EC536
Economics of Industry for Research Students
This information is for the 2020/21 session.
Teacher responsible
Dr Pasquale Schiraldi 32L.4.22, Prof Alessandro Gavazza 32L.4.21 and Prof Martin Pesendorfer 32L.4.19
Availability
This course is available on the MRes/PhD in Economics. This course is not available as an outside option.
Course content
The main goal is to familiarize students with selected theoretical and empirical topics in industrial organization and to put students in a position to do their own research.
Classical IO theory, well established empirical techniques including estimation of demand, production and models of strategic interaction and topics at the forefront of current IO research will be covered.
Teaching
30 hours of lectures in the MT. 30 hours of lectures in the LT.
This year, at least for Michaelmas term, some or all of the teaching for this couse may have to be delivered thought a combination of virtual webinars, online videos and virtual classes
Formative coursework
Students will discuss papers in lectures.
Indicative reading
Readings will be mainly from journal articles; a list will be supplied at the start of term.
Assessment
Problem sets (100%) in the MT and LT.
8 take home problem sets (two for each part - four in MT and four in LT). Each problem set will carry equal weight. Problem set questions may include an empirical exercise analysing data, a computation exercise, solving an analytical problem or evaluating a recent unpublished working paper.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Economics
Total students 2019/20: 12
Average class size 2019/20: Unavailable
Value: One Unit