HP426      Half Unit
Applied Health Econometrics

This information is for the 2019/20 session.

Teacher responsible

Dr Elisabetta De Cao OLD 1.11


This course is compulsory on the MSc in International Health Policy (Health Economics). This course is available on the MSc in International Health Policy. This course is available with permission as an outside option to students on other programmes where regulations permit.


Students must have completed Health Economics (HP420).

Alternatively, students should have completed another foundation course in microeconomics.  If this was completed outside of the LSE at an undergraduate level, please contact Dr. De Cao for further advice.

Course content

Most research questions, in health economics require students to apply econometric techniques. This course will introduce these techniques and students exiting the course can expect to have acquired a competency in econometrics as it is applied to health economics. The seminars- which are lab based- will allow students to apply these methods to practical problems using Stata and interpret the results.

This content of this course may be useful to those considering the half unit HP423 Advanced Health Economics. 


11 hours of lectures and 18 hours of seminars in the MT.

All lectures and seminars will be taught by Dr. Elisabetta De Cao. The lectures will be 2-hour long in week 1, and then 1-hour long in weeks 2-5 and weeks 7-11. The seminars will be weekly from week 2 through 11 (with the exception of week 1 where you will have no seminar). 

Formative coursework

One formative assessment will require the analysis of some data in STATA and the description of the results.

Indicative reading




Project (100%, 3500 words).

100% One Research project (data analysis with STATA and write-up of 3,500 words) submitted in LT

Key facts

Department: Health Policy

Total students 2018/19: 31

Average class size 2018/19: 15

Controlled access 2018/19: No

Value: Half Unit

Guidelines for interpreting course guide information

Student performance results

(2015/16 - 2017/18 combined)

Classification % of students
Distinction 30
Merit 44
Pass 18
Fail 8