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008			150903s2011 xxu| o |||| 0|eng d
020			_a9781461403852 _99781461403852
024	7		_a10.1007/9781461403852 _2doi
035			_avtls000340278
039		9	_a201509030346 _bVLOAD _c201404300413 _dVLOAD _y201402061021 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aHaughton, Dominique. _eautor _9316003
245	1	0	_aLiving Standards Analytics : _bDevelopment through the Lens of Household Survey Data / _cby Dominique Haughton, Jonathan Haughton.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2011.
300			_axxii, 314 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		_aStatistics for Social and Behavioral Sciences
500			_aSpringer eBooks
505	0		_aIntroduction -- Graphical exploratory methods -- Sample size issues -- Beyond linear regression -- Adjustment for spatial correlation -- The issue of causality -- Non-homogeneity/mixtures -- Bayesian analysis -- Grouping methods -- Panel data issues -- Measures of poverty and inequality -- Bootstrap -- Fuzzy methods for poverty measures -- Combining data sets.
520			_aThe purpose of this book is to introduce, discuss, illustrate, and evaluate the colorful palette of analytical techniques that can be applied to the analysis of household survey data, with an emphasis on the innovations of the past decade or so. Most of the chapters begin by introducing a methodological or policy problem, to motivate the subsequent discussion of relevant methods.  They then summarize the relevant techniques, and draw on examples – many of them from the authors’ own work – and aim to convey a sense of the potential, but also the strengths and weaknesses, of those techniques.  This book is meant for graduate students in statistics, economics, policy analysis, and social sciences, especially, but certainly not exclusively, those interested in the challenges of economic development in the Third World.  Additionally, the book will be useful to academics and practitioners who work closely with survey data. This is a book that can serve as a reference work, to be taken down from the shelf and perused from time to time. Dominique Haughton is Professor of Mathematical Sciences at Bentley University and Affiliated Researcher at Université Toulouse I. Jonathan Haughton is Professor of Economics at Suffolk University and Senior Economist at the Beacon Hill Institute for Public Policy.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aHaughton, Jonathan. _eautor _9316004
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461403845
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-0385-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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