The econometrics of complex survey data: theory and applications
This volume of Advances in Econometrics contains a selection of papers presented at the "Econometrics of Complex Survey Data: Theory and Applications" conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.The papers included in this volume span a range of met...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Bingley, U.K.
Emerald Publishing Limited
2019
|
| Schriftenreihe: | Advances in econometrics
volume 39 |
| Links: | https://doi.org/10.1108/S0731-9053201939 |
| Zusammenfassung: | This volume of Advances in Econometrics contains a selection of papers presented at the "Econometrics of Complex Survey Data: Theory and Applications" conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data.For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential. |
| Beschreibung: | Includes index. |
| Umfang: | 1 Online-Ressource (xi, 325 Seiten) |
| ISBN: | 9781787567276 (ePUB) 9781787567252 (e-book) |
| ISSN: | 0731-9053 |
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| 520 | |a This volume of Advances in Econometrics contains a selection of papers presented at the "Econometrics of Complex Survey Data: Theory and Applications" conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data.For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential. | ||
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| spelling | The econometrics of complex survey data theory and applications edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi Bingley, U.K. Emerald Publishing Limited 2019 ©2019 1 Online-Ressource (xi, 325 Seiten) txt c cr Advances in econometrics 0731-9053 volume 39 Includes index. This volume of Advances in Econometrics contains a selection of papers presented at the "Econometrics of Complex Survey Data: Theory and Applications" conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.The papers included in this volume span a range of methodological and practical topics including survey collection comparisons, imputation mechanisms, the bootstrap, nonparametric techniques, specification tests, and empirical likelihood estimation using complex survey data.For academics and students with an interest in econometrics and the ways in which complex survey data can be used and evaluated, this volume is essential. Huynh, Kim P. Jacho-Chavez, David T. Tripathi, Gautam Erscheint auch als Druck-Ausgabe 9781787567269 |
| spellingShingle | The econometrics of complex survey data theory and applications |
| title | The econometrics of complex survey data theory and applications |
| title_auth | The econometrics of complex survey data theory and applications |
| title_exact_search | The econometrics of complex survey data theory and applications |
| title_full | The econometrics of complex survey data theory and applications edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi |
| title_fullStr | The econometrics of complex survey data theory and applications edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi |
| title_full_unstemmed | The econometrics of complex survey data theory and applications edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi |
| title_short | The econometrics of complex survey data |
| title_sort | econometrics of complex survey data theory and applications |
| title_sub | theory and applications |
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