Statistical Analysis by Linking Micro Data on Establishments and Households

结合机构和家庭微观数据进行统计分析

• 批准号: 09206204
• 负责人: FUNAOKA Fumio
• 金额: $ 5.06万
• 依托单位: SHINSHU UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-09206204/
• 关键词: Data Linkage; Statistical Matching; National Survey of Family Income and Expenditure; Commercial Survey; Employments Status Survey; 全国消費実態調査; 就業構造基本調査; データ・リンケージ; パネルデータ; 家計調査; 貯蓄動向調査; 商業統計

After divided the Iwatsubo research team of 1996 into Tarumi g and Funaoka research teams, we, Funaoka team, studied statistical data linkage, and created new statistics data.(1) Collection of business names under the same business establishment in Commercial Survey and made new information and investigate how establishment development of business was related with result of business activity. We analyzed the data of commercial business establishment (no less than 50 stores for retail business). We expand our analysis to commercial business (no less than capital 20 million yen).It becomes clear that the expansions of stores reduce profits, the firm age is related to profitability, area development does not necessarily increase profits, business expansions of multiple dimensions reduces profits.(2) Data linkage concerning households are made for Family Income and Expenditure Survey and Saving Survey as small scale experiments to tackle with identifying problems of households and search for useful linkage keys.We intend to statistically link between Employment Status Survey and National Survey of Family Income and Expenditure and analyze job mobility. We analyzed employment status and job mobility using Employment Status Survey. We emphasize importance of labor supply factors from household characteristics as opposed to the usual approach of labor demand.Linkage of this data set with National Survey of Household Income and Expenditure remains as a future study during our terms of research.

在1996年岩坪研究小组分为垂海和船冈研究小组之后，我们船冈小组研究了统计数据连接，并创建了新的统计数据。(1)收集商业调查中同一企业机构下的企业名称，并获取新信息，调查企业机构发展与业务活动结果的关系。我们分析了商业机构的数据（零售业不少于50家门店）。我们将分析扩展到商业业务（资本金2000万日元以上），可以看出，店铺的扩张会降低利润，企业的年龄与利润率有关，地区的发展不一定会增加利润，多维度的业务扩张会降低利润。(2)为了解决家庭的问题，寻找有用的关联键，作为小规模试验，在家庭收支调查和储蓄调查中进行了家庭数据的关联，并打算在就业状况调查和全国家庭收支调查之间进行统计关联，分析就业流动性。我们使用就业状况调查来分析就业状况和工作流动性。我们强调从家庭特征来分析劳动力供给因素的重要性，而不是通常的劳动力需求方法。将该数据集与全国家庭收入和支出调查相关联仍然是我们研究期间的未来研究。

项目成果

舟岡,史雄: "企業・世帯調査における個別情報のリンケージによる統計分析" 統計情報活用のフロンティアの拡大の総括的研究. 2. 152-159 (1998)

Funaoka，Fumio：“在商业和家庭调查中使用个人信息的链接进行统计分析”关于扩大统计信息利用前沿的综合研究。2. 152-159 (1998)。

Fumio Funaoka: "Statistical Analysis by Linking Micro Data on Establishments and Households"Exploring New Frontiers in Statistical Analysis Using Micro Data Sets. Vol.2. 152-159 (1998)

Fumio Funaoka：“通过链接机构和家庭的微观数据进行统计分析”探索使用微观数据集的统计分析新领域。

船岡史雄: "企業・世帯調査における個別情報のリンケージによる統計分析"統計情報活用のフロンティアの拡大の総括的研究. 2. 152-159 (1998)

Fumio Funaoka：“在商业和家庭调查中使用个人信息的链接进行统计分析”关于扩大统计信息利用前沿的综合研究。2. 152-159 (1998)。