Applied Economics and Policy

The details
Colchester Campus
Full Year
Undergraduate: Level 4
Thursday 03 October 2024
Friday 27 June 2025
25 March 2024


Requisites for this module



Key module for


Module description

This module provides an introduction to basic methods and data analysis techniques, emphasizing the interpretation of empirical results within the context of various topics in Economics, including but not limited to inequality, education, and discrimination.

Module aims

The aims of this module are:

  • To provide an introduction to data analysis in economics. How to find and create datasets and how to describe the main features of economic data.

  • To develop an understanding of simple statistical and econometric techniques used in economics that complement the theoretical treatment in Introduction to Quantitative Economics.

  • To provide an introduction on how economic models are tested using data and how to interpret results both statistically and economically.

  • To provide an introduction to policy evaluations in economics.

Module learning outcomes

By the end of this module, students will be expected to be able to:

  1. Apply basic data analysis to address economic issues.

  2. Be aware of the main sources of economic data.

  3. Construct and interpret graphs of the data.

  4. Construct summary statistics and how to interpret statistical regressions in relation to economic issues.

  5. Be able to read, understand and properly manipulate data, especially from an empirical point of view. 

  6. Have knowledge of widely used computational packages such as R-Studio and plenty of examples from real datasets.

Module information

Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance. For modules including a term paper, the term paper will be returned with individualised feedback that addresses what the marking criteria are and how you could improve your own work.

Learning and teaching methods

The module will be delivered via:

  • Two lectures per week
  • One lab class per week
  • Support classes

During lectures, the content will be delivered through slides, which will be supplemented with newspaper articles, and academic papers from economics journals. Lab classes will centre around data analysis using Excel and R-Studio, with a focus on applying econometric methods to real datasets. Solutions to these exercises will be released after the lab sessions.


This module does not appear to have a published bibliography for this year.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Assignment 01    50% 
Coursework   Assignment 02    50% 
Exam  Main exam: In-Person, Open Book, 180 minutes during Summer (Main Period) 
Exam  Reassessment Main exam: In-Person, Open Book, 180 minutes during September (Reassessment Period) 

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
50% 50%


Coursework Exam
50% 50%
Module supervisor and teaching staff
Dr Elif Kubilay, email:
Dr Michele Rosenberg, email:
Lectures: Dr Michele Rosenberg (Autumn) & Dr Elif Kubilay (Spring) / Laboratory: various teachers
Send an email to:



External examiner

Dr Georgios Chrysanthou
University of Dundee
Lecturer in Economics (Teaching and Research)
Available via Moodle
Of 9 hours, 7 (77.8%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.


Further information

* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.

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