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首页> 外文期刊>Review of Income and Wealth >COMBINING HOUSEHOLD INCOME AND EXPENDITURE DATA IN POLICY SIMULATIONS
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COMBINING HOUSEHOLD INCOME AND EXPENDITURE DATA IN POLICY SIMULATIONS

机译：在政策模拟中结合家庭收入和支出数据

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摘要

The analysis of the distributional impact of fiscal policy proposals often requires information on household expenditures and incomes. It is unusual to have one data source with information on both and this problem is generally overcome with statistical matching of independent data sources. In this paper Grade Correspondence Analysis (GCA) is investigated as a tool to improve the matching process. GCA draws out the relationships between the common variables to enable the sample to be partitioned into more homogeneous groups, prior to matching. An evaluation is conducted using the UK Family Expenditure Survey, which is unusual in containing both income and expenditure at a detailed level of disaggregation. Imputed expenditures are compared with actual expenditures through the use of indirect tax simulations. The most successful methods are then employed to enhance data from the Family Resources Survey and the synthetic dataset is used as a microsimulation model database.
机译：对财政政策建议的分配影响的分析通常需要有关家庭支出和收入的信息。一个数据源同时具有两者的信息是不寻常的，通常通过对独立数据源进行统计匹配可以解决此问题。本文研究了等级对应分析（GCA）作为改进匹配过程的工具。 GCA绘制出公共变量之间的关系，以便在匹配之前将样本划分为更均匀的组。使用英国家庭支出调查进行评估，这在包含详细分类的收入和支出方面都是不寻常的。通过使用间接税模拟将估算的支出与实际支出进行比较。然后采用最成功的方法来增强来自家庭资源调查的数据，并将合成数据集用作微观模拟模型数据库。

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