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

Format:

Book

Contributor:

Huynh, Kim P., editor.

Jacho-Chavez, David T., editor.

Tripathi, Gautam, editor.

Series:

Advances in econometrics ; 0731-9053 v. 39.

Advances in econometrics, 0731-9053 ; volume 39

Language:

English

Subjects (All):

Social surveys--Methodology.

Social surveys.

Econometrics.

Sampling (Statistics).

Physical Description:

1 online resource (338 pages).

Edition:

1st ed.

Place of Publication:

Bingley : Emerald Publishing Limited, [2019]

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.

Contents:

Prelims

Sampling design

Variance estimation

Estimation and inference

Applications in business, household, and crime surveys

Index.

Notes:

Includes index.

Print version record

ISBN:

1-78756-727-3

1-78756-725-7