Environment and Natural Resources Service No. 7
Sustainable Development Department

The Application of a Spatial Regression Model to the Analysis and Mapping of Poverty

by

Alessandra Petrucci
Professor of Statistics, University of Florence

Nicola Salvati
Project Assistant University of Florence

Chiara Seghieri
Project Assistant, University of Florence

 
Table of Contents
   

FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS
Rome, 2003


The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.


ISBN 92-5-104973-4
ISSN 1684-8241

All rights reserved. Reproduction and dissemination of material in this information product for educational or other non-commercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. Reproduction of material in this information product for resale or other commercial purposes is prohibited without written permission of the copyright holders. Applications for such permission, should be addressed to the Chief, Publishing and Multimedia Service, Information Division, FAO, Viale delle Terme di Caracalla, 00100 Rome, Italy or by e-mail to [email protected]

© FAO 2003


Table of Contents

Preface

Abstract

Acknowledgements

List of acronyms

Chapter 1. Introduction

Chapter 2. Methods for mapping poverty at subnational levels

Poverty mapping based on household survey and census data
Poverty mapping based on household survey and area indicators

Chapter 3. The data

Numerical comparison on the Ecuador data

Chapter 4. Spatial analysis

Spatial autocorrelation
Generalized spatial linear models

Chapter 5. Empirical estimation and predictions

Chapter 6. Asimple simulation

Chapter 7. Conclusions

References

Annex A. Tables and maps

Table A.1. Comparison between probit and spatial probit in the headcount index and in the percentage of poor people at county level, total sample
Table A.2. Comparison between probit and spatial probit in the headcount index and in the percentage of poor people at county level, rural sample
Table A.3. Comparison between probit and spatial probit in the headcount index and in the percentage of poor people at county level, urban sample

Annex B. Changing the definition of poverty line

Annex C. R programmes

Annex D. Maps and tables of administrative borders and environmental variables

Back Cover