University of Galway

Course Module Information

Course Modules

Semester 2 | Credits: 5

This module provides an understanding of data analytics using primarily statistical inference methods for the social sciences. The methods are used to evaluate public policy instruments in relation to Economic and Social dimensions. The module builds upon a number of practical case studies using both OECD and Developing Country Data: • Regression Modelling and Inequality Decomposition • Discrete Choice & Behavioural Modelling • Panel Data Models and Pension Reform Each case study is examined under the following headings: • Policy Context • Data Issues • Measurement Issues • Validation and Quality Assurance • Evaluation and Simulation The core methodology is microsimulation or the simulation of public policy on micro units such as individuals or families. Students will gain a good understanding of R for both estimation and simulation A special focus will be placed on developing professional and practice skills. The module draws upon significant professional experience by the module leader, drawing upon a book of the module published by Oxford University Press.
(Language of instruction: English)

Learning Outcomes
  1. Demonstrate a basic understanding of Introduction to Mmicrosimulation Mmodelling and understand its uses
  2. Execute (or perform or conduct??) regression modelling and understand sources used to inform inequality decomposition (earnings, income…)
  3. Explain discrete choice & behavioural modelling in terms of predicting choices
  4. Understand approaches and tools in relation to Panel Data Models and Pension Reform
  5. Develop written and oral communication skills
  6. Effectively and appropriately use information technology for information analysis and presentation
Assessments
  • Continuous Assessment (100%)
Teachers
Reading List
  1. "Practical Microsimulation Modelling" by Cathal O'Donoghue
    ISBN: 9780198852872.
    Publisher: Oxford University Press
The above information outlines module DEV6103: "Data Analytics for Social Sciences II" and is valid from 2022 onwards.
Note: Module offerings and details may be subject to change.