Author | Conference | Journal | Organization | Year | DOI
Look for results that meet for the following criteria:
Academic
Publications
MICRO-LEVEL ESTIMATION OF POVERTY AND INEQUALITY

MICRO-LEVEL ESTIMATION OF POVERTY AND INEQUALITY,Chris Elbers,Jean O. Lanjouw,Peter Lanjouw

Edit
MICRO-LEVEL ESTIMATION OF POVERTY AND INEQUALITY   (Citations: 135)
BibTex | RIS | RefWorks Download
Recent theoretical advances have brought income and wealth distributions back into a prominent position in growth and development theories, and as determinants of specific socio-economic outcomes, such as health or levels of violence. Empirical investi- gation of the importance of these relationships, however, has been held back by the lack of sufficiently detailed high quality data on distributions. Household surveys that include reasonable measures of income or consumption can be used to calculate distributional measures, but at low levels of aggregation these samples are rarely representative or of sufficient size to yield statistically reliable estimates. At the same time, census (or other large sample) data of sufficient size to allow disaggregation either have no information about income or consumption, or measure these variables poorly. This note outlines a statistical procedure to combine these types of data to take advantage of the detail in household sample surveys and the comprehensive coverage of a census. It extends the literature on small area statistics (Ghosh and Rao (1994), Rao (1999)) by developing esti- mators of population parameters that are nonlinear functions of the underlying variable of interest (here unit level consumption), and by deriving them from the full unit level distribution of that variable. In examples using Ecuadorian data, our estimates have levels of precision compa- rable to those of commonly used survey based welfare estimates—but for populations as small as 15,000 households, a 'town.' This is an enormous improvement over survey based estimates, which are typically only consistent for areas encompassing hundreds of thousands, even millions, of households. Experience using the method in South Africa, Brazil, Panama, Madagascar, and Nicaragua suggest that Ecuador is not an unusual case (Alderman et al. (2002), and Elbers et al. (2002)).
Published in 2002.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
    • ...6, because they are bound not to be uniform and would require applying different estimators (methods) for different countries...

    Nicholas T. Longford, et al. Poverty and inequality in European regions

    • ...2002, 2003; Demombynes et al...

    Fiifi Amoako Johnson, et al. Estimating unmet need for contraception by district within Ghana: An a...

    • ...(2002, 2003)...

    Nguyen Viet Cuong. A Method to Update Poverty Maps

    • ...Sample problem: When both of the auxiliary restrictions (11) and (12) hold we...

    Bryan S. Graham, et al. Efficient Estimation of Data Combination Models by the Method of Auxil...

    • Sort by:

    Citations (135)

    Share this on