B5430 - GENDER EQUALITY IN HEALTH

Conoscenze e abilità da conseguire

Investing in women’s health has the potential to contribute to economic and social development, and benefit not only individual women but also their families, communities, and society as a whole. In this course we will study gender equality in health including topics like gender differences in health status and behaviours, gender inequalities and barriers in terms of access to health services, sexual and reproductive health, gender segregation in the healthcare workforce, and gender-sensitive training and education for health professionals. Each topic will be tackled utilizing cutting-edge empirical tools needed to evaluate health policies and interventions, such as event studies, difference-in-differences, regression discontinuity, synthetic controls, and machine learning.

Contenuti

This course is heavily empirical.

At least one previous course in microeconomics and one in econometrics are recommended.

The topics to be covered include: sexual and reproductive health, mental health, harmful gender norms, gender discrimination in health care, other forms of discrimination.

Testi/Bibliografia

The course will be based on various scientific articles mostly published in economic journals. The full list will be provided in Virtuale.

Metodi didattici

In person lectures, practical tutorials

Modalità di verifica e valutazione dell'apprendimento

The final grade will depend on:

• Group work
• Final exam

More details will be provided in the Virtuale page of the course.

The maximum possible score is 30 cum laude, in case all answers/course works are correct, complete and formally rigorous.

The grade is graduated as follows:

<18 failed
18-23 sufficient

24-27 good

28-30 very good

30 e lode excellent

Strumenti a supporto della didattica

Dedicated page on the VIRTUALE platform containing:

• News and updated information
• Lectures slides
• STATA lab material

Software STATA: can be installed on students' personal computers (CAMPUS license) and is available at the Computer Lab of the School of Economics and Management.

Orario di ricevimento

Consulta il sito web di Elisabetta De Cao