Using Poverty Maps to Improve the Design of Household Surveys: The Evidence from Tunisia

Abstract

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

The ‘Double Fuzzy Set’ Approach to Multidimensional Poverty Measurement: With a Focus on the Health Dimension

“…This is due to the research of Prof. Besma Belhadj and coauthors, based on the 2015 HBS in Tunisia or previous surveys. (ii) There is increasing interest from the World Bank in exploring poverty measures in Tunisia at the regional level, which has led to a new survey conducted in 2021with a larger sample size (Betti et al, 2021). Such interest is also present in Algeria, with the new Household Budget Survey conducted in early 2022.…”

“…Second, an established part of the literature on the fuzzy approach to poverty measurement has been done on this dataset, thanks to works by Besma Belhadj and co-authors. Third, the increasing interest from the World Bank in developing poverty measures in Tunisia at a regional level has led to a survey conducted in 2021 on a larger sample size base (Betti et al, 2021).…”

Using poverty maps to improve the design of household surveys: the evidence from Tunisia

“…These three factors contributed to better implement the design and the resulting errors became smaller than those expected when planning the design. Taking into account such implicit stratification, Betti and Pavelesku (2019) have estimated the real design effect of the EBCNV 2015 and the relative standard errors for estimates of mean per capita consumption expenditures at Governorate level. These results are those reported in the left side of Table 2.…”