EC116-4-FY-CO:
Applied Economics and Policy

The details
2019/20
Economics
Colchester Campus
Full Year
Undergraduate: Level 4
Current
Thursday 03 October 2019
Friday 26 June 2020
30
23 September 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

(none)

Module description

This module is about the analysis of data within economics, and the interpretation of empirical results.

Module aims

More specifically the module aims 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

Upon completion of this module, students will be able to apply basic data analysis to address economic issues. In particular, each student will be aware of the main sources of economic data; how to construct and interpret graphs of the data; how to construct summary statistics and how to interpret statistical regressions in relation to economic issues. Their ability to read, understand and properly manipulate data will be strongly enhanced, especially from an empirical point of view. Students are introduced to the knowledge of widely used computational packages and plenty of examples from real datasets.

Module information

No additional information available.

Learning and teaching methods

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.

Bibliography

  • Griffiths, Alan; Wall, Stuart. (2012) Applied economics, Harlow: Pearson Education limited.
  • Angrist, Joshua David; Pischke, Jörn-Steffen. (c2009) Mostly harmless econometrics: an empiricist's companion, Princeton: Princeton University Press.
  • Hoover, Kevin D. (2012) Applied intermediate macroeconomics, Cambridge: Cambridge University Press.
  • Asteriou, Dimitrios; Hall, S. G. (2016) Applied econometrics, New York, NY: Palgrave Macmillan.
  • Gertler, Paul; Martínez Wilde, Sebastián; Premand, Patrick; Rawlings, Laura; Vermeersch, Christel; World Bank Group; Inter-American Development Bank. (2016) Impact evaluation in practice, Washington, DC: IDB, Inter-American Development Bank.
  • Epstein, Lee; Martin, Andrew D. (2014) An introduction to empirical legal research, Oxford, United Kingdom: Oxford University Press.
  • Lind, Douglas; Marchal, William; Wathen, Samuel. (2018) Basic Statistics for Business and Economics, OH: McGraw-Hill Education.

The above list is indicative of the essential reading for the course. The library makes provision for all reading list items, with digital provision where possible, and these resources are shared between students. Further reading can be obtained from this module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework Autumn Term Assignment 03/12/2019 50%
Coursework Spring Term Assignment 06/03/2020 50%
Exam 180 minutes during Summer (Main Period) (Main)

Overall assessment

Coursework Exam
50% 50%

Reassessment

Coursework Exam
50% 50%
Module supervisor and teaching staff
Lectures: Lingqing Jiang (Autumn) & Dr Elif Kubilay (Spring) / Laboratory: various teachers
Send an email to: ueco@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

Dr Fabio Riccardo Arico
The University of East Anglia
Senior Lecturer
Resources
Available via Moodle
Of 147 hours, 38 (25.9%) hours available to students:
109 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Economics

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