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Narrative Writing: Think Like a Movie
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Matem�tica? Absolutamente! - Paulo Correia
Matemática? Absolutamente! Matemática > Início Página de Matemática do Professor Paulo Correia Tweet Lista das Citações Uma maneira de se divertir com a matemática é jogando blackjack no Spin Palace online casino....
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 Conditional Cash Transfers in Brazil, Chile and Mexico: Impacts upon Inequality
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including som e unconditional cash transfers. CCT incom e is the com ponent under scrutiny, and is the incom e received by the fam ilies registered in the program m es. This com ponent exists, how ever, only for 2003-2004. The category of ‘other incom e’ includes every form...
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including som e unconditional cash transfers. CCT incom e is the com ponent under scrutiny, and is the incom e received by the fam ilies registered in the program m es. This com ponent exists, how ever, only for 2003-2004. The category of ‘other incom e’ includes every form of incom e registered by the survey that w as not classified in any of the other three categories. This last com ponent is com prised m ainly of rents, investm ent earnings and private transfers (donations and dom estic or international
8 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=8 www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=8
6 International Poverty Centre W orking Paper n&ordm; 35 The transfer has three basic <span class="highlight">com</span> ponents, tw o of w hich are conditional and one non- conditional. H ouseholds benefiting from O portunidades receive an unconditional transfer in the am ount of 250 pesos ($ 32 PPP) per elderly adult in the household. Additionally, households receive a food support transfer of 189 pesos ($ 24 PPP) conditional on attending training sessions on nutrition and health. The m ore substantive transfer, though, is the
9 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=9 www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=9
including som e unconditional cash transfers. CCT incom e is the <span class="highlight">com</span> ponent under scrutiny, and is the incom e received by the fam ilies registered in the program m es. This <span class="highlight">com</span> ponent exists, how ever, only for 2003-2004. The category of &lsquo;other incom e&rsquo; includes every form of incom e registered by the survey that w as not classified in any of the other three categories. This last <span class="highlight">com</span> ponent is <span class="highlight">com</span> prised m ainly of rents, investm ent earnings and private transfers (donations and dom estic or international
10 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=10 www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=10
8 International Poverty Centre W orking Paper n&ordm; 35 of recipient (e.g., w age em ployee or self-account w orker). The inform ation available in Chilean datasets m akes it very difficult, how ever, to reverse this adjustm ent. Also, this adjustm ent cannot be reproduced for the other countries. The third challenge w as related to the construction of total incom e.6 This involved questions about w hat should be <span class="highlight">com</span> puted, and w hat should not. In Chile and Mexico, it is custom ary to im pute the
11 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=11 www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=11
Sergei Soares; Rafael G uerreiro O s&oacute;rio; F&aacute;bio Veras Soares; Marcelo Medeiros and Eduardo Zepeda 9 W here G is the G ini index, ck represents the coefficient of concentration of factor <span class="highlight">com</span> ponent k relative to total incom e and &phi;k is the w eight of factor k in total incom e. D ifferencing [1] w e have: ( )k k k k k G c c&#981; &#981;&#8710; = &#8710; + &#8710; &#65533; [2] The first term in the sum m ation represents the <span class="highlight">com</span> position effect and the second the effect of the change in the coefficient of concentration. If w e
18 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=18 www.undp-povertycentre.org/pub/IPCWorkingPaper35.pdf#page=18
rounded. Source: Pnad 1995, 2004; Casen 1996, 2003; Enigh 1996, 2004. Incom e from social security also had an im portant contribution to the dynam ics of inequality. It raised inequality in Brazil and Mexico but not in Chile. In Brazil and Mexico, a <span class="highlight">com</span> bination of greater concentration and a larger share of this m ore concentrated incom e <span class="highlight">com</span> ponent in the total overturned one sixth of the equalizing effect of the im proved distribution of labour incom es in Mexico and over-turned one quarter in Brazil
Destino: Portugal
Destino: Portugal: Introdução Destino: Portugal Introdução Tarefa Processo Avaliação Conclusão Créditos Página do Professor Monográfico sobre Webquest Introdução Os estudantes poderão escolher uma reg...
The Bayeux Tapestry: Home Page
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 Cash Transfer Programmes in Brazil: Impacts on Inequality and Poverty
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17. Note that to m ake the data from 2004 com patible w ith the data from 1995, it w as necessary to discard the inform ation that referred to the Rural North (w ith the exception of the state of Tocantins) since only after 2004 did this region begin to be included in the PNAD sam ple. 18....
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17. Note that to m ake the data from 2004 com patible w ith the data from 1995, it w as necessary to discard the inform ation that referred to the Rural North (w ith the exception of the state of Tocantins) since only after 2004 did this region begin to be included in the PNAD sam ple. 18. Recent studies on Brazil inequality (Soares(2006) and H offm an(2005)) have concentrated on the fall in inequality betw een 2001-2004 as the latter year indicate the start of the continuous fall in inequality
5 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=5 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=5
interest paid on federal governm ent bonds and, therefore, can be understood as a form of governm ental transfer to the richest segm ent of the population at a m agnitude w hich is m uch greater than that of the transfers targeted on the poor.1 M ost of the prelim inary investigations that have been released up to now have only called attention to the great change verified in the <span class="highlight">com</span> ponent &ldquo;other incom es&rdquo; in term s of the volum e of resources m easured, as w ell as in its distribution: from the m ost
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
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biases the results of the incidence analysis. Nonetheless, it is im portant to observe that w hen one refers to the existence of m ore than one BPC beneficiary per household, the Elderly Persons Act11 perm its the exclusion of the incom e of the BPC for the elderly in the <span class="highlight">com</span> putations of the value of the fam ily incom e per capita if an elderly person in the sam e household requests the benefit, w hich can result in the accum ulation of BPCs in the sam e household (M edeiros, Diniz &amp; Squinca, 2006). The
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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
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confused w ith that of another cash transfer program m e. 3 INCID ENCE AND EFFECTS O N INEQ U ALITY AND PO VERTY 3.1 INCIDENCE O F TH E CASH TRANSFER PRO GRAM M ES In order to analyze the incidence of the incom e of the cash transfer program m es, w e w ill analyze the concentration curves and the concentration indices of the incom e that <span class="highlight">com</span> es from the BPC, from the incom e that <span class="highlight">com</span> es from the other cash transfer program m es (Bolsa Fam&iacute;lia and others), and from the incom e that <span class="highlight">com</span> es from the
18 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=18 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=18
age. For this reason, w e analyze pensions that are below or equal to the m inim um w age in order to capture those non- contributory pensions w hich are also an im portant <span class="highlight">com</span> ponent of the cash transfers in Brazil. Figure 5 show s that sim ilar to the BPC and to the Bolsa Fam&iacute;lia, pensions linked to the m inim um w age seem to be w ell targeted in an ex-ante analysis: 64% of the reported incom e in this <span class="highlight">com</span> ponent goes to fam ilies that w ould be living below the poverty line w ithout this
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Fabio Veras Soares, Sergei Soares, M arcelo M edeiros and Rafael G uerreiro O s&oacute;rio 21 Returning to the concentration of the different <span class="highlight">com</span> ponents, it is interesting to observe that the m ost concentrated <span class="highlight">com</span> ponent is the one that refers to the incom e from rents w ith a concentration index of 77.80, follow ed by the pensions and retirem ent funds that are above the social security floor, w ith a concentration index of 75.78, and by the residual incom e <span class="highlight">com</span> ponent that w e associate w ith
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
26 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=26 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=26
24 International Poverty Centre W orking Paper n&ordm; 21 3.3 DECO M PO SITIO N O F TH E EFFECTS O N INEQ UALITY The recent reduction in inequality in Brazil is already a know n fact. Soares (2006) show s that the 2004 G ini Index (0.568) is the low est since the National H ousehold Survey started in the m id-1970&rsquo;s.18 Despite the trem endous w eight of the labor incom e w hich <span class="highlight">com</span> prises 73% of the total incom e, an im portant part of the reduction in inequality can be attributed to the &ldquo;other incom
32 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=32 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=32
transfer&ecirc;ncias n&atilde;o s&atilde;o a causa principal da redu&ccedil;&atilde;o da desigualdade&rdquo;. Econ&ocirc;mica. V.7 N.2. Dezem bro. IBG E (2006) &ldquo;Aspectos <span class="highlight">Com</span> plem entares de Educa&ccedil;&atilde;o e Acesso a Trasfer&ecirc;ncias de Renda de Program m eas Sociais. PNAD. M edeiros, M .; Diniz, D.; Squinca, F. (2006)&ldquo;Cash Benefits to Disabled Persons in Brazil: an analysis of the BPC &ndash; Continuous Cash Benefit Program m e&rdquo;. IPC W orking Paper 16. Brasilia. International Poverty Centre. M DS &ndash; M inist&eacute;rio do Desenvolvim ento Social (2006) &ldquo;M anual de O rienta&ccedil;&atilde;o do
34 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=34 www.undp-povertycentre.org/pub/IPCWorkingPaper21.pdf#page=34
17. Note that to m ake the data from 2004 <span class="highlight">com</span> patible w ith the data from 1995, it w as necessary to discard the inform ation that referred to the Rural North (w ith the exception of the state of Tocantins) since only after 2004 did this region begin to be included in the PNAD sam ple. 18. Recent studies on Brazil inequality (Soares(2006) and H offm an(2005)) have concentrated on the fall in inequality betw een 2001-2004 as the latter year indicate the start of the continuous fall in inequality
 Distinguishing Chronic Poverty from Transient Poverty in Brazil: Developing a Model for Ps...
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PN AD data and Rocha (2003). 4 MODEL SPECIFICATION AND DATA SOURCES Our Transient-Chronic analysis (henceforth T-C) is based on the com ponent approach (e.g., com paring constant versus fluctuating com ponents of a poverty index). It considers the distinction betw een a station...
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PN AD data and Rocha (2003). 4 MODEL SPECIFICATION AND DATA SOURCES Our Transient-Chronic analysis (henceforth T-C) is based on the com ponent approach (e.g., com paring constant versus fluctuating com ponents of a poverty index). It considers the distinction betw een a stationary or perm anent com ponent and a transient com ponent, both of w hich contribute to the propensity to poverty of each cohort. In contrast to the em pirical analysis proposed by Ravallion (1988) and Jalan and Ravallion (1998
8 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=8 www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=8
PN AD data and Rocha (2003). 4 MODEL SPECIFICATION AND DATA SOURCES Our Transient-Chronic analysis (henceforth T-C) is based on the <span class="highlight">com</span> ponent approach (e.g., <span class="highlight">com</span> paring constant versus fluctuating <span class="highlight">com</span> ponents of a poverty index). It considers the distinction betw een a stationary or perm anent <span class="highlight">com</span> ponent and a transient <span class="highlight">com</span> ponent, both of w hich contribute to the propensity to poverty of each cohort. In contrast to the em pirical analysis proposed by Ravallion (1988) and Jalan and Ravallion (1998
13 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=13 www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=13
Rafael Perez Ribas and Ana Fl&aacute;via M achado 11 and the dow nw ard m obility rate can be calculated as follow s: [ ] ( )( )1 1,2212 1 ;, 1)1(|0Pr &minus; &minus;&minus; &minus; &minus; &prime; &minus;&Phi; &minus;+&prime;&minus;&prime;&minus;&Phi; ==&minus;&gt;= dj djdj jdjdjd z xz PPe &micro;&beta; &rho;&omega;&gamma;&micro;&beta; . (13) In this M arkov m odel, chronic poverty, w hich is identified in Equation (7), depends not only on individual characteristics, represented by vectors jz and jx , but also on a state dependence <span class="highlight">com</span> ponent. This state dependence is pronounced w hen the probability to be poor in d is
20 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=20 www.undp-povertycentre.org/pub/IPCWorkingPaper36.pdf#page=20
18 International Poverty Centre W orking Paper n&ordm; 36 Finally, 73 per cent of total observed poverty from 1993 to 2003 (0.2013 in Table 2) is derived from a chronic condition, or a &lsquo;stationary&rsquo; propensity to poverty (0.1468/0.2013) w hile the rem aining 27 per cent is derived from transient poverty (0.0545/0.2013). W hen different poverty lines are <span class="highlight">com</span> pared, the deprivation w ith the highest chronic <span class="highlight">com</span> ponent is that of absolute indigence (82 per cent) w hile the other absolute poverty m easures
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Rafael Perez Ribas and Ana Fl&aacute;via M achado 19 vulnerable to changes in their state. Those w ho have <span class="highlight">com</span> pleted m iddle school show ed the low est chronic poverty level, 7.5 per cent, and w ere less subject to fluctuations in incom e. W ith regard to race, nonw hites exhibit the w orst poverty indicators, regardless of sex. In contrast, the characteristics that differentiate m en from w om en are sim ilar across races. M en present higher persistence (s) and dow nw ard m obility (e) rates: as a
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20 International Poverty Centre W orking Paper n&ordm; 36 Sim ulations (1) and (5), w hen <span class="highlight">com</span> pared, show that the <span class="highlight">com</span> pletion of m iddle school education by the household head reduces the probability of chronic poverty and generates significant transient gains. This result is sim ilar to that regarding individual features analyzed in Table 3. The differences observed in the indicators reveal that education goes a long w ay in explaining not only the relative position of individuals in the incom e
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