02623nam 2200577I 450 991079344300332120190415084703.01-78756-727-31-78756-725-7(CKB)4100000007877923(MiAaPQ)EBC5743727(UtOrBLW)9781787567252(EXLCZ)99410000000787792320190415d2019 uy 0engurun|||||||||txtrdacontentcrdamediacrrdacarrierThe econometrics of complex survey data theory and applications /edited by Kim P. Huynh, David T. Jacho-chávez, Gautam TripathiBingley :Emerald Publishing Limited,[2019]©20191 online resource (338 pages)Advances in econometrics,0731-9053 ;volume 39Includes index.1-78756-728-1 1-78756-726-5 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. Advances in econometrics ;v. 39.0731-9053Social surveysMethodologyEconometricsSampling (Statistics)Business & EconomicsEconomicsGeneralbisacshEconomicsbicsscConference papers and proceedings.fastSocial surveysMethodology.Econometrics.Sampling (Statistics)Business & EconomicsEconomicsGeneral.Economics.519.52Huynh Kim P.Jacho-Chavez David T.Tripathi GautamUtOrBLWUtOrBLWBOOK9910793443003321The econometrics of complex survey data3860144UNINA