Micro-Level Estimation of Welfare
By C. Elbers, J. Lanjouw, Peter Lanjouw. 2002
183 citations recorded by the source corpus.
The authors construct and derive the properties of estimators of welfare that take advantage of the detailed information about living standards available in small household surveys and the comprehensive coverage of a census or large sample. By combining the strengths of each, the estimators can be used at a remarkably disaggregated level. They have a clear interpretation, are mutually comparable, and can be assessed for reliability using standard statistical theory. Using data from Ecuador, the authors obtain estimates of welfare measures, some of which are quite reliable for populations as small as 15,000 households--a"town."They provide simple illustrations of their use. Such estimates open up the possibility of testing, at a more convincing intra-country level, the many recent models relating welfare distributions to growth and a variety of socioeconomic and political outcomes.
Subfields: Safety Research, Sociology and Political Science, Soil Science
View Paper: https://www.semanticscholar.org/paper/c7349012a4c0a916a01e91fab0c841d562654b8e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Francisco H. G. Ferreira
- Angus Deaton
- Alessandro Tarozzi
- Christopher B. Barrett
- C. Nguyen
- Adel Ben Youssef
- Mohamed Arouri
- Peter Lanjouw
In Sociology and Political Science
- Alessandro Tarozzi
- Angus Deaton
- Francisco H. G. Ferreira
- Christopher B. Barrett
- Peter Lanjouw
- Mohamed Arouri
- C. Nguyen
- Adel Ben Youssef
In Soil Science
- Alessandro Tarozzi
- Francisco H. G. Ferreira
- Angus Deaton
- C. Nguyen
- Adel Ben Youssef
- Mohamed Arouri
- Peter Lanjouw
- Berk Özler
Citations in the corpus
- Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas (2009, methodology): “In the United States, where the decadal census obtains good income information for five percent of the population, there is a substantial literature, including two National Research Council reports, on obtaining mean income and poverty estimates for counties and school districts in the intercensal y”
- Local Inequality and Project Choice: Theory and Evidence from Ecuador (2006, methodology): “Povertyandinequalityrateswereestimatedatthelevelofeachparroquiaonthebasisofamethodologythatisdescribed in detail in Elbers et al. (2002, 2003) .”
- Poverty alleviation through geographic targeting: How much does disaggregation help? (2004, unknown): “2 See Elbers et al. (2002, 2003) and Demombynes et al. (2002).”
- Tracking Poverty Over Time in the Absence of Comparable Consumption Data (2007, unknown): “…determined by the precision of the coefficient estimates, the sensitivity of welfare indicator to errors in the estimated consumption measures, and the extent to which the levels of the x variables in the target population deviate from the population of origin, (Elbers, Lanjouw, and Lanjouw, 2002).”
- Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam (2015, methodology): “Elbers et al. (2002, 2003) develop this method to estimate the poverty and welfare indexes at the small areas.”
- Rural poverty dynamics: development policy implications (2003, background): “…endowments (Gunning et al. 2000, Maluccio et al. 2000), or (iii) the impact of shocks and their persistence on welfare (Glewwe and Hall 1998, Hoddinott and Kinsey 2001, McPeak and Barrett 2001, Elbers et al. 2002, Gertler and Gruber 2002, Yamano and Jayne 2002, Barrett et al. 2003, Dercon 2003).”