Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty

By J. Hentschel, J. Lanjouw, Peter Lanjouw, Javier Poggi. 2012

329 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/096b773f304ea3eae2719ce2f3cf363573503ac4

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Citations in the corpus

Economic Growth, Poverty, and Household Welfare in Vietnam (2004, background): “The regression controls for changes in household size and composition—in particular, the number of members in the birth to 6 and 7 to 16 age groups, the number of women and men older than 55 and 60, respectively (the formal sector legal retirement age)—and for a change in the highest grade completed”
Where Are the Poor?: Experiences with the Development and Use of Poverty Maps (2002, methodology): “…cleaning and matching the data sets, small-area estimation methodology was used to develop a prediction model for expenditure using OHS, IES, and 1996 census data (Elbers et al. 2000, Hentschel et al. 2000).2 Initially selected were variables in the OHS and IES that were also found in the census.”
Poverty alleviation through geographic targeting: How much does disaggregation help? (2004, unknown): “3 For an example of the latter, see Hentschel et al. (2000). 4 Hentschel et al, 2000, and Elbers, Lanjouw and Lanjouw, 2002, 2003 describe the basic methodology.”
Isolation and agricultural productivity (2008, background): “…Introduction: Geography matters enormously for economic activities and welfare as shown by evidence from cross-country studies (Bloom and Sachs, 1998; Landes, 1998; Gallup et al., 1999) as well as within-country studies (Hentschel et al., 2000; Jalan and Ravallion, 2002; Ravallion and Datt, 2002).”
Income Diversification And Poverty in the Northern Uplands of Vietnam (2006, methodology): “Small-area estimation methods are described in Elbers, Lanjouw, and Lanjouw (2003) and Hentschel et al. (2000). The Vietnam analysis can be found in Minot, Baulch, and Epprecht (2003).”
The spatial distribution of poverty in Vietnam and the potential for targeting (2002, methodology): “The standard errors are based on the methods suggested by Hentschel et al. (2000), with extensions to incorporate the sampling error associated with the fact that we are using a 3% sample of the Population Census rather than the full Census.”
Mapping Marginality Hotspots: Geographical Targeting for Poverty Reduction (2012, unknown): “Poverty mapping based on socio-economic data The majority of poverty mapping approaches, in particular those undertaken at the national level, use household expenditure or income as proxies for poverty (Fujii 2003, Hentschel et al. 2000 and others).”