财政政策与货币政策的动态调控效应*——基于时变参数向量自回归模型的检验

本文廓清了财政政策与货币政策搭配动态调控宏观经济的机理，揭示了两者协调影响经济的“黑箱”机制及其在经济不同阶段的搭配方式；运用中国2004—2019年的经济季度数据，构建TVP SV VAR模型探究两类政策对宏观经济的调控效应。研究发现：财政政策与货币政策共同把控流动性“闸门”实现互动协调；财政政策搭配货币政策具有时变性，在整体上“同向发力”推动经济发展；两类政策对产出的影响并非始终如理论一致，在结构层面仍有优化靶向性操作的余地。     

珠三角工业设计与工业互动比较研究：双重需求拉动与设计驱动增长的区域验证

动态比较珠三角工业发展阶段和设计水平不同的典型区域内，工业用户和最终消费者用户双重需求拉动设计创新以及设计驱动工业增长作用机制的异同，提出克服互动系统短板并因地制宜实施设计驱动转型升级的对策建议。基于SVAR建模的脉冲响应和方差分解分析发现：珠三角工业确实可以通过工业设计创新驱动实现内生性可持续增长，而设计水平的地区差异对设计驱动绩效有调节作用；工业发展质量和结构欠佳，无法有效拉动区域工业设计创新，是珠三角多数地区工业设计有效需求不足的根本原因。区域工业设计与工业互动系统的短板是缺乏内行和挑剔的最终消费者有效需求。最后基于模型稳健性检验，提出因地制宜科学实施设计驱动发展战略的对策建议。     

Online adaptive lasso estimation in vector autoregressive models for high dimensional wind power forecasting

Wind power forecasts with lead times of up to a few hours are essential to the optimal and economical operation of power systems and markets. Vector autoregression (VAR) is a framework that has been shown to be well suited to predicting for several wind farms simultaneously by considering the spatio-temporal dependencies in their time series. Lasso penalisation yields sparse models and can avoid overfitting the large numbers of coefficients in higher dimensional settings. However, estimation in VAR models usually does not account for changes in the spatio-temporal wind power dynamics that are related to factors such as seasons or wind farm setup changes, for example. This paper tackles this problem by proposing a time-adaptive lasso estimator and an efficient coordinate descent algorithm for updating the VAR model parameters recursively online. The approach shows good abilities to track changes in the multivariate time series dynamics on simulated data. Furthermore, in two case studies it shows clearly better predictive performances than the non-adaptive lasso VAR and univariate autoregression.     

不平衡时代的创新与创业研究

不平衡是新时代的基本特征。对于创新与创业而言，正是因为时代的不平衡而孕育了更多具有时代特色的创新想法和创业机会，也正是因为时代的不平衡为中国情境下的创新创业研究理论开发带来了更多挑战。在此背景下，首先，客观环境的不平衡来自创业者的主动感知，解决不平衡问题需要提高创业者的创新、创业能力，而能力的提升离不开创业认知加工和积极心理资本发挥作用。创业者通过环境扫描进行信息加工从而引发认知变革。创业团队知识和经验异质性带来了积极的心理资本。其次，合法性是创业企业在不平衡时代中得以生存和发展的"强心剂"。创业学习、关系网络都有助于企业获取合法性、解决新企业的合法性困境。创业企业战略选择和战略导向对于创业合法性也具有直接或间接的影响。最后，创业与创新融合下的商业模式创新逐渐成为不平衡时代的研究热点。商业模式创新需要适宜的资源开发、机会开发或机会-资源一体化开发行为支持，且机会、资源的开发还离不开由"环境-组织-个体"所组成的多层次影响因素发挥的联动效应。     

资源依赖、制度安排与区域创新能力 —基于空间杜宾模型

区域创新能力提升是我国加快建设创新型国家、实现高质量发展的现实需求。 本文通过构建涵盖资源依赖、制度安排与区域创新能力的理论模型分析其内在关系并提出假 说，运用2000-2016年全国30个省（区、市）的面板数据与空间杜宾模型，检验三者之间的影 响及空间溢出效应。研究结果表明：（1）资源依赖程度越高，越不利于本地区创新能力提升；（2）有效率的制度安排对区域创新能力有正向促进作用；（3）从空间溢出效应来看，本地区 资源依赖程度越高，越抑制周边地区区域创新能力提升，有效的制度安排能助推周边地区创新能力提高。     

Exploring the development trend of internet finance in China: Perspective from club convergence

We first employ β-conditional convergence and log t regression tests based on nonlinear time-varying factor model and club clustering algorithm to analyze the convergence characteristics of the development level of Internet finance in 335 prefecture-level cities in China. The result of log t regression test illustrates that there is no convergence as a whole in the development level of China's Internet finance. However, seven convergence clubs and a divergent group have been formed, and the development level and growth rate of Internet finance among these convergence clubs have shown obvious differences. Moreover, we also employ the Ordered Probit to explore the formation mechanism of the convergence clubs. The results reveal that the regions with a higher level of economic development, traditional financial development, economic openness and Internet development are more inclined to converge in a club with a higher Internet finance development level. Alternatively, the regions that are interfered with more by the government or that have a lower degree of marketization, tend to converge in a club with a lower level. Finally, according to the conclusions, we propose corresponding policy recommendations for promoting the regional coordinated development of China's Internet finance.     

The cointegrated vector autoregressive model with general deterministic terms

In the cointegrated vector autoregression (CVAR) literature, deterministic terms have until now been analyzed on a case-by-case, or as-needed basis. We give a comprehensive unified treatment of deterministic terms in the additive model $X_t=\gamma Z_t+Y_t$, where $Z_t$ belongs to a large class of deterministic regressors and $Y_t$ is a zero-mean CVAR. We suggest an extended model that can be estimated by reduced rank regression, and give a condition for when the additive and extended models are asymptotically equivalent, as well as an algorithm for deriving the additive model parameters from the extended model parameters. We derive asymptotic properties of the maximum likelihood estimators and discuss tests for rank and tests on the deterministic terms. In particular, we give conditions under which the estimators are asymptotically (mixed) Gaussian, such that associated tests are ${\chi }^2$-distributed.     

Functional Itô calculus†

We extend some results of the Itô calculus to functionals of the current path of a process to reflect the fact that often the impact of randomness is cumulative and depends on the history of the process, not merely on its current value. We express the differential of the functional in terms of adequately defined partial derivatives to obtain an Itô formula. We develop an extension of the Feynman-Kac formula to the functional case and an explicit expression of the integrand in the Martingale Representation Theorem. We establish that under certain conditions, even path dependent options prices satisfy a partial differential equation in a local sense. We exploit this fact to find an expression of the price difference between two models and compute variational derivatives with respect to the volatility surface.     

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Sources of fluctuations in hours worked for Canada,Germany, Japan and the U.S.: a sign restriction VAR approach

This study empirically examines the sources of fluctuations in hours worked in Canada, Germany, Japan and the U.S. It is particularly motivated by Galí’s (1999) VAR study, which demonstrates that a positive technology shock reduces hours worked, at least in the short run. However, in the present study, a technology shock is identified without recourse to Galí’s long-run restriction, which has been subject to active controversy. Furthermore, this study uncovers other important sources of fluctuations in hours worked to reflect the concern, raised by numerous studies, that technology shocks leave most variations in hours worked unexplained. Specifically, there are six shocks underlying our model, and they are identified using a set of sign restrictions. The empirical results confirm that in all four countries, a positive technology shock significantly reduces hours worked. This technology shock, along with labor supply and demand shocks, accounts for most of the short-term variations in hours worked. As the forecasting horizon increases, technology and demand shocks become less important, whereas labor supply shocks contribute to explaining the bulk of long-run variations in hours worked. Finally, the empirical relevance of Galí’s long-run identification restriction is tested and the results are related to those obtained using the sign restriction model.