SFOK18006U Not offered in the spring semester 2019 - Advanced Health Economics with STATA
MSc in Public Health Science - elective course
MSc in Health Informatics - elective course
MSc in Global Health - elective course
MSc in Human Biology - elective course
MSc in Health Science - elective course
The focus of the current course is the evaluation problem, i.e., how to identify causal effects from natural quantitive data. We elaborate on health economic theories know from the mandatory health economics courses at the public health department and combine these theories with the econometrician’s tool-box to analyze patterns in health surveys typically used in public health and health economics.
During the course we will use the software STATA to analyze individual level data, e.g., from Survey on Health Aging and Retirement in Europe (SHARE) but other data sources could be applied, too. One application will be the socio-economic gradients in health, which have gained large attention in both epidemiology and economics. Using real data we take the economist’s approach and analyze how health measures relate to household choices and characteristics.
One central focus in the course will be to distinguish correlations from causal effects and the students will be introduced to state-of-the-art difference-in-differences estimators, instrumental variables and regression discontinuity designs. These topics requires algebra. Still, we will learn many of these techniques by doing. Therefore a central part of the course is the practical coding and the of estimation models in STATA.
After the course the students are expected to:
- Knowledge
- Explain central health economic concepts related to micro behavior
- Reflect on the counterfactual problem in health econometric applications
- Explain and apply econometric techniques (eg. OLS, Instrumental variables, differences in differences) to identify causal relationships
- Reflect on underlying assumptions for these models
- Skills
- be able to understand and extract relevant information from scientific papers in applied health econometrics
- be able to choose among econometric models for different applications and argue for the choice
- formulate testable research questions related to casual relations
- assess not only the advantages of different techniques, but also their pitfalls
- be able to write clearly about data, econometric analyses and results
- interpret empirical results within a health economic framework
- STATA coding
- be able to carry out micro-econometric analyses on individual level data using STATA software
- Competencies
- Independently plan and carry out health economic evaluations using micro data.
- Professionally, being able to (cross-disciplinarily) understand empirical strategies of health economists and comparing them to those of epidemiologist.
Book:
Mastering 'Metrics: The path from cause to effect, Joshua D. Angrist and Jörn-Steffen Pischke
Papers (more papers may be added to the list during the course):
Cutler, DM and Lleras-Muney A. Education and Health: Evaluating
Theories and Evidence. In RF Schoeni, JS House, G Kaplan and H
Pollack (Eds.): Making Americans Healthier: Social and Economics
Policy as Health Policy, , New York: Russell Sage Foundation 2008.
Published as NBER working paper:
dx.doi.org/10.3386/w12352
Almond, D and Currie, J, ”Killing me softly: The Fetal Origins
Hypothesis”, Journal of Economic Perspectives—Volume 25, Number
3—Summer 2011—Pages 153–172
http://dx.doi.org/10.1257/jep.25.3.153
Almond, Douglas. 2006. “Is the 1918 Influenza Pandemic Over?
Long-Term Effects of in utero Influenza Exposure in the Post-1940
U.S. Population.” Journal of Political Economy, 114(4): 672–712
Link to paper
Smith, James P., 2009, “The Impact of Childhood Health on Adult
Labor Market Outcomes”, The Review of Economics and Statistics,
August 2009, 91(3): 478-489
http://www.mitpressjournals.org/doi/pdf/10.1162/rest.91.3.478
Angrist, Joshua D., and Alan B. Krueger. 2001.
"Instrumental Variables and the Search for Identification:
From Supply and Demand to Natural Experiments." Journal of
Economic Perspectives, 15(4): 69-85.
http://dx.doi.org/10.1257/jep.15.4.69
Angrist, Joshua D., “Instrumental variables methods in experimental criminological research: what, why and how”, Journal of Experimental Criminology (2006) 2: 23–44
http://dx.doi.org/10.1257/jep.15.4.69
Currie, J. & Madrian, BC. (1999): Health, health insurance
and the labor market (eds.): Handbook of Labor
Economics, Vol. 3 , chapter 50, p.
3309-3416
http://dx.doi.org.ep.fjernadgang.kb.dk/10.1016/S1573-4463(99)30041-9
Student lecture-to-lecture hand-ins (homework) including STATA coding, results and written work. Supervised by the lecturer, the students will go through own STATA codes on projector.
- Category
- Hours
- Class Instruction
- 30
- Exam
- 125
- Preparation
- 120
- Total
- 275
Feedback takes place during the entire course. Students upload homework and feedback is given from peers and lecturer at a dedicated poster session midway in the course. At the end of the course, students hand in an outline of their course paper (not the final final paper). Each outline is given written teacher feedback.
Open for credit transfer students. Apply here:
Credit transfer students:
http://healthsciences.ku.dk/education/other-programme-options/credit-transfer-students/
A limited number of slots are available for credit transfer students.
- Credit
- 10 ECTS
- Type of assessment
- Written assignmentWritten assignmentCourse paper
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Exam period
- Re-exam
Please see the exam schedule at KUnet
The exam form in the re-examination may differ from the ordinary exam. Should this happen, students registered for the re-examination will be informed as soon as possible.
Criteria for exam assesment
To achieve the grade 12 the student is expected to:
- Knowledge
- Explain central health economic concepts related to micro behavior
- Reflect on the counterfactual problem in health econometric applications
- Explain and apply econometric techniques (eg. OLS, Instrumental variables, differences in differences) to identify causal relationships
- Reflect on underlying assumptions for these models
- Skills
- be able to understand and extract relevant information from scientific papers in applied health econometrics
- be able to choose among econometric models for different applications and argue for the choice
- formulate testable research questions related to casual relations
- assess not only the advantages of different techniques, but also their pitfalls
- be able to write clearly about data, econometric analyses and results
- interpret empirical results within a health economic framework
- STATA coding
- be able to carry out micro-econometric analyses on individual level data using STATA software
- Competencies
- Independently plan and carry out health economic evaluations using micro data.
- Professionally, being able to (cross-disciplinarily) understand empirical strategies of health economists and comparing them to those of epidemiologist.
Course information
- Language
- English
- Course code
- SFOK18006U
- Credit
- 10 ECTS
- Level
- Full Degree Master
- Duration
- 1 semester
- Placement
- Spring
- Schedule
- See Syllabus
- Course capacity
- 40 students
- Study board
- The Study Board for Public Health Science and Global Health
Contracting department
- Department of Public Health
Contracting faculty
- Faculty of Health and Medical Sciences
Course Coordinators
- Torben Heien Nielsen (3-766a704267657170306d7730666d)