The econometrics of complex survey data : theory and applications /

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Bibliographic Details
Edition:First edition.
Imprint:Bingley : Emerald Publishing Limited, 2019.
©2019
Description:1 online resource (xi, 325 pages) : illustrations
Language:English
Series:Advances in econometrics ; Volume 39
Advances in econometrics ; v. 39.
Subject:Sampling (Statistics)
Social surveys -- Methodology.
Econometrics.
Economics.
SOCIAL SCIENCE -- Essays.
SOCIAL SCIENCE -- Reference.
Econometrics.
Sampling (Statistics)
Social surveys -- Methodology.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12542091
Hidden Bibliographic Details
Other authors / contributors:Huynh, Kim P., editor.
Jacho-Chávez, David, editor.
Tripathi, Gautam, editor.
ISBN:9781787567252
1787567257
9781787567276
1787567273
9781787567269
1787567265
Notes:Includes bibliographical references and index.
Print version record.
Summary:This volume of Advances in Econometricscontains 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.
Other form:Print version: Econometrics of Complex Survey Data: Theory and Applications (Conference) (2017 : Ottawa, Ont.). Econometrics of complex survey data. First edition. Bingley, UK : Emerald Publishing, 2019 9781787567269
Description
Summary: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.
Physical Description:1 online resource (xi, 325 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781787567252
1787567257
9781787567276
1787567273
9781787567269
1787567265