Summer Schools 2017 Summer Schools 2017

School of Economics PGR Summer Schools

All Summer Schools are free of charge for UEA registered PGR students and for PGR students from our potential DTP partners.  There will be a fee of £30 per full day for PGR students from other institutions and £60 per full day for all other attendees. Where programmes run for half a day, the fee will be reduced accordingly.

  • PhD Course on Imperfect Property Rights

  • Analytical Methods for Competition Policy

  • Discrete Choice Methods in Demand Estimation

  • Vertical Restraints

  • Methods for Competition Policy Evaluation

  • Experimetrics

  • Big Data and Data Visualisation using R

  • Behavioural Game Theory

Further details can be found below.


PhD Course on Imperfect Property Rights – Dr Gerald Pech and Dr Dina Sharipova

11th-12th May: 9am-1pm

Closing date for applications – 24th March


Strong property rights are generally seen as a prerequisite for successful economic development. Yet property rights regimes in many emerging and transition economies are perceived as politically contingent, insecure and of limited legitimacy.

This two-day course on the economics of property rights in emerging economies addresses students of Economics, Development, Politics and International Relations. It will be delivered by Dr Gerald Pech and Dr Dina Sharipova from KIMEP University in Kazakhstan. It focuses in particular on Central Asian and post-Soviet countries.

The first part of the course addresses general issues such as how property rights get established, the mechanisms underlying weak property rights and why they persist. The second part surveys evidence from Central Asian and post-Soviet countries and explores avenues for economic and social research.

The course is designed to be of particular interest for postgraduate students in Economics, Development, Politics, and International Relations.


Analytical Methods for Competition Policy– Professor Eugenio Miravete

12th-14th June: 9am- 12pm

Closing date for applications – 28th April


This course reviews the difficulties that practitioners and research economists encounter when trying to apply economic models to data seeking to establish the market conduct and firm behaviour. Identification of market conduct is key to establish abuse of dominant position, collusion, damages, predatory behaviour, or anticompetitive effects of mergers among many others. This course is primarily targeted towards consultants in competition policy, but also open to graduate students interested in the subject

We will cover tools and concepts, ranging from simple to moderately complicated, that are used to evaluate empirically whether a market needs to be regulated, firms can be prosecuted, or damages can be claimed. In all those circumstances, equilibrium economic models are used in counterfactual analysis to determine by how much the current observed behaviour deviates from the efficient competitive outcome. Material will be presented in connection with summaries of empirical studies to illustrate the pros and cons of using different methods. The course can be complemented with the afternoon school on “Vertical restraints”.


Discrete Choice Methods in Demand Estimation – Dr Farasat Bokhari

12th-14th June: 9am- 12pm

Closing date for applications – 28th April


Policy issues related to impact of introduction of new goods, taxation on imports or horizontal mergers often begin with careful estimation of demand for differentiated products, followed by counterfactual exercises using the estimated demand parameters. There is a large and growing literature on demand estimation. This short workshop will review some of the popular techniques of demand estimation in product and characteristics space approaches, and will then focus in on estimation details in discrete choice models. Topics covered will include logit estimation, an overview of the BLP method (Barry, Levinsohn & Pakes, 1995) and estimation of nested and random coefficients logit models. As part of the course we will also conduct merger analysis and simulations. The course can be complemented with the afternoon school on “Vertical restraints”.


Vertical restraints – Professor Kai-Uwe Kühn

12th-14th June: 1pm - 4pm

Closing date for applications – 28th April


This 9 hours course provides an introduction to topics in vertical restraints: theories to generate anti and pro-competitive effects, Resale-Price Maintenance (RPM), Exclusive Dealing, vertical ‘most favoured nation’ clauses (MFNs). These topics have become a central focus of discussions on competition policy towards and regulatory intervention in the internet economy. The course presents the relevant theoretical framework, but is closely anchored in actual market behaviour and is geared towards an applied audience. The course applies the conceptual framework developed to an assessment of the most important internet cases.


Methods for competition policy evaluation – Dr Franco Mariuzzo

12th-14th June: 1pm - 4pm

Closing date for applications – 28th April


The objective of this module is to show how to conduct policy evaluations in competition policy. We will examine various types of methodologies that have been used within competition policy to evaluate policy outcomes. We will see which methodologies have been employed to evaluate mergers, cartels and abuse of dominant positions, and understand the way they operate and assumptions they rely on. There will be a discussion on methodologies more suitable for ex-ante and ex-post policy evaluations. We will try and emphasize advantages and disadvantages of each of the alternative methods available, and in the last part of the module we will see how methodologies have adapted and responded to new challenges to competition imposed by a more digital economy.

The module is structured in a way to cover the main methodologies from an introductory econometric perspective, view their application within competition policy and employ real world and simulated data to play around with the methodologies, as to gain deeper insight of the methods. Of course, given the key role of data, part of the discussion will be on the data that are needed to conduct proper applied analysis.

The module does not require pre-requisites in economics and econometrics and thus will be suitable to consultants and graduate students of any background. This module complements the course “Analytical Methods for Competition Policy” offered in the morning school by Professor Eugenio Miravete.

The expected learning outcomes are: familiarize with the many existing methods and gain insight on the way those work (pros and cons) and recognize when, and how, they should be applied.


Experimetrics – Professor Peter Moffatt

20th – 21st June, 9am - coffee; the course runs 9.30am – 6pm

Closing date for applications – 28th April


This workshop is divided into three parts. In the first part, non-parametric and parametric tests of experimental treatments will be covered. In the second part, the econometrics of theory testing in the context of auction experiments and market experiments will be considered. The final part will be concerned with the problem of estimation of social preference parameters using data from distribution experiments


Big Data and Data Visualisation using R – Dr Jibonayan Raychaudhuri and Dr Jack Fosten

27th - 29th June; 10am-12pm and 2pm-4pm

Closing date for applications – 28th April


This is a two-part course aimed at training students in the latest techniques in data analysis.

The first part of the course, taught by Dr Jibonayan Raychaudhuri, is designed as an introduction to data visualization techniques using the R programming language.  This is a “self-contained” course where we will first learn how to import (well –formatted) data into R. Then we will learn how to draw graphs using the base R graphics package. Next we will look at lattice – an R package which improves on the base R graphics package by providing us with an easy way of displaying multivariate relationships. Then we will learn about the ggplot2 package – a plotting system for R – based on the grammar of graphics, which provides a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Participants should have access to a computer with administrative rights as this course is meant to be interactive. Participants are encouraged to learn by working out exercises. Ideally, participants should already have R and R-Studio already installed on their machines.

The second part of the course is an introduction to statistical methods used in analysing high-dimensional economic data, or ‘big data’. The course is taught by Dr. Jack Fosten. Nowadays it is often the case that economic researchers have access to data on hundreds or thousands of economic variables, making it difficult to specify an informative predictive model. This course moves beyond standard regression techniques such as Ordinary Least Squares (OLS), which break down in the face of big data, and will cover topics such as stepwise selection, penalised regression (Ridge and LASSO), and factor models, all of which are sometimes referred to as ‘machine learning’ methods. This will enable econometric models to be built on robust statistical grounds in situations where there may be many more variables than there are sample points. The course will follow theoretical sessions in the mornings and computer lab sessions in the afternoon which will use the computer package R. In the first day, the theory and lab sessions will mostly cover microeconomic applications whereas the second day will be geared towards time series applications.


Behavioural Game Theory – Dr Amrish Patel

First week of July 2016 (2 days, 9 hours)

Closing date for applications – 28th April


Evidence suggests that individuals care about more than just their material payoffs in strategic situations. More specifically, they may be motivated by feelings of anger, guilt or reciprocity, for instance. “Psychological Game Theory” (PGT) provides the tools to understand the outcome of such feelings by developing models of “belief-dependent preferences”. In this course students will be introduced to fundamental results in PGT, specific models of preferences (like guilt-aversion), experimental tests and applications. The course includes guest lectures from experts in the field.

Students will also be invited to attend the 3rd UEA workshop in Behavioural Game Theory (on Psychological Games) where world-leaders in the field will present their latest research. A limited number of scholarships will be available to reimburse students’ fees, travel and lodging for the summer school and workshop.