Respondent-Driven Sampling for Surveying Ethnic Minorities in Ecuador

Héctor Mullo, Ismael Sánchez-Borrego and Sara Pasadas-del-Amo
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Héctor Mullo: Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador
Ismael Sánchez-Borrego: Department of Statistics and Operations Research, University of Granada, 18071 Granada, Spain
Sara Pasadas-del-Amo: Instituto de Estudios Sociales Avanzados, Spanish National Research Council (IESA-CSIC), 14004 Córdoba, Spain

Sustainability, 2020, vol. 12, issue 21, 1-17

Abstract: In this work, we consider the problem of surveying a population of young Indigenous, Montubios and Afro-Ecuadorians to study their living conditions and socioeconomic issues. We conducted a Respondent-driven sampling (RDS) survey in the canton of Riobamba, Ecuador. RDS is a network-based sampling method intended to survey hidden or hard-to-reach populations. We have obtained RDS estimates and confidence intervals of these characteristics. We have illustrated and discussed some of the assumptions of the method using some available diagnostic tools. Our results suggest that RDS is an effective methodology for studying social and economic issues of this ethnic minority in Ecuador. This technique is relatively easy to implement and has the potential to be applied to survey other hidden populations in other settings.

Keywords: respondent-driven sampling; Indigenous people; Ecuador; housing satisfaction; poverty; well-being; social exclusion; quality of life (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:21:p:9102-:d:438601

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