Behavioural finance rejects crucial tenets of mainstream finance such as the Efficient Market Hypothesis (EMH) on the basis that agents are less than fully rational, and that arbitrage fails to eliminate mispricing. Instead it identifies market anomalies or regularities such as holiday effects that are at odds with the EMH. You learn to use ideas from cognitive psychology, such as overconfidence, and aspects of imperfect arbitrage to explain these.

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.

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.

This module provides an advanced introduction to cognitive psychology, linking the economics and psychology perspectives on cognition and perception. Material covered will include visual and auditory perception, and visual cognition, which are major areas of cognitive psychology, as defined by the British Psychological Society.

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.

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 issues regarding different types of panel datasets? Or problems with survey methodology? Understand longitudinal data analysis by using micro-econometric techniques and critically examine survey methodology issues, like response rate and sampling frames. Apply panel data methods to study labour markets, focusing on marriage, unemployment and wages.