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How data quality affects our understanding of the earnings distribution / / Reza C. Daniels
| How data quality affects our understanding of the earnings distribution / / Reza C. Daniels |
| Autore | Daniels Reza Che |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (xx, 114 pages) : illustrations (some color) |
| Soggetto topico |
Income distribution - Statistical methods
Mathematical statistics Distribució de la renda Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Methodology for Collecting
Estimating and Organizing Microeconomic Data Survey Methods Total Survey Error Response Propensity Models Multiple Imputation Income Distribution |
| ISBN | 981-19-3639-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 |
| Record Nr. | UNISA-996483153703316 |
Daniels Reza Che
|
||
| Singapore, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
How data quality affects our understanding of the earnings distribution / / Reza C. Daniels
| How data quality affects our understanding of the earnings distribution / / Reza C. Daniels |
| Autore | Daniels Reza Che |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (xx, 114 pages) : illustrations (some color) |
| Soggetto topico |
Income distribution - Statistical methods
Mathematical statistics Distribució de la renda Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Methodology for Collecting
Estimating and Organizing Microeconomic Data Survey Methods Total Survey Error Response Propensity Models Multiple Imputation Income Distribution |
| ISBN | 981-19-3639-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 |
| Record Nr. | UNINA-9910580174103321 |
|
Daniels Reza Che
|
||
| Singapore, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||