This study investigates how mental health impacts early retirement decisions using data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey. The focus is on identifying the relationship between mental health and labour market exit timing, particularly early retirement.
Mental health conditions significantly increase the likelihood of early retirement.
Individuals with poorer mental health exhibit a higher probability of exiting the labour force earlier compared to those with better mental health.
The survival analysis approach highlighted the importance of mental health in shaping labour force participation decisions, influencing policy recommendations around retirement and mental health interventions.
This project aims to understand how general health status affects both absolute and relative income levels, using data from Israel's Central Bureau of Statistics (CBS). The analysis explores whether wealth inequalities contribute to health disparities and whether the effect varies between different religious groups.
Poor health is associated with lower absolute income levels..
Relative income disparities are more pronounced among general population, and marginally higher when assuming unknown function of income and health (semi-parametric approach).
The findings suggest that reducing the relative income gaps could contribute to better general health, especially in lower-income groups.
This study examines the causal effect of obesity on labour market outcomes, such as employment status, by applying a genetic instrumental variable approach. By using genetic data and the Mendelian Randomisation approach, the project seeks to overcome the endogeneity issue in obesity-related research.
Obesity negatively impacts employment rates and earnings, with more severe consequences for women.
The use of genetic instruments provided robust evidence of a causal relationship between obesity and labour market disadvantages.
The research highlights the importance of addressing obesity as a factor in labour market inequality, influencing both economic policy and public health strategies.