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How Data Quality Affects our Understanding of the Earnings Distribution

Reza Che Daniels - Personal Name;

This open access book demonstrates how data quality issues affect all surveys and proposes methods that can be utilised to deal with the observable components of survey error in a statistically sound manner. This book begins by profiling the post-Apartheid period in South Africa's history when the sampling frame and survey methodology for household surveys was undergoing periodic changes due to the changing geopolitical landscape in the country. This book profiles how different components of error had disproportionate magnitudes in different survey years, including coverage error, sampling error, nonresponse error, measurement error, processing error and adjustment error. The parameters of interest concern the earnings distribution, but despite this outcome of interest, the discussion is generalizable to any question in a random sample survey of households or firms.


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Detail Information
Series Title
-
Call Number
XX, 114
Publisher
Springer Singapore : Springer Singapore., 2022
Collation
-
Language
English
ISBN/ISSN
978-981-19-3639-5
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
1
Subject(s)
Statistical Theory and Methods
African history
Specific Detail Info
-
Statement of Responsibility
Reza Che Daniels
Other Information
Cataloger
-
Source
https://link.springer.com/book/10.1007/978-981-19-3639-5
Validator
Suwardi
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
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  • How Data Quality Affects our Understanding of the Earnings Distribution
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