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Course units

Course unit - Applied Economics ** FOR BECONSC ECONOMICS ONLY

Code : ECON10162
Credit rating: 10
Semester : 2

Links in this page :
Aims | Objectives | Assessment | Information * | Course unit content |
Course unit materials | Tutors | Timetable | Teaching methods | Keywords


Aims

The aim of this module is to introduce students to the tools and techniques used in economics as a practical discipline. The course will provide an introduction to the ways in which economists use statistics and econometrics to test and interpret economic theories. The aim is to allow students to perform economic analysis using real-world data and standard statistical packages. This will help prepare students for more advanced courses in econometrics and applied economics.

Objectives (learning outcomes)

Students will learn how to:
(1) develop empirically testable hypotheses from economic theory,
(2) manipulate data in order to test interesting economic hypotheses,
(3) apply basic econometric methods to data,
(4) interpret empirical results derived from applying econometric methods to data,
(5) understand some of the limitations and potential pitfalls of empirical work in economics.
Students will have experience of using standard statistical computer packages as a research tool. They will have experience of report writing using appropriate information technology.

Assessment


For information about feedback please follow this link:
http://www.campus.manchester.ac.uk/tlso/map/teachinglearningassessment/assessment/sectionb-thepracticeofassessment/policyonfeedbacktostudents/

60% final examination, 10% mid-term exam and 30% project.

Information *


Length of course: 12 weeks

AVAILABLE TO BEconSc STUDENTS ONLY

Course unit content

The course will cover the structure of data, basic statistical methods, Ordinary Least Squares, hypothesis testing, difference-in-differences and other relevant statistical methods. A strong emphasis will be placed on the theoretical foundations of applied work and the interpretation that can be given to estimated coefficients.
The use of statistical and econometric methods will be illustrated using five important economic applications: estimating the returns to education, labour supply decisions, household spending patterns, consumption and savings and firm productivity and investment.

Reading List
Wooldridge J., Introductory Econometrics, Thomson Learning
(This textbook is also required for Econometrics courses ECON20110, ECON30341 and ECON30370)
Borjas, Labor Economics, McGraw-Hill
(This textbook is also required for ECON32012)
Varian, H (2010) Intermediate Microeconomics, Norton
(This textbook is also required in your second year Microeconomics IIA ECON20351)
Other topical reading material that are relevant to the applications we consider will be provided via the website during the course.

Course unit materials

Tutor(s)

Backus, Peter

Timetable

Lectures: Thursday12-1 & Wednesday 9-10.
Tutorials: Please see intranet timetable:
http://www.socialsciences.manchester.ac.uk/intranet/ug/useful

Teaching methods

Lectures
Practical classes
Tutorials

Preliminary reading

Course Outline - see Blackboard page

Keywords

economic modelling
economic data
statistical software

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