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Regional Differences in the Effects of Education on Parity Progression Ratios in Ethiopia: A Random Effect Sequential Probit Modeling Approach
Stockholm University, Faculty of Social Sciences, Department of Statistics.ORCID iD: 0000-0002-2910-8432
Stockholm University, Faculty of Social Sciences, Department of Psychology, Stress Research Institute.ORCID iD: 0000-0001-9910-1132
2022 (English)In: / [ed] Population Association of America, 2022Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Sequential probit approach is used to model differentials in the effects of women’seducation on parity progression in Ethiopia. Since reasons to have a first childmay differ from those to have, say, a second or third child, we allow the effects ofcovariates on the progression propensities to vary between parities in the same model.Data used for illustration come from the Ethiopian Mini Demographic and HealthSurvey of 2019 in which 8885 women from 11 regions were interviewed. Resultsshow that the sequential model provides more insight than conventional modelswhen exploring the association between education and parity progression. We alsofound similarities and differences in the effects of education on parity progressionamong the regions. A random effect term to account for women’s clustering withinhouseholds was significant in a model for the entire country but disappeared whenregion was included as a covariate in the model.

Place, publisher, year, edition, pages
2022.
National Category
Probability Theory and Statistics
Research subject
Statistics; Demography
Identifiers
URN: urn:nbn:se:su:diva-215644OAI: oai:DiVA.org:su-215644DiVA, id: diva2:1745234
Conference
2022 Annual Meeting of the Population Association of America (PAA), Atlanta (Georgia, USA), 6-9 April 2022
Available from: 2023-03-22 Created: 2023-03-22 Last updated: 2023-03-23Bibliographically approved

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Regional Differences in the Effects of Education on Parity Progression Ratios in Ethiopia: A Random Effect Sequential Probit Modelling Approach

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Ghilagaber, GebrenegusPeristera, Paraskevi

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