Guatemala Poverty Assessment Program. Although panel data or pseudo-panel data seem to be better suited for the estimation of VP as captured by fluctuations in well-being over a period of time, researchers have shown that single cross-section data could be used to estimate VP and its source as well. Third, there may be severe reverse causality problem as household's well-being could impact the possible effect of shocks on plan cul creteil plan cul montreuil consumption.
Substituting (3) in (2) gives the household vulnerability at time t as: pha, h,t1 (b.h,t1)absolute value of F (b.h,t1.h,.h,.h, (4). First, as the income earner in a household falls sick, it reduces its earning capacity and, consequently, its permanent sex gay work net helsinki seksiseuraa lohja income drops. It only focuses on reaction to shocks.
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- Christiaensen and Subbarao (2004) choose not to use the utility based approach to measure vulnerability. There are many methods that measure the change in well-being due to uninsured risk. Pids Discussion Paper Series. Moreover, as individuals are ill-informed about their preferences, it is difficult to assume that human knowledge can perfectly feel future hunger or pain.
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- VP measurement, theoretical Approaches to VP Measurement, in general, there are three approaches to measure vulnerability in the literature: vulnerability as expected poverty (VEP vulnerability as expected low utility (VEU) and vulnerability as uninsured exposure to risk (VER). Measurement of VP is discussed in section 3 where approach based and data related measurement issues are explained. According to VEP proposed by Chaudhuri. The VEP and VEU approaches are primarily used for assessing household vulnerability although it is claimed that aggregate vulnerability could also be estimated by aggregating individual vulnerability.