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MSc Economics

Year of entry: 2020

Course unit details:
Cross Section Econometrics

Unit code ECON60052
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Offered by Economics
Available as a free choice unit? Yes

Aims

The aims of this course unit are to:

(i) introduce students to basic modeling techniques in the analysis of cross-section (survey) data;

(ii) develop these techniques to an advanced level;

(iii) provide sufficient background to enable students to read the applied literature in core journals which apply these techniques;

(iv) prepare students for a dissertation topic that analyses cross-section data

 

Learning outcomes

On completion of this unit successful students will be able to:

(i) demonstrate an understanding of some of the problems associated with cross-section data, namely selection bias and causal effects, the consequences of unobserved heterogeneity, and how they might be addressed, namely via instrumental variables estimation, "sample selection" techniques, or using panel data;

(ii) understand and apply some standard techniques when modeling cross section data;

(iii) also understand and apply techniques such as regression discontinuity;

(iv) apply these techniques to real data using the computer package STATA;

(v) interpret STATA output correctly

 

Syllabus

(1) why multiple regression? Revision of the multiple regression model (W ch 2; AP ch 2; W chs 3-7)

(2) matching estimators (AP ch 3.3.1)

(3) inference and standard errors: heteroskedasticity and clustering (W ch8.1-8.3; AP ch 3.1.3, ch 8)

(4) pooling cross sections across time (W, ch13)

(5) advanced panel data methods (W, ch14)

(6) instrumental variables and 2SLS (W ch, ch17.1, AP ch 4)

(7) regression discontinuity designs (AP ch6; Lee&Lemieux RDD Designs in Economics)

(8) sample selection and Heckman’s two-step estimator (W, ch17.5)

 

Teaching and learning methods

Lectures and tutorials

Assessment methods

Method Weight
Written exam 100%

Recommended reading

There is no one course text.  The main texts are:

  • Wooldridge, J.M. (2013) Introductory Econometrics: A Modern Approach, 5th ed., Cengage, (chapters 2,3,6-8,13-17).
  • Angrist, J and Pischke, J-S. Mostly Harmless Econometrics, Princeton University Press (chapters 1-4, 6&7). 

Students may note that the following cover the same or related topics.

  • Cameron, C. and Trivedi, P. Microeconometrics: Methods and Applications, Cambridge.
  • Cameron, C. and Trivedi, P. Microeconometrics using Stata Revised Edition, Stata Press.
  • Verbeek, M. A Guide to Modern Econometrics, John Wiley, fourth ed (chapters 5-10).
  • Angrist, J.D. and Pischke, J.S., 2014. Mastering metrics: The path from cause to effect. Princeton University Press.

 

Study hours

Scheduled activity hours
Lectures 16
Tutorials 7
Independent study hours
Independent study 127

Teaching staff

Staff member Role
James Lincoln Unit coordinator

Additional notes

Timetable

Lectures: Tuesday 3pm-5pm,
Tutorial: Friday 12pm-1pm,

 

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