中文摘要：

本文以2005—2009年的全国数据为样本,从理论与实证上比较分析了地区与国家GDP数据衔接的三种方法,即Geary和Stark的产出估算方法、线性调整法与辅助回归法,比较结果显示：①从理论上分析,三种方法都有其合理性,只是辅助回归法较另两种方法更可取。②从衔接效果上看,辅助回归法优于Geary和Stark的产出估算方法,Geary和Stark的产出估算方法又优于线性调整法。不过不同的方法皆有相应的适用场合与特点以及不同的衔接效果,因而只能说三种方法中有趋优的方法,但不能明确断定何种方法可以具体应用于实际数据衔接中并能达到良好的调整效果。

英文摘要：

Subjected to national data and using 2005 - 2009 year data for sample, this paper made a comparative study from theoretical and empirical evidence on three data convergence methods about regional and national GDP accounting including Stark and Geary＇ s Output Estimation Method, Linear Adjustment Method and Auxiliary Regression Method. Comparison results show： （ 1 ） Each method has its own rationality from theoretical analysis perspective, but Auxiliary Regression Method is more desirable than the other two methods. （2） From the perspective of convergence effects, Auxiliary Regression Method is superior to Geary and Stark＇s Output Estimation Method, and Geary and Stark＇s Output Estimation Method is better than Linear Adjustment Method. Due to each method has its own applied situation, characteristics and convergence effects, we can only concluded that there is only near-optimal method among the three methods but not clearly determine which method can be applied to the actual data convergence and can be adjusted to achieve good results.