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Econometrics

Key information

  • Module code:

    6YYD0017

  • Level:

    6

  • Semester:

      Autumn

  • Credit value:

    15

Module description

This module considers modern econometric techniques for modelling microeconomic data. It aims to present the theory and practice of empirical research in economics. Topics covered in this module include model specification, dummy variables, panel data analysis, models with binary dependent variables and both stationary and non-stationary time series analysis. Each topic will start with the underlying econometric theory, estimation and hypothesis testing, and we will then have a workshop which includes the tutorials and lab sessions. The focus of the course is to help students to understand the econometric theories and encourage students to apply the theories to empirical questions. Students will study to use the Stata software to analyse real datasets.

Background requirement is the equivalent of one undergraduate module in quantitative methods or statistics. 

Assessment details

Coursework

 

Educational aims & objectives

Educational aims:

The module considers modern econometric techniques for modelling microeconomic data. It aims to present the theory and practice of empirical research in economics. Topics covered in this module include multiple regression analysis, models with qualitative variables, panel data analysis, time series analysis etc. Each topic will start with the underlying econometric theory, estimation and hypothesis testing, and we will then have a workshop which includes the tutorials and lab sessions. Students will study to use the Stata software to analyse real datasets. The focus of the course is to help students to understand the econometric models and then be able to choose the most appropriate models for their own research.

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Learning outcomes

Learning Outcomes:

On completing this module, the learning outcomes are such that students will be able to:

  • to illustrate the use of econometrics in estimating economic models.
  • to introduce a range of micro-econometric techniques, and indicate criteria by which one might judge the appropriateness of each method.
  • to provide instructions in the practical application of these micro-econometric methods.
  • to provide skills which usefully transfer to students' own research agendas.

Teaching pattern

Weekly lecture and seminars