Estimation of the period of household interview effect on poverty measurement
Rami Ben Haj Kacem and
Mohamed Ayadi ()
Journal of Statistical and Econometric Methods, 2012, vol. 1, issue 3, 2
Poverty analysis is generally based on the use of household economic survey data collected over a period of several months. This paper aims to estimate the poverty measurement bias due to the effect of the period of householdsâ€™ interview. A new method is presented, based on the decomposition of the poverty severity index by estimating a composed error econometric model and using a semi-parametric estimation technique. Empirical validation for the Tunisian case shows that the bias is important and is not constant; it varies from month to month and year to year.
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Persistent link: https://EconPapers.repec.org/RePEc:spt:stecon:v:1:y:2012:i:3:f:1_3_2
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