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How to make estimates with compensation for nonresponse in statistical analysis of census data
Author(s) -
Milan Terek,
Eva Muchová,
Peter Leško
Publication year - 2021
Publication title -
journal of eastern european and central asian research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.223
H-Index - 5
eISSN - 2328-8280
pISSN - 2328-8272
DOI - 10.15549/jeecar.v8i2.619
Subject(s) - census , realization (probability) , sample (material) , american community survey , computer science , compensation (psychology) , population , econometrics , statistics , non response bias , geography , demography , mathematics , psychology , sociology , chemistry , chromatography , psychoanalysis
The paper deals with the problem of solving the nonresponse problem in a realized census. The purpose is to modify the method of poststratification using weights to compensate for nonresponse, which is known in sample surveys, for its application in censuses. The suggested approach offers more accurate estimates because of compensation for nonresponse and the possibility to formulate broader conclusions based on the census data. The approach is advised in all surveys in which the costs of realization the survey by the census, are practically the same as for sample survey and the list of all units of the population is available.

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