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Research on Statistical Matching and its Applications to Household Data

家庭数据统计匹配及其应用研究

基本信息

批准号：
14330006
负责人：
YOSHIZOE Yasuto
金额：
$ 4.1万
依托单位：
Aoyama Gakuin University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2002
资助国家：
日本
起止时间：
2002 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14330006/
关键词：
micro data Family Income Survey Family Savings Survey Engel curve price index child cost exact matching statistical matching

项目摘要

Statistical matching, which is also called "data fusion" in Europe, is a method to combine multiple data files to produce a pseudo data set by matching similar individuals in different files. Such a combined data set is usually unavailable.In our research, we obtained the data for twenty years (1980-2000) from Family Income and Expenditure Survey and Family Savings Survey by a legal procedure, and performed various analyses using matched files. Part of our research was published as papers, and other experiments are presented as working papers. Papers presented at conferences are "Income, Expenditure and Savings of Worker's Household - an Examination of Life Cycle Permanent Income Hypothesis," (Japanese Economic Society), "Analysis of Inequality among Worker's Household using micro data from Family Income and Expenditure Survey and Family Savings Survey," (Japan Statistical Society), and "Decomposition of Consumer Behavior into Cohort Effect, Age Effect, and Time Effect using Microdata," (Japan Statistical Society).We also investigated some theoretical issues of statistical matching methodology and collected applications in Europe, including Berlin session of the International Statistical Institute held in August 2003. The result was published in a paper.

统计匹配，在欧洲也称为“数据融合”，是通过匹配不同文件中的相似个体，将多个数据文件组合在一起，产生一个伪数据集的方法。这样的组合数据集通常是不可用的。在研究中，我们通过法律程序获取了《家庭收支调查》和《家庭储蓄调查》二十年（1980-2000）的数据，并使用匹配文件进行了各种分析。我们的部分研究以论文的形式发表，其他实验以工作论文的形式发表。在会议上发表的论文有“工人家庭的收入、支出和储蓄——对生命周期永久收入假设的检验”（日本经济学会），“使用家庭收入和支出调查和家庭储蓄调查的微观数据分析工人家庭的不平等”（日本统计学会），以及“使用微数据将消费者行为分解为队列效应、年龄效应和时间效应”（日本统计学会）。我们还研究了统计匹配方法的一些理论问题，并收集了欧洲的应用情况，包括2003年8月在柏林举行的国际统计研究所会议。研究结果发表在一篇论文中。