IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-4166-5_52.html
   My bibliography  Save this book chapter

Surveys, Big Data, and Experiments

In: Handbook on Economics of Discrimination and Affirmative Action

Author

Listed:
  • Dominik Koehler

    (World Bank)

  • Nicholas Menzies

    (World Bank)

Abstract

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 LGBTI people difficult, and it also makes it difficult to know whether sexual orientation and gender identity and expression focused policies and programs are working. Filling this data gap is necessary to understand the development outcomes for LGBTI 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 chapter provides guidance on how to study development outcomes for LGBTI people, by paying attention to the different ways to define sexual orientation, gender identity and expression (SOGIE), and sex characteristics; and collecting samples that allow conclusions to be drawn among LGBTI people, as well as the general population.

Suggested Citation

  • Dominik Koehler & Nicholas Menzies, 2023. "Surveys, Big Data, and Experiments," Springer Books, in: Ashwini Deshpande (ed.), Handbook on Economics of Discrimination and Affirmative Action, chapter 13, pages 299-321, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-4166-5_52
    DOI: 10.1007/978-981-19-4166-5_52
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Lesbian; Gay; Bisexual; Transgender; LGBTI; Sexual orientation; Gender identity; SOGI; Development outcomes; Population size; Surveys; Big data; Experiments;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-19-4166-5_52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.