How data quality affects our understanding of the earnings distribution / / Reza C. Daniels.
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...
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| Place / Publishing House: | Singapore : : Springer,, 2022. ©2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (xx, 114 pages) :; illustrations (some color) |
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(CKB)5700000000100487 (MiAaPQ)EBC7028997 (Au-PeEL)EBL7028997 (OCoLC)1334995976 (oapen)https://directory.doabooks.org/handle/20.500.12854/87693 (PPN)263902943 (EXLCZ)995700000000100487 |
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Daniels, Reza Che. How data quality affects our understanding of the earnings distribution / Reza C. Daniels. Singapore Springer Nature 2022 Singapore : Springer, 2022. ©2022. 1 online resource (xx, 114 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Introduction A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys Questionnaire Design and Response Propensities for Labour Income Micro Data Univariate Multiple Imputation for Coarse Employee Income Data Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution 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. Description based on publisher supplied metadata and other sources. English University of Cape Town Income distribution Statistical methods. Mathematical statistics. Distribució de la renda thub Estadística matemàtica thub Llibres electrònics thub Methodology for Collecting Estimating and Organizing Microeconomic Data Survey Methods Total Survey Error Response Propensity Models Multiple Imputation Income Distribution 981-19-3638-2 |
| language |
English |
| format |
eBook |
| author |
Daniels, Reza Che. |
| spellingShingle |
Daniels, Reza Che. How data quality affects our understanding of the earnings distribution / Introduction A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys Questionnaire Design and Response Propensities for Labour Income Micro Data Univariate Multiple Imputation for Coarse Employee Income Data Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution |
| author_facet |
Daniels, Reza Che. |
| author_variant |
r c d rc rcd |
| author_sort |
Daniels, Reza Che. |
| title |
How data quality affects our understanding of the earnings distribution / |
| title_full |
How data quality affects our understanding of the earnings distribution / Reza C. Daniels. |
| title_fullStr |
How data quality affects our understanding of the earnings distribution / Reza C. Daniels. |
| title_full_unstemmed |
How data quality affects our understanding of the earnings distribution / Reza C. Daniels. |
| title_auth |
How data quality affects our understanding of the earnings distribution / |
| title_new |
How data quality affects our understanding of the earnings distribution / |
| title_sort |
how data quality affects our understanding of the earnings distribution / |
| publisher |
Springer Nature Springer, |
| publishDate |
2022 |
| physical |
1 online resource (xx, 114 pages) : illustrations (some color) |
| contents |
Introduction A Framework for Investigating Micro Data Quality, with Application to South African Labour Market Household Surveys Questionnaire Design and Response Propensities for Labour Income Micro Data Univariate Multiple Imputation for Coarse Employee Income Data Conclusion: How Data Quality Affects our Understanding of the Earnings Distribution |
| isbn |
981-19-3639-0 981-19-3638-2 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA276-280 |
| callnumber-sort |
QA 3276 3280 |
| genre |
Llibres electrònics thub |
| genre_facet |
Llibres electrònics |
| illustrated |
Illustrated |
| oclc_num |
1334995976 |
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AT danielsrezache howdataqualityaffectsourunderstandingoftheearningsdistribution |
| status_str |
n |
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(CKB)5700000000100487 (MiAaPQ)EBC7028997 (Au-PeEL)EBL7028997 (OCoLC)1334995976 (oapen)https://directory.doabooks.org/handle/20.500.12854/87693 (PPN)263902943 (EXLCZ)995700000000100487 |
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How data quality affects our understanding of the earnings distribution / |
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