This unit of study surveys contemporary research in labour economics. The field of labour economics is very broad, dealing with fundamental issues ranging from resource allocation to distributional equity and social welfare. The subject matter covers the determinants of wages, employment and unemployment; insurance and incentive mechanisms; and the behavioural effects and welfare impacts of institutions and public policies. In this unit students will have the opportunity to analyse theoretical models and their empirical applications.

This unit of study is designed to train students in current theoretical and empirical developments in the field of development economics. Specific topics change from time to time as development economics can cover most fields of economics with a particular application to developing countries. Examples of topics include: development finance; firms in emerging markets; poverty traps and social interactions; and history and institutions in the context of economic development.

This unit concentrates on mainstream models and estimation and inference methods that are widely used in most empirical investigations in applied microeconomics. The unit has a topics-based structure, and theory and applications are closely integrated. Examples of topics include parametric and semi-parametric estimation methods applied to cross-section and panel data; treatment evaluation; models of cross-sectional dependence; quantile and mixture regressions; density estimation; Bayesian regression analysis.

The unit is designed to provide an understanding of selected topics of current academic research in the area of advanced empirical macroeconomics. The course develops tools and reviews basic models of business cycles and monetary policy. The unit then applies these tools and models to actual macroeconomic data to enhance understanding of the workings of these models, with an emphasis on their merits and shortcomings.

Research in economics, finance, marketing and accounting has been enriched by increased availability of panel data. A 'panel' refers to the pooling of observations on a cross section of households, countries, firms or individuals over several time periods, offering major advantages over conventional cross-sectional or time series data sets. This unit teaches students a comprehensive set of tools for the analysis of panel data, enabling students to both critically assess and contribute to applied economic research.

Study of an advanced topic in Econometrics. Topic may vary from semester to semester according to staff availability and the presence of visitors. Examples of topics include: Bayesian Econometrics; Nonparametric and Semiparametric Econometrics; Econometrics for Big Data; Spatial Econometrics; and Financial Econometrics. This unit of study will develop advanced econometric techniques to equip students to undertake postgraduate studies in economics.

Study of an advanced topic in Econometrics. Topic may vary from semester to semester according to staff availability and the presence of visitors. Examples of topics include: Bayesian Econometrics; Nonparametric and Semiparametric Econometrics; Econometrics for Big Data; Spatial Econometrics; and Financial Econometrics. This unit of study will develop advanced econometric techniques to equip students to undertake postgraduate studies in economics.

In this unit you begin a substantial, independent research project in Econometrics. Regular meetings with a supervisor approved by the Economics Honours Coordinator will guide your progress. You will develop a plan for researching and writing the thesis, submit an ethics application if appropriate, familiarize yourself with disciplinary conventions and standards, engage with relevant literature, theories and methodologies, and submit drafts at agreed times..

In this unit students will complete a research project appropriate for a 15,000 word Econometrics Honours thesis. Each student will match with a research supervisor from the Economics who will give them feedback on their independent research.