000 02537nam a2200493Ii 4500
001 9781787567252
003 UtOrBLW
005 20251029120216.0
006 m o d
007 cr un|||||||||
008 190415s2019 enk o 001 0 eng d
020 _a9781787567252 (e-book)
020 _a9781787567276 (ePUB)
040 _aUtOrBLW
_beng
_erda
_cUtOrBLW
050 4 _aHM538
_b.E26 2019
072 7 _aKC
_2bicssc
072 7 _aBUS069000
_2bisacsh
080 _a316.4
245 0 4 _aThe econometrics of complex survey data :
_btheory and applications /
_cedited by Kim P. Huynh, David T. Jacho-chávez, Gautam Tripathi.
264 1 _aBingley, U.K. :
_bEmerald Publishing Limited,
_c2019.
264 4 _c©2019
300 _a1 online resource (xi, 325 pages).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aAdvances in econometrics,
_x0731-9053 ;
_vvolume 39
500 _aIncludes index.
505 0 _aPrelims -- Sampling design -- Variance estimation -- Estimation and inference -- Applications in business, household, and crime surveys -- Index.
520 _aThis 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.
588 0 _aPrint version record
650 0 _aSocial surveys
_xMethodology.
_959804
650 0 _aEconometrics.
_957695
650 0 _aSampling (Statistics)
_959805
650 7 _aBusiness & Economics
_xEconomics
_xGeneral.
_2bisacsh
_957965
650 7 _aEconomics.
_2bicssc
_958354
700 1 _aHuynh, Kim P.,
_eeditor.
_959806
700 1 _aJacho-Chavez, David T.,
_eeditor.
_959807
700 1 _aTripathi, Gautam,
_eeditor.
_959808
776 _z9781787567269
830 0 _aAdvances in econometrics ;
_vv. 39.
_x0731-9053
_957700
856 4 0 _uhttps://www.emerald.com/insight/publication/doi/10.1108/S0731-9053201939
999 _c51572
_d51572