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

Milan Terek, Eva Muchová and Peter Leško
Additional contact information
Milan Terek: School of Management in Bratislava, Slovak Republic
Eva Muchová: University of Economics in Bratislava, Slovak Republic
Peter Leško: University of Economics in Bratislava, Slovak Republic Dolnozemská cesta 1 852 35 Bratislava Slovak Republic

Scientific Annals of Economics and Business (continues Analele Stiintifice), 2023, vol. 70, issue 1, 71 - 81

Abstract: 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.

Keywords: census data; nonresponse; association between two categorical variables; residuals; odds ratio. (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://saeb.feaa.uaic.ro/index.php/saeb/article/view/1602 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aic:saebjn:v:70:y:2023:i:1:p:71-81:n:7

Access Statistics for this article

More articles in Scientific Annals of Economics and Business (continues Analele Stiintifice) from Alexandru Ioan Cuza University, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Sireteanu Napoleon-Alexandru ().