如何基于高水平无应答的人口普查数据分析两个类别变量之间的关联

IF 0.9 Q3 ECONOMICS

Scientific Annals of Economics and Business Pub Date : 2023-03-21 DOI:10.47743/saeb-2023-0009

Milan Terek, E. Muchová, P. Leško

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引用次数: 0

摘要

统计调查经常用于制定管理政策和做法。在本文中，我们研究了如何基于人口普查数据分析两个无应答率较高的分类变量之间的关联。目的是讨论建议的调查方法。我们使用了斯洛伐克一所大学进行的调查中的人口普查数据来测试新的过程。所提出的过程提供了分析两个分类变量之间关联的方法，该方法基于从高水平无应答的人口普查数据估计的伪总体。我们建议在调查中使用这样的流程，即人口普查执行调查的成本实际上与抽样调查成本没有什么不同，并且可以连接到所有人口单位。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse

Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss the suggested approach to the investigation. We used the census data from the survey executed at one Slovak University for testing the new process. The proposed process offers the methods of analysis of the association between two categorical variables based on pseudo-population estimated from the census data with a high level of nonresponse. We recommend using the process in the surveys in which the costs of survey execution by the census are practically not different from sample survey costs, and the connections to all units of the population are available.

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来源期刊

Scientific Annals of Economics and Business ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： The Journal called Scientific Annals of Economics and Business (formerly Analele ştiinţifice ale Universităţii "Al.I. Cuza" din Iaşi. Ştiinţe economice / Scientific Annals of the Alexandru Ioan Cuza University of Iasi. Economic Sciences), was first published in 1954. It is published under the care of the Alexandru Ioan Cuza University, the oldest higher education institution in Romania, a place of excellence and innovation in education and research since 1860. Throughout its editorial life, the journal has been continuously improving. Renowned professors, well-known in the country and abroad, have published in this journal. The quality of the published materials is ensured both through their review by external reviewers of the institution and by the editorial staff that includes professors for each area of interest. The journal published papers in the following main sections: Accounting; Finance, Money and Banking; Management, Marketing and Communication; Microeconomics and Macroeconomics; Statistics and Econometrics; The Society of Knowledge and Business Information Systems.