests for, and illuminates the empirical nature of, the monthly US pork processing sector’s factor demand for slaughtered pork. Statistical evidence strongly suggests that the US pork processing sector has a Hicksian Cobb–Douglas slaughtered pork demand that arises from applying Shephard’s lemma to the sector’s cost function and that US pork processors treat slaughtered pork and related futures positions as close factor substitutes. In the wake of major and ongoing futures market events and trends, this study establishes and statistically tests a theoretical link between futures price movements and impacts on the underlying slaughtered pork market through monthly formation of US pork processors’ factor demand for slaughtered pork. Evidence suggests that demand agents shift between demands for the two substitutes based on movements in the slaughter/futures price ratio that results in a market-stabilizing cushion against sharp pork price movements such as those observed in the late-1990s. Statistical and diagnostic evidence suggests that our modelled non-experimental data and estimated Hicksian demand that arose from the cointegrated VAR model’s cointegration space met Haavelmo’s setting of passive variables and associated ceteris paribus conditions.     

Dynamic model averaging in large model spaces using dynamic Occam׳s window

Bayesian model averaging has become a widely used approach to accounting for uncertainty about the structural form of the model generating the data. When data arrive sequentially and the generating model can change over time, Dynamic Model Averaging (DMA) extends model averaging to deal with this situation. Often in macroeconomics, however, many candidate explanatory variables are available and the number of possible models becomes too large for DMA to be applied in its original form. We propose a new method for this situation which allows us to perform DMA without considering the whole model space, but using a subset of models and dynamically optimizing the choice of models at each point in time. This yields a dynamic form of Occam׳s window. We evaluate the method in the context of the problem of nowcasting GDP in the Euro area. We find that its forecasting performance compares well with that of other methods.     

基于VAR的我国能源效率与能源结构关系的实证分析

本文基于VAR模型,实证分析1953～2014年我国能源效率与能源结构两者之间的动态关系。研究发现：能源效率与能源结构之间存在长期稳定的均衡关系,二者呈现正相关;在长期,能源效率与能源结构具有明显的促进作用。脉冲响应函数及方差分解分析了影响能源效率的主要影响因素,并提出了相关的政策建议。     

城镇化、收入分配与进口贸易

城镇化是中国经济持续发展的重要战略平台,影响着个人收入水平的变动及收入分配差距的变化,从而对进口贸易规模及结构产生影响。本文通过VAR模型的构建、Granger因果检验和脉冲图,对城镇化发展影响个人收入分配差距、个人收入分配差距影响中国进口贸易进行分析。研究结果表明：城镇化发展对个人收入分配差距具有长期、相互的影响作用,个人收入分配差距变化对进口贸易增长具有正态效应。应采取相应措施,通过个人收入分配媒介,发挥城镇化对进口贸易的刺激效能。     

Economic impact of hypoglycemia among insulin-treated patients with diabetes

Objective: The objective of this study was to assess the cost of hypoglycemic events among insulin-treated patients with diabetes and the potential cost savings to a hypothetical US health plan and employer of reducing hypoglycemic events with a device intervention.

Methods: A cost-calculator model was developed to estimate the direct costs of hypoglycemic events, accounting for diabetes type, age, and event severity. Model inputs were derived from published incidence rates of hypoglycemic events and direct medical costs. Assumed intervention efficacy was based on published studies of an emerging technology which yielded 72.2% (LGS Trial; ACTRN12610000024044) and 31.8% (ASPIRE Trial; NCT01497938) reductions in severe and non-severe hypoglycemic events, respectively. Model outcomes—including the number of severe (requiring medical assistance) and non-severe events, and direct/indirect medical costs (excluding intervention costs)—were evaluated over a 1-year period for a hypothetical health plan and employer perspectives.

Results: In a health plan with 10 million enrollees, patients without the intervention would have experienced 0.09 and 14.60 severe and non-severe hypoglycemic events per patient per year (PPPY), respectively (vs 0.02 severe and 9.96 non-severe events with the intervention). This translated into total direct medical cost savings of $45 million ($177 PPPY) for the health plan. For an employer with 100,000 employees, the intervention would have yielded additional savings of $492 PPPY in indirect costs.

Conclusion: Insulin-treated patients experience hypoglycemic events, which are associated with substantial direct and indirect medical costs. The cost savings of reducing hypoglycemic events need to be weighed against the costs of using diabetes device interventions.     

货币政策、消费品和投资品通货膨胀——基于金融加速器视角

本文建立一个包含消费品和投资品生产的两部门新凯恩斯DSGE模型,并且引入金融加速器以分析货币政策对消费品和投资品通货膨胀的影响机制,同时使用1999Q1至2015Q4的中国宏观经济数据对模型进行贝叶斯估计。估计结果表明,两个部门的菲利普斯曲线都具有较高的价格粘性。外部融资溢价对两个部门企业投资的影响存在异质性,投资品部门的金融加速器效应更加明显。脉冲响应分析表明货币政策扩张时,投资品部门的产出和通胀膨胀上升幅度比消费品部门更大。理论模型的脉冲响应与VAR实证分析得到的经验事实相一致。金融摩擦导致的消费品和投资品部门需求结构的异质性是解释货币政策对两个部门影响差异的关键。数值模拟分析发现金融加速器机制主要改变货币政策对投资品产出和通货膨胀的影响,对消费品部门影响改变较小。方差分解结果表明加总技术冲击、投资边际效率冲击和货币政策冲击是经济波动的主要来源。     

互联网金融、存款竞争与银行风险承担

本文通过构建纳入互联网金融的银行环形城市模型,推演了“互联网金融→存款结构/付息成本→银行风险承担”的传导机制。在此基础上,以2003-2016年我国83家商业银行为样本,建立多重中介效应模型进行实证检验。研究结果表明:(1)互联网金融发展经由恶化存款结构和抬高付息成本两种渠道显著加重了银行风险承担水平,其中,恶化存款结构效应的相对贡献为50%左右,抬高付息成本效应的相对贡献为35%左右;(2)相较于互联网渠道构筑业态,互联网支付结算、互联网资源配置和互联网财富管理业态对银行存款结构和付息成本的不利影响更为强烈;(3)相对于国有、大规模、低流动性和低资本充足率商业银行,面对互联网金融的冲击,非国有、小规模、高流动性和高资本充足率商业银行的客户存款流失更快,平均付息成本上涨更多。