基于农业产业化的河南省区域差距研究

文章通过泰尔指数发现从1990年到2005年，河南省区域经济的差距处于一个快速扩大的阶段。通过定量分析发现，河南省区域经济发展水平和发展速度与农业生产具有一定的负相关性，通过定性和定量分析发现，农业产业化对区域差距缩小具有一定的作用，但不起主要作用，一是由于目前河南省农业产业化水平相对还是比较低，农业收入还仅仅停留于农产品的买卖价格，工资性收入所占比重过低，二是农业产业化龙头企业带动能力还是比较弱，带动面小，限制了农区经济的发展水平和速度，最后提出了几点建议。     

The Tax‐smoothing Hypothesis: Evidence from Sweden, 1952–1999

This paper tests Barro's (1979) tax‐smoothing hypothesis using Swedish central government data for the period 1952–1999. According to the tax‐smoothing hypothesis, the government sets the budget surplus equal to expected changes in government expenditure. When expenditure is expected to increase, the government runs a budget surplus, and when expenditure is expected to fall, the government runs a budget deficit. The empirical evidence suggests that the model provides a useful benchmark and that tax‐smoothing behavior can explain about 60 percent of the variability in the Swedish central government budget surplus.     

Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models

The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naïve models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.     

我国城镇居民小康水平评价研究

通过对我国城镇居民小康水平的指标进行分析 ,设置了度量小康水平的评价指标体系 ,构建了评价我国城镇居民小康水平的因子分析模型 ,并应用该模型对我国城镇居民小康水平进行了合理的评价。     

北京先行经济指数研究

"北京先行经济指数"是我国第一个区域性先行经济指数,在试运行中取得了很好的效果。该指数以我国现行统计制度为基础,紧密结合北京实际,通过构造基准循环、"提取"先行指标、编制指数、返回检验等步骤,对北京先行经济指数的科学性和有效性进行了分析。先行指数超前GDP增速变化4～8个月这一重要研究结论在返回检验中得到了很好的证实。     

关于不确定情况下净现值投资评价指标的探讨

文章对在不确定性情况下净现值（NPV）投资评价指标的有效性进行了探讨，提出在运用该指标评价项目时必须要考虑到风险的大小对项目决策的影响，并根据投资项目的统计特征。阐述了在此情况下该指标的计算。最后以实例进一步说明该计算方法的有效性。从而使项目的投资决策更为科学合理。     

平衡记分卡在建筑企业管理中的应用

在本的研究中，分析了平衡计分卡如何在建筑企业管理中应用的问题。从平衡计分卡所含的四个方面出发，阐述平衡计分法在建筑企业实施的步骤，并为四类具体的目标找出最具有意义的业绩衡量指标。此外，结合建筑企业实际情况，分析了在建筑企业管理中应用平衡计分卡值得注意的问题。并针对如何克服平衡计分卡在建筑企业实施中的障碍，进一步给出了几点建议。     

A Semiparametric Method for Valuing Residential Locations: Application to Automated Valuation

This paper is motivated by automated valuation systems, which would benefit from an ability to estimate spatial variation in location value. It develops theory for the local regression model (LRM), a semiparametric approach to estimating a location value surface. There are two parts to the LRM: (1) an ordinary least square (OLS) model to hold constant for interior square footage, land area, bathrooms, and other structural characteristics; and (2) a non-parametric smoother (local polynomial regression, LPR) which calculates location value as a function of latitude and longitude. Several methods are used to consistently estimate both parts of the model. The LRM was fit to geocoded hedonic sales data for six towns in the suburbs of Boston, MA. The estimates yield substantial, significant and plausible spatial patterns in location values. Using the LRM as an exploratory tool, local peaks and valleys in location value identified by the model are close to points identified by the tax assessor, and they are shown to add to the explanatory power of an OLS model. Out-of-sample MSE shows that the LRM with a first-degree polynomial (local linear smoothing) is somewhat better than polynomials of degree zero or degree two. Future applications might use degree zero (the well-known NW estimator) because this is available in popular commercial software. The optimized LRM reduces MSE from the OLS model by between 5 percent and 11 percent while adding information on statistically significant variations in location value.     

河北省工业经济运行分析

本文运用经济效益综合指数法,对河北工业经济运行进行分析。     

中国商务中心区区位分布研究

明确传统商务中心区与现代商务中心区的内涵,归纳商务中心区发展的三种模式,提出了理想的商务中心区发展模式是市场和政府有限引导共同作用的二元驱动模式。在世界范围内将商务中心区划分为四个等级,建立了建设和发展商务中心区满意度的评价指标体系。选择了26个有代表性的城市作为样本城市,采用聚类分析法,将样本城市划分为四大类别。提出了在中国现阶段商务中心区可能的区位分布是:上海、北京、广州和重庆,而其他城市的商务中心区可以考虑建设成为传统商务中心区。最后,进行了商务中心区合理布局的对策分析。