Login

Pratesi, Monica

Analysis of Poverty Data by Small Area Estimation

Pratesi, Monica - Analysis of Poverty Data by Small Area Estimation, ebook

91,15€

Ebook, ePUB with Adobe DRM
ISBN: 9781118815007
DRM Restrictions

Printing142 pages with an additional page accrued every 6 hours, capped at 142 pages
Copy to clipboard5 excerpts

A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping

There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions.

Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods.

Key features:

  • Presents a comprehensive review of SAE methods for poverty mapping
  • Demonstrates the applications of SAE methods using real-life case studies
  • Offers guidance on the use of routines and choice of websites from which to download them

Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.

Keywords: Small Area Estimation; Poverty studies; Poverty mapping; Income data integration and survey data; Variance estimation in panel survey; Spatio-temporal SAE; Robustness in SAE; SAE of distribution function; R-codes; SAS codes, Data Analysis, Population & Demography, Data Analysis, Population & Demography

Editor
Publisher
John Wiley and Sons, Inc.
Publication year
2015
Language
en
Edition
1
Series
Wiley Series in Survey Methodology
Page amount
472 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781118815007
Printed ISBN
9781118815014

Similar titles