000			02393nam a2200469Ii 4500
001			9781787567252
003			UtOrBLW
005			20210303084849.0
006			m o d
007			cr un|||||||||
008			190415s2019 enk o 001 0 eng d
020			_a9781787567252 (e-book)
040			_aUtOrBLW _beng _erda _cUtOrBLW
050		4	_aHM538 _b.E26 2019
072		7	_aKC _2bicssc
072		7	_aBUS069000 _2bisacsh
080			_a316.4
082	0	4	_a300.723 _223
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	_bEmerald Publishing Limited,
300			_a1 online resource (xi, 325 pages).
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.
650		0	_aEconometrics.
650		0	_aSampling (Statistics)
650		7	_aBusiness & Economics _xEconomics _xGeneral. _2bisacsh
650		7	_aEconomics. _2bicssc
700	1		_aHuynh, Kim P., _eeditor.
700	1		_aJacho-Chavez, David T., _eeditor.
700	1		_aTripathi, Gautam, _eeditor.
776			_z9781787567269
830		0	_aAdvances in econometrics ; _vv. 39. _x0731-9053
856	4	0	_uhttps://www.emerald.com/insight/publication/doi/10.1108/S0731-9053201939
999			_c29838 _d29838