Gender inequality in Ecuador using poverty measures in RDS

I. Sánchez Borrego, M. M. M. Rueda García, H. Mullo Guaminga

Respondent-driven sampling (RDS) is a network-based sampling method used to survey hidden or hard-to-reach populations. We consider the problem of Gender income inequality in Ecuador by estimating poverty measures in RDS. We propose estimators of the distribution function and in particular, estimators of the poverty measures.

We use a RDS survey conducted in Ecuador in 2019 (Mullo et al. 2020) for surveying a population of young Indigenous, Montubios and Afro-Ecuadorians and studying their living conditions. We show differences in income between men and women, with larger dispersion for women’s income than for men’s.

References:
Mullo, H.S., Sánchez-Borrego, I., Pasadas, S. (2020): Respondent-driven sampling for
surveying ethnic minority in Ecuador. Sustainability 12, 9102
Rueda, M.; Sánchez-Borrego, I., Mullo, H. (2021): Estimation of poverty measures in Respondent-driven sampling. Preface XIX 1 Plenary Sessions, 418. Book of abstracts, SIS 2021.

Keywords: RDS, poverty measures, survey sampling

Posters III
June 9, 2022  10:10 AM
Faculty Hall

A. Pareja Ureña, A. M. Aguilera del Pino

M. J. Olmo-Jiménez, S. Vílchez-López, J. Rodríguez-Avi

V. Cueva López, J. Rodríguez Avi, A. J. López Montoya

I. Fernández Martínez, A. Rodríguez Collado, Y. Larriba, C. Canedo, C. Rueda

C. E. Carleos Artime, N. Corral Blanco, S. Álvarez Morán

I. Jiménez Manchado, R. M. Espejo Montes

J. A. Martín Fernández, V. Di Donato, V. Pawlowsky-Glahn, J. J. Egozcue

A. Conde Sánchez, S. M. Jiménez Zafra, M. T. Martín Valdivia, A. J. Sáez Castillo