Wish to conduct your own research using econometric methods? Understand econometric methods and learn to apply them to a wide variety of situations. Examine methods of linear regression and hypothesis testing. Study time series concepts of unit roots and co-integration. Explore ideas around model selection and panel data models.

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.

What are the main issues facing the modern macroeconomist? How do you critically assess macroeconomic policies? Acquire the necessary tools for macroeconomic analysis, focusing on the important questions faced by macroeconomists today.

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.

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.