pathway: Advanced Quantitative Methods

My research focuses on financial inclusion from the perspective of individuals and households, specifically on the identification of socio-economic, institutional, legal, and cultural barriers that prevent individuals from using the formal financial system. Methodologically, my interests are in the application of quantitative methods including multi-level and spatial modelling to determine patterns of exclusion at national and local levels.

My primary research areas include social geography, medical sociology, population health and social policy, and quantitative research methods. My doctoral research focuses on the complex factors influencing subjective well-being and depression among the aging population. Using a multi-level research framework based on social ecology, I developed a model that spans individual, community, and provincial levels to explore geographic disparities and the various influences on well-being and depression in this group. My research examines how micro-level (individual), meso-level (family relationships and community factors), and macro-level (provincial economic and social inequalities) factors interact to explain geographical differences in subjective well-being and depression among older adults.