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001			978-1-4614-0385-2
003			DE-He213
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008			110914s2011 xxu| s |||| 0|eng d
020			_a9781461403852 _9978-1-4614-0385-2
024	7		_a10.1007/978-1-4614-0385-2 _2doi
050		4	_aQA276-280
072		7	_aJHBC _2bicssc
072		7	_aSOC027000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aHaughton, Dominique. _eauthor.
245	1	0	_aLiving Standards Analytics _h[electronic resource] : _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 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics for Social and Behavioral Sciences
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.
650		0	_aStatistics.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
700	1		_aHaughton, Jonathan. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461403845
830		0	_aStatistics for Social and Behavioral Sciences
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-0385-2
912			_aZDB-2-SMA
999			_c106246 _d106246