Interactions between real economic and financial sides of the US economy in a regime-switching environment

This objective of this study is to examine the linkages between real (economic) and financial variables in the United States in a regime-switching environment that accounts explicitly for high volatility in the stock market and high stress in financial markets. Since the linearity test shows that the linear model should be rejected, we employ the Markov-switching VECM to examine the same objective using the Bayesian Markov-chain Monte Carlo method. The regime-dependent impulse response function (RDIRF) highlights the increasing importance of the financial sector of the economy during stress periods. The responses and their fluctuations are significantly greater in the high-volatility regime than in the low-volatility regime.     

Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach

This paper uses a spatial econometrics approach to study the industry risks in China’s stock market. We comprehensively consider the real linkage and information risk transmission channels and analyze the risk spillovers of specific determinants. Our empirical results show the following: 1) The real linkage channel and information channel are both effective transmission channels for driving spillover effects, and the information channel is of the utmost importance. 2) The spillover effects of specific determinants exist and are persistent. The superposition of spillover effects may lead to extreme risk. 3) The transmission channels and spillover effects are asymmetric in different regimes.     

Threshold effects of terms of trade on Latin American growth

This paper investigates nonlinear relationships between terms of trade volatility (totvol) and economic growth in 14 Latin American economies from 1997 to 2014. In the 2000s, Latin American countries experienced accelerated economic growth often attributed to commodity price booms. We split the sample into two regimes based on totvol thresholds determined by bootstrap techniques. Fixed effects, instrumental variable and dynamic panel regressions address endogeneity in trade growth, subject to traditional economic channels such as domestic investment, population growth, exchange rate, government size, and institutions. We find statistically significant thresholds and stronger trade-growth links during the 2000s commodity boom and in larger economies.     

基于TOPSIS法的辽宁省经济水平评价

考虑到经济水平评价问题的重要性,以辽宁省14个市为研究对象,选取了人均生产总值、职工平均工资等七个反映经济水平的指标,通过熵值法确定各个指标的权重,并利用TOPSIS法客观合理地对辽宁省的14个城市2009年的经济水平进行了综合评价,并给出了排名。     

港口物流模式及选择方法研究

根据我国港口发展的特点和趋势,探讨港口物流发展模式的分类,并确定影响港口物流发展的因素,进而研究合理模式的选择方法。     

Estimation of tail‐related risk measures in the Indian stock market: An extreme value approach

The purpose of the study is to estimate tail-related risk measures using extreme value theory (EVT) in the Indian stock market. The study employs a two stage approach of conditional EVT originally proposed by McNeil and Frey (2000) to estimate dynamic Value at Risk (VaR) and expected shortfall (ES). The dynamic risk measures have been estimated for different percentiles for negative and positive returns. The estimates of risk measures computed under different quantile levels exhibit strong stability across a range of the selected thresholds, implying the accuracy and reliability of the estimated quantile based risk measures.     

基于认识论的案例教学法——美国商学院的经验

案例教学是美国商学院重要的教学手段,以建构主义认识论为理论基础。本文以此认识论为基础,致力于探讨美国商学院案例教学中教师与学生的不同角色定位,倡导商学院教育应注重传授缄默知识,并具体分析了美国商学院案例教学对我国的借鉴意义。     

A general endogenous grid method for multi-dimensional models with non-convexities and constraints

The endogenous grid method (EGM) significantly speeds up the solution of stochastic dynamic programming problems by simplifying or completely eliminating root-finding. We propose a general and parsimonious EGM extended to handle (1) multiple continuous states and choices, (2) multiple occasionally binding constraints, and (3) non-convexities such as discrete choices. Our method enjoys the speed gains of the original one-dimensional EGM, while avoiding expensive interpolation on multi-dimensional irregular endogenous grids. We explicitly define a broad class of models for which our solution method is applicable, and illustrate its speed and accuracy using a consumption–saving model with both liquid assets and illiquid pension assets and a discrete retirement choice.     

国土资源数据整合方案设计及其实现研究

研究目的：基于国土资源数据现状,提出有效整合方案,为国土资源信息化建设提供借鉴。研究方法：以ETL技术框架为基础,结合数据挖掘技术和GIS技术,设计符合国土资源数据整合要求的解决方案,并以常州市为例进行实证研究。研究结果：数据整合方案有效快捷地解决了常州市国土资源数据整合。研究结论：方案智能化提高了数据整合过程的数据分析能力、处理能力和效率,有效地从国土资源数据本身解决了整合难题,对市县级国土资源数据整合有借鉴意义。     

我国农业补贴政策实施效果的模拟分析

在对我国农业补贴政策的实施现状进行分析的基础上,通过构建投入产出模型,对我国粮食直接补贴政策和最低收购价政策所产生的影响分别进行了模拟分析。结果表明,粮食直接补贴政策的实施会对农业内部产生较大的影响,而对其他部门的影响相对较弱;粮食最低收购价政策的实施,会对农业部门内部的畜牧业的影响较大,并且更多地是直接影响;在对非农业部门的影响中,对化学工业的影响最大,其中既有直接影响又有间接影响。