How do you optimise sticky price models? What implication does this have on monetary policy? How do you apply the New Keynesian model to monetary aspects of the business cycle? Study theoretical models and empirical evidence for monetary aspects of the business cycle, and learn how to critically assess work.

What are the distinctive features of less developed economies? How do theories around child labour or inequality explain poverty? What economic policies could alleviate such problems? Understand the issues facing developing countries, examining policies theoretically and empirically. Act as a policy advisor, undertaking research on issues of development economics.

Study the concepts of risk and return in equity markets, both in the context of asset pricing, and in the management of equity portfolios. You will start by focusing on the analysis of the stylised facts of asset returns, and will then review the theoretical foundations of modern finance, covering expected utility theory and risk aversion.

How do individuals make decisions? When does classic economic theory not predict empirically observed behaviour? And how do you then use behavioural economics to reconcile your empirical findings with theoretical models? Learn about empirical and theoretical research in behavioural economics that can be used to explain individual decision making.

What happens when classic economic theory doesn’t predict empirically observed behaviour? Can behaviour economics help? Study strategic interactions and markets using behavioural economics to reconcile empirical findings with theoretical models. Gain an understanding of experimental methods used in behavioural economics.

This postgraduate module equips you with the key tools in modern data science, with a focus on machine learning (ML) and its application to Economics and Finance. The main goal of this module is to enable you to understand how machine learning tools can complement the tools of traditional econometrics and how to apply these techniques to real-world economics and finance problems. By the end of this module you will have: 1. Developed a comprehensive understanding of key concepts in modern machine learning (ML): classification, prediction, supervised and unsupervised learning 2. Demonstrated a critical understanding of the advantages and disadvantages of ML as compared to traditional econometric approaches 3. Applied ML to real-world economics and finance problems, with examples based on: i. Prediction ii. Causal Inference and Policy Evaluation

How do firms interact? What impact does this have on products that are available to you? Or the price that you pay? Understand current thinking on industrial organisation, with a focus on competition policy, regulation and business strategy. Apply analytical models of firm behaviour and strategic interaction to real-life situations.

Despite all the talk about the “death of distance”, geography matters more than ever. This course is a journey through the current economic landscape. We will try to understand the economic forces driving trends in wages, productivity and innovation across cities and regions. These are the forces that will define the geography of future jobs and will shape the economic destiny of local communities around the world.

What are the main uncertainties for international financial markets? What causes a currency crisis? How do you deal with global imbalances? Understand the analytical tools used in the field of international macroeconomics and finance. Demonstrate how such tools can be applied by examining key policy issues of interest today.

What compensation should CEOs get? How can you motivate team performance? What impact does an altruistic manager make? Study real-world issues like policymaking, finance and management using economic models from contract theory, incentive theory, and the theory of the firm.

This module equips you with the tools to critically access experimental methods commonly used in economics. You will put theoretical knowledge into practice, learning how to design experiments and interpret results. With a growing interest in behavioural considerations, experiments are increasingly used not only in psychology, but also economics and political science. Recognizing the value of controlled variation to study causal relationships, large companies also increasingly use "A-B testing".

This module equips you with the tools commonly used in economics to critically assess the efficacy of current policies and the effects of policy changes. You will put theoretical knowledge into practice, closely reviewing canonical applications of these tools in the economics literature as well as performing evaluations yourself.

Get to grips with modern microeconometrics. Examine the nature of causal and noncausal models, discuss the nature of microeconomic data structures, and review core econometric methods in the first part of this module. Then, analyse limited dependent variable models, including discrete choice and selection models, and examine program evaluation methods.

How do you analyse stationary time series? Or non-stationary (integrated) processes? Understand the econometric methods available to analyse models of economic time series. Examine how methods of estimation and inference can be applied to these models. Learn how to use these methods in your own research.

What are the main issues with panel data? And the main econometric techniques to analyse panel data? What methods can you use to evaluate spell duration data? Answer such questions with examples from labour economics, while gaining the skills to analyse a variety of research and policy problems.

What are the principles of modern survey design? And what is best practice? Explore the fundamentals of survey design and the concept of survey error. Analyse different types of design and modes of data collection, drawing on real-life examples. Build the transferable study skills required to conduct professional surveys. As part of this module, you're required to undertake a 10-day work placement. If you're placement is in London, your travel costs will be paid for by the company. Outside of London, you may incur associated travel costs.