000			02577nam a22003735i 4500
001			285342
003			MX-SnUAN
005			20170705134211.0
007			cr nn 008mamaa
008			150903s2010 xxu| o |||| 0|eng d
020			_a9781441972255 _99781441972255
024	7		_a10.1007/9781441972255 _2doi
035			_avtls000338888
039		9	_a201509030835 _bVLOAD _c201404300352 _dVLOAD _y201402060922 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aHF5601-5688
100	1		_aSchroeder, Douglas A. _eautor _9313505
245	1	0	_aAccounting and Causal Effects : _bEconometric Challenges / _cby Douglas A. Schroeder.
264		1	_aNew York, NY : _bSpringer New York, _c2010.
300			_axxvI, 462 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Accounting Scholarship, _x1572-0284 ; _v5
500			_aSpringer eBooks
505	0		_aAccounting choice -- Linear models -- Loss functions and estimation -- Discrete choice models -- Nonparametric regression -- Repeated-sampling inference -- Overview of endogeneity -- Treatment effects: ignorability -- Treatment effects: IV -- Marginal treatment effects -- Bayesian treatment effects -- Informed priors.
520			_aWhile there is a substantial literature in labor economics and microeconometrics directed toward endogenous causal effects, causal effects have received relatively limited attention in accounting. This volume builds on econometric foundations, including linear, discrete choice, and nonparametric regression models, to address challenging accounting issues characterized by microeconomic fundamentals and equilibrium reporting choices. Both classical and Bayesian strategies for identifying and estimating accounting treatment effects are discussed extensively. This distinctive resource for researchers and students explores interactions among theory, data, and model specification considerations, and complements contemporary econometrics and statistics, as well as accounting.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441972248
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-7225-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c285342 _d285342