一、研究背景近年来,随着中国G D P的逐年增加,中国已经成为世界第二大经济体,这吸引着全世界瞩目的目光。而伴随G D P的不断走高,中国物价指数与货币供应量也在不断增加。而货币供应量更是呈现一种指数增长的趋势。这不得不让我们深思...一、研究背景近年来,随着中国G D P的逐年增加,中国已经成为世界第二大经济体,这吸引着全世界瞩目的目光。而伴随G D P的不断走高,中国物价指数与货币供应量也在不断增加。而货币供应量更是呈现一种指数增长的趋势。这不得不让我们深思:究竟是货币供应量的增加导致了中国G D P的增加还是中国G D P的增加使得货币供应量增多。展开更多
Impacts of returns on assets are not instantaneously felt, since there is lag period. In this paper we consider the problem of developing a model for the conditional QPDL (quantile polynomial distributed lag) and in...Impacts of returns on assets are not instantaneously felt, since there is lag period. In this paper we consider the problem of developing a model for the conditional QPDL (quantile polynomial distributed lag) and investigate the influences of the conditioning variables on the location, scale and shape parameters of the QPDL model. As an economic application, we consider the production of rubber and its price returns ofSri Lanka. From the analysis we observed that the QPDL model applications were better estimators than the PDL (Polynomial Distributed Lag) models.展开更多
为分析影响交通事故的主要道路影响因子,选取道路结构、道路附属设施、交通基础设施等方面的16个解释变量,考虑交通事故分布的过度分散性、零膨胀性及空间相关性,构建空间滞后-零膨胀负二项回归模型,并利用赤池信息准则(Akaike informat...为分析影响交通事故的主要道路影响因子,选取道路结构、道路附属设施、交通基础设施等方面的16个解释变量,考虑交通事故分布的过度分散性、零膨胀性及空间相关性,构建空间滞后-零膨胀负二项回归模型,并利用赤池信息准则(Akaike information criterion,AIC)和贝叶斯信息准则(Bayesian information criterion,BIC)、模型残差的空间依赖性检验等指标将其与常用的普通最小二乘(ordinary least square,OLS)等回归模型进行对比。结果显示,所提模型的拟合效果最优;车道数、道路宽度、平均车速等因子对交通事故的发生具有显著影响。展开更多
文摘一、研究背景近年来,随着中国G D P的逐年增加,中国已经成为世界第二大经济体,这吸引着全世界瞩目的目光。而伴随G D P的不断走高,中国物价指数与货币供应量也在不断增加。而货币供应量更是呈现一种指数增长的趋势。这不得不让我们深思:究竟是货币供应量的增加导致了中国G D P的增加还是中国G D P的增加使得货币供应量增多。
文摘Impacts of returns on assets are not instantaneously felt, since there is lag period. In this paper we consider the problem of developing a model for the conditional QPDL (quantile polynomial distributed lag) and investigate the influences of the conditioning variables on the location, scale and shape parameters of the QPDL model. As an economic application, we consider the production of rubber and its price returns ofSri Lanka. From the analysis we observed that the QPDL model applications were better estimators than the PDL (Polynomial Distributed Lag) models.
文摘为分析影响交通事故的主要道路影响因子,选取道路结构、道路附属设施、交通基础设施等方面的16个解释变量,考虑交通事故分布的过度分散性、零膨胀性及空间相关性,构建空间滞后-零膨胀负二项回归模型,并利用赤池信息准则(Akaike information criterion,AIC)和贝叶斯信息准则(Bayesian information criterion,BIC)、模型残差的空间依赖性检验等指标将其与常用的普通最小二乘(ordinary least square,OLS)等回归模型进行对比。结果显示,所提模型的拟合效果最优;车道数、道路宽度、平均车速等因子对交通事故的发生具有显著影响。