02537nam a2200493Ii 4500 9781787567252 UtOrBLW 20251029120216.0 m o d cr un||||||||| 190415s2019 enk o 001 0 eng d 9781787567252 (e-book) 9781787567276 (ePUB) UtOrBLW eng rda UtOrBLW HM538 .E26 2019 KC bicssc BUS069000 bisacsh 316.4 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 resource (xi, 325 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in econometrics, 0731-9053 ; volume 39 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. Print version record Social surveys Methodology. 59804 Econometrics. 57695 Sampling (Statistics) 59805 Business & Economics Economics General. bisacsh 57965 Economics. bicssc 58354 Huynh, Kim P., editor. 59806 Jacho-Chavez, David T., editor. 59807 Tripathi, Gautam, editor. 59808 9781787567269 Advances in econometrics ; v. 39. 0731-9053 57700 https://www.emerald.com/insight/publication/doi/10.1108/S0731-9053201939 51572 51572