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 Cash Transfer Programmes in Brazil: Impacts on Inequality and Poverty
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10 International Poverty Centre W orking Paper nº 21 2.3 DISAGG REGATING TH E “O TH ER INCO M ES” 2.3.1 Separating the Incom e Com ponents D eclared in “O ther Incom es” To separate the com ponent “other incom es”, the idiosyncrasies of each...
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10 International Poverty Centre W orking Paper nº 21 2.3 DISAGG REGATING TH E “O TH ER INCO M ES” 2.3.1 Separating the Incom e Com ponents D eclared in “O ther Incom es” To separate the com ponent “other incom es”, the idiosyncrasies of each program m e m ust be taken into consideration. In m onetary term s, the BPC is clearly differentiated from the other cash transfer program m es. O f the eight cash transfer program m es investigated by the 2004 PNAD supplem ent, it is the only one that is
12 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=12 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=12
10 International Poverty Centre W orking Paper n&ordm; 21 2.3 DISAGG REGATING TH E &ldquo;O TH ER INCO M ES&rdquo; 2.3.1 Separating the Incom e <span class="highlight">Com</span> ponents D eclared in &ldquo;O ther Incom es&rdquo; To separate the <span class="highlight">com</span> ponent &ldquo;other incom es&rdquo;, the idiosyncrasies of each program m e m ust be taken into consideration. In m onetary term s, the BPC is clearly differentiated from the other cash transfer program m es. O f the eight cash transfer program m es investigated by the 2004 PNAD supplem ent, it is the only one that is
14 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=14 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=14
12 International Poverty Centre W orking Paper n&ordm; 21 <span class="highlight">com</span> prise a series of transferences w ith rules that are distinct for each program m e and unknow n unidentifiable from the PNAD dataset, and there is no inform ation about the presence of disabled persons in the household, w hich is a problem for BPC. This does not m ean that there is no clear prevalence of typical values from the different cash transfer program m es: R$ 7&mdash;Cooking G as Stipend (per m onth); R$ 15&mdash;Bolsa Fam&iacute;lia and Bolsa Escola
24 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=24 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=24
0.149 0.244 0.056 - 0.025 -0.137 0.203 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 3.2 RO BUSTNESS ANALYSIS O F TH E DISAGGREGATIO N O F TH E &ldquo;O TH ER INCO M ES&rdquo; CO M PO NENT In order to analyze the robustness of the disaggregation of the &ldquo;other incom es&rdquo; <span class="highlight">com</span> ponent, w e w ill use the distribution of this <span class="highlight">com</span> ponent in 1995 (at 2004 values) as our reference param eter.16 Let us assum e that the average real incom es from &ldquo;interest&rdquo; (the original 2004 other incom es) appropriated by each
 Assessing the pro-poorness of government fiscal policy in Thailand
Hyun H. Son 11 4 D ATA ANALYSIS 4.1 D ATA SOURCE The data source com es from the Socio-Econom ic Surveys (SES) conducted in 1998. The SES data are unit record household surveys conducted every tw o years by the National Statistics Office in Thailand. The survey is nationw ide and covers...
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Hyun H. Son 11 4 D ATA ANALYSIS 4.1 D ATA SOURCE The data source com es from the Socio-Econom ic Surveys (SES) conducted in 1998. The SES data are unit record household surveys conducted every tw o years by the National Statistics Office in Thailand. The survey is nationw ide and covers all private, non-institutional households residing perm anently in m unicipal, sanitary districts, and villages. How ever, it excludes part of the population living in transient hotels or room ing houses
13 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper15.pdf#page=13 www.undp-povertycentre.org/pub/IPCWorkingPaper15.pdf#page=13
Hyun H. Son 11 4 D ATA ANALYSIS 4.1 D ATA SOURCE The data source <span class="highlight">com</span> es from the Socio-Econom ic Surveys (SES) conducted in 1998. The SES data are unit record household surveys conducted every tw o years by the National Statistics Office in Thailand. The survey is nationw ide and covers all private, non-institutional households residing perm anently in m unicipal, sanitary districts, and villages. How ever, it excludes part of the population living in transient hotels or room ing houses