Surveys, Big Data, and Experiments : How Can We Best Learn about LGBTI Development Outcomes?
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, transgend...
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| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2017
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| Online Access: | http://documents.worldbank.org/curated/en/828531501521958802/Surveys-big-data-and-experiments-how-can-we-best-learn-about-LGBTI-development-outcomes http://hdl.handle.net/10986/27963 |
| Summary: | 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. |
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