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This module provides hands-on training in the use, presentation, and interpretation of economic data, including time series, cross-section, and panel data. It covers descriptive statistics, hypothesis testing, regression analysis, panel data, dynamic modelling, and time series models. The module aims to provide competence in econometric data analysis. Students will develop skills in using econometric software packages. The module emphasises the importance of understanding economic data analysis techniques. It prepares students to analyse and interpret economic data effectively.

This module introduces key theoretical and empirical concepts in modern microeconomic and macroeconomic analysis and policy. The module focuses on the conceptualisation and implementation of these concepts, with less focus on technical complexity. The microeconomics component covers consumer theory, decision-making under risk, imperfect competition, and incomplete information, equipping students to apply appropriate analytical techniques and to interpret consumer and firm behaviour. The macroeconomics component examines stylised macroeconomic facts and the underpinnings of the principal macroeconomic models used in theory and practice today. Students develop strong analytical skills and gain a clear understanding of economic cycles, frictions, and policy impacts. 

This module analyses the role of financial markets in the presence of frictions and examines the implications for corporate and consumer finance. Topics include saving decisions, credit market imperfections, asset allocation, asset pricing, bond markets, term structure of interest rates, and behavioural finance. The module aims to provide a comprehensive understanding of financial economics. Students will develop analytical skills and understand the impact of financial shocks on the economy. The module emphasises the importance of understanding financial market dynamics. It prepares students to analyse and interpret financial economic issues. 

A period of research and study designed to allow you to demonstrate familiarity with a particular area of economic theory or policy, or of applied economics or econometrics, and the ability to apply a specific analytical and/or empirical technique.

This module develops the quantitative toolkit used in modern applied microeconomics. Students will engage with the theoretical foundations of causal inference and learn to implement core identification strategies, including instrumental variables, difference-in-differences, and regression discontinuity designs, used to evaluate economic behaviour and policy. Emphasis is placed on bridging econometric theory with empirical practice, equipping students to critically assess published research and conduct original analysis using real-world data. Prior exposure to statistics and introductory econometrics is assumed.

This module studies macroeconomic policies primarily through the lens of general equilibrium models. It first covers the classical and New Keynesian models, the interaction between monetary and fiscal policies, and the design of optimal macroeconomic policies. Students develop quantitative skills by solving models numerically and running policy simulations. The module also examines the effects of policy shocks in the open economy, examining issues such as exchange-rate determination and current accounts. An emphasis is placed on developing intuition behind international economic interactions. 

The module introduces the core methods of machine learning and their application to economic research. Topics covered include regularisation, decision trees and ensemble methods, support vector machines, interpretable machine learning, dimensionality reduction via principal components and clustering, double-debiased machine learning for causal treatment effect estimation, and neural networks. Computer classes provide hands-on implementation experience using Python.

This module introduces research methods of experimental economics and their applications.  Students will learn experimental design principles and various core tools of experimentation. The module will illustrate different uses of experiments, such as testing theory or informing policy. The module explores the scope and limits of experiments and aims to develop skills for critically assessing experimental designs and results. In a practical part, students will design, implement, present and report a small-scale experiment. The module aims to provide a nuanced understanding of experimental methods and to provide students with hands-on experience in the conduct and interpretation of experimental research. 

This module introduces empirical methods for evaluating economic development policy interventions, organised into three blocks. The first block presents the design, implementation and analysis of Randomised Controlled Trials with applications to issues such as taxation, microcredit, labour and education. The second block addresses trade policy instruments, trade and non-trade barriers, trade costs and regional trade agreements, with methods including partial equilibrium and gravity models. The final block covers public spending, aid, FDI and multinationals. The module equips students to assess policy reforms, understand econometric and other empirical approaches for policy evaluation, and interpret the impacts of development policies in practice. 

This course studies global economic interactions through the lenses of international trade and finance. It begins with the foundations of trade theory, including comparative advantage and models emphasizing firm behaviour. It will also analyse trade policy, and the political economy of policy interventions. The course then examines macroeconomic linkages across countries, covering exchange rates, balance of payments adjustment, capital mobility, and open-economy monetary policy. Students engage with empirical evidence and policy debates to understand globalization, interdependence, and international adjustment mechanisms.