@inproceedings{Spatz2006Creating,
abstract = {In many developing countries, there does not exist a time series of nationally representative
household budget or income surveys, while there often are surveys of regions as well as nationally
representative Demographic and Health Surveys (DHS) which lack information on incomes. This
makes an analysis of trends and determinants of poverty and inequality impossible. This is also the
situation in Bolivia where there exist urban household surveys and nationally representative DHS
since 1989, while nationally representative household income surveys only exist since 1997. In this
paper, we adjust a technique developed for poverty mapping exercises to link urban household
income surveys with DHS data to generate a time series of household income data from 1989 to
2002. Our technique performs well on validation tests, is superior to imputing incomes from assets
in the DHS, and is able to generate new information on poverty and inequality in Bolivia.},
author = {Julius Spatz and Stephan Klasen and Melanie Grosse},
copyright = {http://www.econstor.eu/dspace/Nutzungsbedingungen},
keywords = {D31; I31; O54; C81; I32; 330; Microsimulation; survey matching; poverty; inequality; pro-poor growth; poverty profile; growth incidence curve; Bolivia},
language = {eng},
number = {26},
series = {Proceedings of the German Development Economics Conference, Berlin 2006 / Verein f\"{u}r Socialpolitik, Research Committee Development Economics},
title = {Creating National Poverty Profiles and Growth Incidence Curves with Incomplete Income or Consumption Expenditure Data: An Application to Bolivia},
url = {http://hdl.handle.net/10419/19851},
year = {2006}
}
