FALL COURSE 2020
The PhD Program in Applied Economics joins the online course on Experimental Economics organized by the Phd Program in Economics and Management (DEM) - Università degli studi Aldo Moro di Bari (Italy). This course is open to MAREB and PhD students.
EXPERIMENTAL ECONOMICS (21h)
Prof.: John Hey (University of York)
Web: : https://www.york.ac.uk/economics/our-people/staff-profiles/john-hey/#profile-content
Dates: Nov 11th - Dec 22nd 2020
Preliminary schedule:
1. Introduction: the purpose of experiments and their role in contributing to knowledge
Nov 11th (10.00-13.00 UK time)
2. The initial stages: choosing a topic and designing an experiment
Nov 18th (10.00-13.00 UK time)
3. Calibrating the experiment; choosing parameters
Nov 25th (10.00-13.00 UK time)
4. Software for the implementation of an experiment; testing the software
Dec 2nd (10.00-13.00 UK time)
5. Running the experiment, online or in the laboratory
Dec 9th (10.00-13.00 UK time)
6. Analysing the data from the experiment and writing up the results
Dec 16th (10.00-13.00 UK time)
7. Submitting the paper for publication
Dec 22th (10.00-13.00 UK time)
This course will be broadcast on the platform Microsoft Teams
SUMMER COURSE 2020
The PhD Program in Applied Economics organizes a summer course in Non-linear estimation techniques. The course is open to MAREB (option in Applied Economics) and PhD students.
NON-LINEAR ESTIMATION TECHNIQUES (8h)
Prof.: Lola Gadea (University of Zaragoza)
Web: https://www.lolagadea.com/
Dates: June 18th and 19th 2020
More information about time schedule and the content of the course will be available soon
SUMMER COURSE 2019
The PhD Program in Applied Economics organizes a summer course in Policy Evaluation. The course is open to MAREB (option in Applied Economics) and PhD students.
Tools for policy evaluation (8h)
Prof.: Raquel Carrasco (UC3M)
Web: https://www.eco.uc3m.es/personal/rcarras/index_en.html
Dates: June 17 (11:30–14:00 and 16:00–17:30) and June 18 (10:30–13:00 and 15:00–16:30)
Course content: the course will focus on the econometric techniques to implement the most widespread tools for policy evaluation. The course will cover several topics, including difference-in-difference, propensity score matching and regression discontinuity among others.
The follow up assessment will take into account the attendance of the course.
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