Abstract—Recent years have seen widespread use of small-area maps based on census data enriched by relationships estimated from household surveys that predict variables, such as income, not covered by the census. The purpose is to obtain putatively precise estimates of poverty and inequality for small areas for which no or few observations are available in the survey. We argue that to usefully match survey and census data in this way requires a degree of spatial homogeneity for which the method provides no basis and which is unlikely to be satisfied in practice. We document the potential empirical relevance of such concerns using data from the 2000 census of Mexico. I
Poverty maps provide information on the spatial distribution of welfare and can predict poverty leve...
Spatially disaggregated maps of the incidence of poverty can be constructed by combining household s...
Poverty and living conditions are always at the forefront of analyses and discussions carried out by...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
Methodologies now commonly used for the construction of poverty maps assume a substantial degree of ...
Methodologies now commonly used for the construction of poverty mapping assume a substantial degree ...
This paper examines the performance of small area welfare estimation. The method combines census and...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Efficient regional development policies require detailed assessment of the socio-economic developmen...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Poverty maps are an important source of information on the regional distribution of poverty and are...
This paper evaluates the performance of different small area estimation methods using model and desi...
Poverty and inequality remain at the top of the global economic agenda, and the methodology of measu...
Poverty maps provide information on the spatial distribution of welfare and can predict poverty leve...
Spatially disaggregated maps of the incidence of poverty can be constructed by combining household s...
Poverty and living conditions are always at the forefront of analyses and discussions carried out by...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
Household expenditure survey data cannot yield precise estimates of poverty or inequality for small ...
Methodologies now commonly used for the construction of poverty maps assume a substantial degree of ...
Methodologies now commonly used for the construction of poverty mapping assume a substantial degree ...
This paper examines the performance of small area welfare estimation. The method combines census and...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Efficient regional development policies require detailed assessment of the socio-economic developmen...
Typical living standards surveys can provide a wealth of information about welfare levels, poverty, ...
Poverty maps are an important source of information on the regional distribution of poverty and are...
This paper evaluates the performance of different small area estimation methods using model and desi...
Poverty and inequality remain at the top of the global economic agenda, and the methodology of measu...
Poverty maps provide information on the spatial distribution of welfare and can predict poverty leve...
Spatially disaggregated maps of the incidence of poverty can be constructed by combining household s...
Poverty and living conditions are always at the forefront of analyses and discussions carried out by...