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PhD Dissertation Prospectus

Title: Leave No One Behind: Disability, Wellbeing, and National Policy

Erika Sanborne, Sociology PhD Candidate, University of Minnesota (CV)

Committee: Elizabeth Heger Boyle (Chair); Joan DeJaeghere; Phyllis Moen; and Tom VanHeuvelen

disabled people at work

Abstract

Wellbeing is an important aspect of quality of life and is closely linked to several Sustainable Development Goals (SDGs), including health, education, and reduced inequalities. This dissertation explores subjective wellbeing among disabled women, a population that often faces compounded challenges. Costa Rica, a middle-income country in Latin America known for its commitment to universal healthcare and its notably high national wellbeing, offers an ideal case study for examining these issues. This research aims to explore how disability and wellbeing intersect in different socio-economic contexts, using Costa Rica as a starting point and extending to global comparisons of wellbeing through an analysis of national disability policies.

Study

1

disabled women left behind

Disabled Development: Leave No One Behind

How are structural inequalities, such as ethnicity and region, linked to the wellbeing of disabled women in Costa Rica?

Study

2

cartoon explainer of disability variables and regression models

Social Model of Disablility Operationalization

Analyzing inequalities in well-being among Costa Rican women through constructed disability indicators.

Study

3

SDG 10 Reduced Inequalities

National Disability Policy Analysis

How does a nation state’s disability policy climate relate to the well-being of disabled women?

Acknowledgements

Please find here my sources of support: people, funding, data, and technology. While these valuable contributors aided this research with their support, any errors are solely mine.

My Committee

Elizabeth Heger Boyle (Chair); Joan DeJaeghere; Phyllis Moen; and Tom VanHeuvelen.
I thank you all for your labor in support of my scholarship.

IPUMS MICS Data

Anna Bolgrien, Elizabeth Heger Boyle, Matthew Sobek, and Miriam King. IPUMS MICS Data Harmonization Code. Version 1.1 [Stata syntax]. IPUMS: Minneapolis, MN. , 2024. https://doi.org/10.18128/D082.V1.1

User-written Stata Programs

I am grateful for the generous work and numerous, user-written programs and demos from Nick Cox (so many things); Ben Jann (i.e. coefplot, estout); J. Scott Long (i.e. SPost13); Richard Williams (gologit2).
I love Stata.

All the Funding Sources

I appreciate support from the Minnesota Population Center (P2C HD041023), funded through a grant from the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD).
IPUMS PMA is funded by the Bill & Melinda Gates Foundation. Additional support came through IPUMS DHS (NICHD R01HD069471) and IPUMS MICS (NICHD R01HD099182).

About IPUMS MICS

This research analyzes the IPUMS MICS Round 6. IPUMS MICS harmonizes Multiple Indicator Cluster Surveys (MICS) allowing comparative studies through consistent coding of variables.

References

Want to refer to my prelim?

It has been a while since I passed my written and oral preliminary exams. My written prelim is online for anyone who would like to review it.
decorative book cover
This is a collage of images comprising the cover of my written prelim.

Curious about the dolphin reference?

The dolphin outline, which has taken on a life of its own, is an expression for the kind of top-down processing required of most academic work from elementary grades through the PhD dissertation prospectus.
dolphins swimming with the Autistic PhD logo
Two cartoon dolphins are swimming in a tropical setting with the Autistic PhD logo.