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The econometrics of complex survey data : theory and applications / edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi.

Contributor(s): Huynh, Kim P [editor.] [editor.] | Jacho-Chavez, David T [editor.] [editor.] | Tripathi, Gautam [editor.] [editor.]Material type: TextTextSeries: Advances in econometrics: v. 39.Publisher: Bingley, U.K. : Emerald Publishing Limited, 2019Copyright date: ©2019Description: 1 online resource (xi, 325 pages)Content type: Media type: Carrier type: ISBN: 9781787567252 (e-book)Subject(s): Social surveys -- Methodology | Econometrics | Sampling (Statistics) | Business & Economics -- Economics -- General | EconomicsAdditional physical formats: No titleDDC classification: 300.723 LOC classification: HM538 | .E26 2019Online resources: eBook-Emerald
Contents:
Prelims -- Sampling design -- Variance estimation -- Estimation and inference -- Applications in business, household, and crime surveys -- Index.
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.
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Includes index.

Prelims -- Sampling design -- Variance estimation -- Estimation and inference -- Applications in business, household, and crime surveys -- 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.

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