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 Conditional cash transfers in African countries
Following this practice, we assume that the transfers given to children are pooled within families and distributed to each member so that every member enjoys the same level of welfare. This assumption allows us to calculate the impact of transfers on aggregate national poverty among in...
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Following this practice, we assume that the transfers given to children are pooled within families and distributed to each member so that every member enjoys the same level of welfare. This assumption allows us to calculate the impact of transfers on aggregate national poverty among individuals, subject to the limitations implied by the assumption. Second, this study develops a probit model to explore the determinants of school attendance in Africa. Using this model, we simulate the impact of cash
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http://www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=17
www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=17
Following this practice, we assume that the transfers given to children are pooled within families and distributed to each member so that every member enjoys the same level <span class="highlight">of</span> welfare. This assumption allows us to calculate the impact <span class="highlight">of</span> transfers on aggregate national poverty among individuals, subject to the limitations implied by the assumption. Second, this study develops a probit <span class="highlight">model</span> to explore the determinants <span class="highlight">of</span> school attendance in Africa. <span class="highlight">Using</span> this <span class="highlight">model</span>, we simulate the impact <span class="highlight">of</span> cash
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http://www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=48
www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=48
16 years and separately for boys and girls. We also made calculations <span class="highlight">using</span> the interactions <span class="highlight">of</span> the log <span class="highlight">of</span> per capita expenditure with dummy variables, viz, whether or not the household is poor and whether or not the household was in the rural area.14 Although the <span class="highlight">model</span> was estimated separately for different age-groups, we will mainly report the results <span class="highlight">of</span> the <span class="highlight">model</span> for children aged 5-16 years. The estimates <span class="highlight">of</span> the models for individual age-groups are presented in appendix B. Table 9-2 shows the
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http://www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=91
www.undp-povertycentre.org/pub/IPCWorkingPaper9.pdf#page=91
implicit prices <span class="highlight">of</span> time determined by their contribution to the home production technology. It is the implicit price <span class="highlight">of</span> domestic chores or unpaid child labour. 11. The probit <span class="highlight">model</span> was estimated <span class="highlight">using</span> Stata 8 software with the option cluster equal to the household identifier so that we could take into account the effect <span class="highlight">of</span> having children from the same household in the <span class="highlight">sample</span> when estimating the standard errors. The option weight was also used with the <span class="highlight">sample</span> weights provided in the data set. 12. This is due
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