The econometrics of complex survey data :  theory and applications / 
edited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi. 
 - 1 online resource (xi, 325 pages). 
 - Advances in econometrics,  volume 39  0731-9053 ; .
 - Advances in econometrics ;  v. 39. .
<br/><br/> Includes index. 
<br/><br/>Prelims -- Sampling design -- Variance estimation -- Estimation and inference -- Applications in business, household, and crime surveys -- Index. 
<br/><br/> 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.  
<br/><br/><label>ISBN: </label>9781787567252 (e-book) 9781787567276 (ePUB) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Social surveys--Methodology.<br/>Econometrics.<br/>Sampling (Statistics)<br/>Business & Economics--Economics--General.<br/>Economics.
<br/><br/><label>LC Class. No.: </label>HM538  / .E26 2019 
<br/><br/><label>Dewey Class. No.: </label>300.723 
<br/><br/><label>Universal Decimal Class. No.: </label>316.4