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Data deprivation : another deprivation to end (Inglês)

The Millennium Development Goal of halving the incidence of extreme poverty from its 1990 level will be achieved in 2015, and the international development community is now moving to a new goal of “ending extreme poverty.” However, the data needed to monitor progress remain severely limited. During the 10 year period between 2002 and 2011, as many as 57 countries have zero or only one poverty estimate. This paper refers to such lack of poverty data as “data deprivation,” because the poor are often socially marginalized and voiceless, and the collection of objective and quantitative data is crucial in locating them and formulating policy to help them exit extreme deprivation. This paper studies the extent of data deprivation and proposes targets for ending data deprivation by 2030—the year by when the international community aims to end extreme poverty. According to the analysis in this paper, this target is ambitious but possible, and achieving it is necessary to be able to declare the end of extreme poverty with confidence.

Detalhes

  • Autor

    Serajuddin,Umar, Uematsu,Hiroki, Wieser,Christina, Yoshida,Nobuo, Dabalen,Andrew L.

  • Data do documento

    2015/04/28

  • TIpo de documento

    Documento de trabalho sobre pesquisa de políticas

  • No. do relatório

    WPS7252

  • Nº do volume

    1

  • Total Volume(s)

    1

  • País

    Mundo,

  • Região

    Regiões Mundiais,

  • Data de divulgação

    2015/04/28

  • Disclosure Status

    Disclosed

  • Nome do documento

    Data deprivation : another deprivation to end

  • Palavras-chave

    poverty datum;availability of poverty data;poverty estimate;Upper Middle Income Countries;household survey data collection;cost of living adjustment;annual average growth rate;Demographic and Health Survey;living standard measurement;household consumption survey;poverty headcount rate;availability of data;quality of data;data on poverty;global poverty estimates;purchasing power parity;small island countries;international poverty line;international development community;global financial crisis;data collection method;per capita term;patterns of consumption;poverty monitoring effort;lack of transparency;poverty across country;real economic activity;estimation of poverty;reduction in poverty;labor force survey;fragile and conflict;impact of policy;consumer price index;poverty reduction program;long term commitment;per capita cost;international development agency;data availability;extreme poverty;minimum requirement;Poverty Measurement;data needs;data quality;data gaps;survey implementation;monitoring poverty;consumption datum;empirical evidence;populous country;consumption pattern;national account;sampling error;data frequency;previous one;addressing poverty;income module;economic shock;consumption module;empirical issue;south sudan;social indicator;external shock;collected information;monitoring progress;address datum;effective policies;population census;population size;social program;steady state;domestic fund;existing capacity;global standard;small country;sample household;weather shock;financial resource;current consumption;regular monitoring;bureaucratic inertia;future trends;common currency;Data Production;price adjustment;Poverty measures;real gdp;inflation data;financial cost;oecd countries;survey design;welfare aggregate;geographic coverage;official poverty;poverty trend;online tool;development policy;open access;international community;severely limits;quantitative data;political representation;cross-country comparison;social deprivation;eradicating poverty;promoting growth;policy work;global estimate;debt crisis;regional poverty;rural area;regional trends;real consumption;internationally comparable;extra time;data processing;technological progress;statistical system;collected data;global monitoring;

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