Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
>
System Notification
Catalogue Tag Display
Catalogue Tag Display
MARC 21
Living Standards Analytics: Development through the Lens of Household Survey Data
Tag
Description
020
$a9781461403852
082
$a519.5
099
$aOnline Resource: Springer
100
$aHaughton, Dominique.
245
$aLiving Standards Analytics$hEB$bDevelopment through the Lens of Household Survey Data$cby Dominique Haughton, Jonathan Haughton.
260
$aNew York, NY$bSpringer
260
$c2011.
300
$aX, 342 pages : 79 illus., 47 illus. in color.$bonline resource.
336
$atext
338
$aonline resource
440
$aStatistics for Social and Behavioral Sciences
505
$a
Introduction -- 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
$a
The 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 â many of them from the authorsâ own work â 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.
538
$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
700
$aHaughton, Jonathan.$eauthor.
710
$aSpringerLink (Online service)
830
$aStatistics for Social and Behavioral Sciences
856
$u
http://dx.doi.org/10.1007/978-1-4614-0385-2
Quick Search
Search for