There is little rigorous quantitative data about the lives of lesbian, gay, bisexual, transgender, and intersex (LGBTI) people in developing countries. This makes the development of policy to improve the welfare of lesbian, gay, bisexual, transgender, and intersex people difficult, and it also makes it difficult to know whether lesbian, gay, bisexual, transgender, and intersex–focused policies and programs are working. Filling this data gap is necessary to understand the development outcomes for lesbian, gay, bisexual, transgender, and intersex people. Quantitative data practices exist that can be drawn on to fill the gap, including household surveys, experiments, and big data analysis. Summarizing existing experience, this paper provides guidance on how to study development outcomes for lesbian, gay, bisexual, transgender, and intersex people, by: paying attention to the different ways to define sexual orientation, gender identity and expression, and sex characteristics; and collecting samples that allow conclusions to be drawn with the broader lesbian, gay, bisexual, transgender, and intersex community, as well as the general population.
Details
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Author
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Document Date
2017/07/31
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Document Type
Policy Research Working Paper
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Report Number
WPS8154
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Volume No
1
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Total Volume(s)
1
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Country
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Region
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Disclosure Date
2017/07/31
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Disclosure Status
Disclosed
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Doc Name
Surveys, big data, and experiments : how can we best learn about LGBTI development outcomes ?
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Keywords
gender identity;men who have sex with men;Sexual Orientation and Gender Identity;access to the internet;population at large;big data;access to goods;health care facilities;data collection method;discrimination in employment;basis of race;health care facility;labor market outcome;victims of gender;quantitative data collection;data collection effort;mental health issues;family and friends;means redress;online survey;sex characteristics;sampling strategy;gay man;sampling method;general population;life chances;population estimate;sexual minorities;sexual behavior;socio-economic status;population size;drop-in center;large population;respondents felt;same-sex couple;personal information;labour market;social media;response rate;probability sampling;remote area;experimental method;social context;national population;human rights;
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Citation
Koehler,Dominik Menzies,Nicholas
Surveys, big data, and experiments : how can we best learn about LGBTI development outcomes (English). Policy Research working paper,no. WPS 8154 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/828531501521958802/Surveys-big-data-and-experiments-how-can-we-best-learn-about-LGBTI-development-outcomes