Micro-Level Estimation of Poverty and Inequality

By C. Elbers, J. Lanjouw, Peter Lanjouw. 2003

1,017 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/87ec2db7d00ce67616ec8dc048c45fe30bc09664

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Citations in the corpus

Aid Under Fire: Development Projects and Civil Conflict (2010, methodology): “Poverty levels were estimated following the poverty mapping method of Elbers et al (2003).13 The first step of this method is to estimate the relationship between measures of household expenditure, which are only available for a subset of municipalities, and variables from census data and…”
The Long Run Impact of Bombing Vietnam (2006, neutral): “(2003), who use the Elbers et al. (2003) local regression method.”
Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas (2009, methodology): “The methodology, developed by Elbers, Lanjouw, and Lanjouw, 2003, henceforth ELL, has been applied (with some local variation) to a substantial number of countries, including Albania, Azerbaijan, Brazil, Bulgaria, Cambodia, China, Ecuador, Guatemala, Indonesia, Kenya, Madagascar, Mexico, Morocco,…”
State-conditional Fertilizer Yield Response on Western Kenyan Farms (2009, positive): “…for those same samples to establish the mapping from the MIR measures to soil carbon and nitrogen content.6 Then, as in small area estimation (Elbers et al. 2003), we use the resulting parameter estimates to predict the carbon and nitrogen content of the soils for which we had only the ten…”
Development Research at High Geographic Resolution: An Analysis of Night-Lights, Firms, and Poverty in India Using the SHRUG Open Data Platform (2021, methodology): “We used this asset data to generate small area estimates of consumption expenditure, following the method of Elbers, Lanjouw, and Lanjouw (2003).”
Buying votes vs. supplying public services : political incentives to under-invest in pro-poor policies (2013, background): “These estimates combine information from nationally representative household surveys, with information from the census, to generate what the poverty literature considers to be some of the most reliable estimates at lower levels of disaggregation (Elbers et al, 2003).”
Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being (2017, methodology): “We therefore draw on the most commonmethod to impute welfare estimates [9] into the 2011 Census of Population and Housing, which is identical to the method used to generate official poverty estimates at the DS Division level [10][2].”
Small area estimation of poverty indicators (2010, neutral): “Elbers et al. (2003) assumed a unit level model that combines both census and survey data.”
Wealth Heterogeneity and the Income Elasticity of Migration (2017, methodology): “The Elbers et al. (2003) Poverty Mapping exercise for Indonesian villages in 2000 (Suryahadi et al., 2005) provides a Gini coefficient for predicted household expenditures per capita that I use to construct an implied upon request.”
Income inequality and violent crime : evidence from Mexico's drug war (2014, neutral): “To produce income measures at the municipal level, we followed Elbers, Lanjouw, and Lanjouw (2003) in pairing the ENIGH of 1992 with the 1990 population census, the ENIGH of 2000 with the 2000 population census, the ENIGH of 2005 with the 2005 population count, and the ENIGH of 2010 with the 2010…”
Semiparametric Efficiency in GMM Models of Nonclassical Measurement Errors, Missing Data and Treatment Effects (2008, neutral): “Elbers, Lanjouw, and Lanjouw (2003) develop a parametric simulation procedure for the micro-level estimation of poverty and inequality measures, and the calculation of correct standard errors.”
From start to finish: a framework for the production of small area official statistics (2018, methodology): “Elbers et al. (2003) and Molina and Rao (2010) considered the use of a logarithmic or a logarithmic shift transformation, which are popular for income data.”