000			02054nam a22003738i 4500
001			CR9781108602204
003			UkCbUP
005			20240907144859.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			180108s2019||||enk o ||1 0|eng|d
020			_a9781108602204 (ebook)
020			_z9781108472791 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aHB135 _b.W464 2019
082	0	0	_a330.01/51923 _223
100	1		_aWhang, Yoon-Jae, _eauthor.
245	1	0	_aEconometric analysis of stochastic dominance : _bconcepts, methods, tools, and applications / _cYoon-Jae Whang.
264		1	_aCambridge : _bCambridge University Press, _c2019.
300			_a1 online resource (xvi, 262 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aThemes in modern econometrics
500			_aTitle from publisher's bibliographic system (viewed on 17 Jan 2019).
520			_aThis book offers an up-to-date, comprehensive coverage of stochastic dominance and its related concepts in a unified framework. A method for ordering probability distributions, stochastic dominance has grown in importance recently as a way to measure comparisons in welfare economics, inequality studies, health economics, insurance wages, and trade patterns. Whang pays particular attention to inferential methods and applications, citing and summarizing various empirical studies in order to relate the econometric methods with real applications and using computer codes to enable the practical implementation of these methods. Intuitive explanations throughout the book ensure that readers understand the basic technical tools of stochastic dominance.
650		0	_aEconomics, Mathematical.
650		0	_aStochastic processes.
650		0	_aMathematical statistics.
776	0	8	_iPrint version: _z9781108472791
830		0	_aThemes in modern econometrics.
856	4	0	_uhttps://doi.org/10.1017/9781108602204
942			_2ddc _cEB
999			_c9587 _d9587