Milagros (Milo) Vandemoortele

Milagros (Milo) Vandemoortele

PhD candidate

Department of Social Policy

Connect with me

Dutch, English, French, Spanish
Key Expertise
Inequality, Intergenerational issues, Development

About me

Research topic:

Inequality in Attainment: Parental Resources and Children’s Cognitive Development in Four Low and Middle Income Countries

Milo Vandemoortele’s research interests lie in examining the association between parental resources and educational attainment in low- and middle-income countries. She taught as a graduate teaching assistant at the Department for Methodology, in quantitative subjects.  Prior to LSE, Milo worked as a researcher at the Overseas Development Institute (ODI, London) in the Growth, Poverty and Inequality Programme.

Milo has a degree in economics (University of Pennsylvania) and an MPhil in Development Studies (Institute of Development Studies-Sussex). As part of the ESRC 1+3 doctoral training programme she obtained an MSc in Social Research Methods at the LSE. She is fluent in Spanish, French and Dutch.

Milo’s doctoral project is titled 'Inequality in Attainment: Parental Resources and Children’s Cognitive Development in Four Low and Middle Income Countries'

Research interests:
Inequality, Intergenerational issues, Development, Quantitative data analysis, Measurement

Supervisors: Professor Stephen Jenkins, Dr Kitty Stewart


Selected work:

Vandemoortele, M., Natali, L., and Geddes, M. (2014) Measuring Equitable MDG Progress. European Journal of Development Research26, 651–675

Vandemoortele, M. (2014). Measuring Household Wealth with Latent Trait Modelling: An Application to Malawian DHS Data. Social Indicators Research118(2), 877-891.

Vandemoortele, M., Bird, K., Toit, A. D., Liu, M., Sen, K., & Soares, F. V. (2013). Building Blocks for Equitable Growth: Lessons from the BRICS. International Organisations Research Journal2, 16-57.

Outside work

Mother to two young kids

Expertise Details

Inequality; Intergenerational issues; Development; Quantitative data analysis; Measurement