95592 - DEVELOPING A RESEARCH PROPOSAL IN HEALTH ECONOMICS, MANAGEMENT AND POLICY

Academic Year 2025/2026

  • Docente: Daniela Iorio
  • Credits: 3
  • SSD: SECS-P/01
  • Language: English
  • Teaching Mode: Traditional lectures
  • Campus: Bologna
  • Corso: Second cycle degree programme (LM) in Economics and Public Policy (cod. 5945)

Learning outcomes

At the end of the learning activity, the student has a thorough view of the main directions of current research in health economics, policy and management. He/she attains the ability to develop critical and original views on both empirical and theoretical directions of research.

Course contents

This course will walk students through the process of effectively writing a master's thesis in health economics and policy. It will cover methods and strategies for generating research ideas, collecting, processing, and analyzing relevant data, and presenting findings both in writing and through oral presentations.

Readings/Bibliography

  1. Causal inference: the mixtape [https://mixtape.scunning.com/] by Scott Cunningham
  2. The Effect: An Introduction to Research Design and Causality [https://theeffectbook.net/] by Nick Huntington-Klein
  3. Economical Writing [https://press.uchicago.edu/ucp/books/book/chicago/E/bo25674588.html] by Deirdre McCloskey
  4. Code and Data for the Social Sciences [https://web.stanford.edu/~gentzkow/research/CodeAndData.pdf] by Matthew Gentzkow and Jesse Shapiro
  5. Stata Coding Guide [https://julianreif.com/guide/] by Julian Reif

Assessment methods

The final grade will be split between:

Research proposal (6 page) --- 70%

Class presentation (10 min) --- 30%

The grading system is on a 0-30 range. The maximum possible score is 30 cum laude, in case everything is correct, complete, and formally rigorous. The following grid applies:

  • 30 cum laude: Excellent preparation and analytical skills, expressed in a correct and precise language; ability to analyze critically and to link different concepts, mastery of specific terminology
  • 27-30: Very good preparation and analytical skills, expressed in a correct and precise language; very good ability to analyze critically and to link different concepts.
  • 24-27: Good preparation and analytical skills, expressed in a formally correct language. Some minor imprecision in the exposition and use of technical concepts
  • 21-24: Satisfactory preparation and analytical skills, expressed in a formally correct language. Some imprecisions in the exposition and use of technical concepts
  • 18-21: Sufficient preparation and analytical skills, expressed in a formally correct language. Many imprecisions in the exposition and use of technical concepts
  • 17 or less: fail

Candidates will be required to enroll for exams via the University's electronic service (AlmaEsami). Exam marks will be published via the University's electronic service (AlmaEsami).

After exams students will be entitled to see their script by attending the lecturer’s office hour.

Students will be allowed to reject their final grade for the course at most ONCE. When exam results are published, the date by when students must notify the course lecturer f their intention to reject their mark, will be communicated to candidates. Notification of the intention to reject must be sent in writing (by email). After the date specified, marks will be electronically registered (verbalizzato)

Teaching tools

See Virtuale

Office hours

See the website of Daniela Iorio

SDGs

Good health and well-being

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.