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Monica Pratesi - Analysis of Poverty Data by Small Area Estimation - 9781118815014 - V9781118815014
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Analysis of Poverty Data by Small Area Estimation

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Description for Analysis of Poverty Data by Small Area Estimation Hardcover. 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. Editor(s): Pratesi, Monica. Series: Wiley Series in Survey Methodology. Num Pages: 420 pages. BIC Classification: GPS; JFFA; PBT. Category: (P) Professional & Vocational. Dimension: 244 x 170. .

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 ... Read more

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.

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Product Details

Format
Hardback
Publication date
2016
Publisher
John Wiley & Sons Inc United States
Number of pages
420
Condition
New
Series
Wiley Series in Survey Methodology
Number of Pages
480
Place of Publication
New York, United States
ISBN
9781118815014
SKU
V9781118815014
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Monica Pratesi
Monica Pratesi, Department of Economics and Management, University of Pisa, Italy. Monica's research field includes small area estimation, inference in elusive populations, nonresponse, design effect in fitting statistical models. Monica is currently involved as researcher and reference person of the DEM-UNIPI in the project EFRAME(European FRAmework for MEasuring progress) funded under the 7th FP (eframeproject.eu/).

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