Microeconometrics
Module Code: ECP77421
- ECTS Credit: 10
- Mandatory/Optional: Mandatory
- Semester/Term Taught: Michaelmas Term
- Module Coordinator: Professor Cian O'Shea
Aims of Module
This module provides students with an introduction to the theory and practice of modern econometrics, with the primary focus on answering economic questions through data. The module will start by building on the introduction to statistics and regression analysis module by discussing the classical linear regression models and guiding students through the fundamentals of modern econometrics. The module will conclude with more advanced topics, such as experimental and quasi-experimental methods in economics.
Learning Outcomes
On completion of the module, students will be able to:- Understand the fundamental methods of econometrics analysis
- Construct, estimate, and test econometric models
- Apply these techniques to available datasets.
- Formulate relevant research questions and present a research plan.
- Use statistical software to estimate econometric models.
Module Content
Topics covered in this module will include:
- Simple Linear Regression
- Regression Models with Multiple Regressors
- Nonlinear Regression Functions
- Regression with Panel Data
- Regression with Binary Dependent Variable
- Instrumental Variable Regression
Recommended Reading List
Primary Texts
- J.M. Wooldridge, Introductory Econometrics: A Modern Approach, 7/e, Cengage, 2020
- Stock, J.H. and M.W. Watson. Introduction to Econometrics, Pearson (4e), 2019.
Secondary Reading
- Angrist, J.D. and Pischke, J. Mastering Metrics, Princeton University Press, 2015
- Huntington-Klein, N. The Effect, The Effect: An Introduction to Research Design and Causality, Routledge, 2021
Module Pre-Requisite
ECP77403: Introduction to Statistics and Regression Analysis
Assessment
The module will be assessed through a mixture of continuously assessed coursework and the final project.
Module Website
Blackboard