Quantitative Methods
Module Code: ECU44151/ECU44153
Module Name: Quantitative Methods
- ECTS weighting: 10/5
- Semester/term taught: Semester 1
- Contact Hours: 22 hours of lectures and 4 hours of tutorials
- Module Personnel: Lecturer – Professor Paul Scanlon
*Please note that the assessment details for modules are provisional at the moment. These will be updated to reflect assessment patterns for 2021/22 shortly
Module Learning Aims
This module is designed to provide students with a theoretical and applied toolbox of econometric techniques frequently used in applied microeconomics research.
Learning Outcomes
Upon successful completion of the ECU44051 (10 ECTS) module, students will be able to: Derive and understand properties of different econometric models; Decide which approach is appropriate for a particular type of data and research question; Estimate econometric models using STATA; Correctly interpret the results; Replicate papers using the econometrics models discussed. Upon successful completion of the ECU44053 (5 ECTS) module, students will be able to: Derive and understand properties of different econometric models; Decide which approach is appropriate for a particular type of data and research question; Estimate econometric models using STATA; Correctly interpret the results.
Module Content
- Differential and difference equations
- Dynamic optimization
- Stochastic calculus
Recommended Reading List
- Chiang, A.C. and Wainwright, K. (2005), Fundamental Methods of Mathematical Economics (4th ed.), McGraw-Hill
- Hoy, Michael et al., Mathematics for Economics, 3rd ed., MIT Press.
Module Pre Requisite
JS Econometrics A/B
Assessment Details
(10 ECTS): There will be a term test accounting for 50% of the overall grade and group assignment (presentation plus replication exercise) accounting for 50% of the overall grade. (5 ECTS): There will be a term test accounting for 50% of the overall grade and group presentation accounting for 50% of the overall grade.
Module Website
Blackboard