EC220 Introduction To Econometrics Notes | Assignment Help | Syllabus

Country: United Kingdom

University: The London School Of Economics And Political Science

Link to course

This course is offered as part of the BSc in Accounting and Finance, BSc in Economics, BSc in Economics and Economic History, BSc in Economics with Economic History, BSc in Finance, BSc in Geography with Economics, BSc in Government and Economics, BSc in International Social and Public Policy and Economics, BSc in Philosophy and Economics, BSc in Philosophy, Politics and Economics, BSc in Politics and Economics, BSc in Philosophy, Politics and Economics (2 Year Programme). Students enrolled in other programs, as well as General Course students, may take this course as an outside option with permission.

The availability of General Course students is contingent on the lecturer’s consent.


Students must have completed Statistical Theory for Beginners (ST102).

Those who have completed MA107/ST107 should only consider taking EC220 if they received a 65 or above on both courses.

Content of the course

This course serves as an introduction to econometrics, with the goal of presenting the theory and practice of economic empirical research. In contrast to EC221, this course uses calculus instead of matrix algebra and closely follows Wooldridge.

In MT, the emphasis is on empirical issues, and students will analyze real data sets using the econometrics software programs R or Stata. Students will learn how to utilize a variety of techniques to address causal “what-if” questions and prediction problems (e.g., “What is the impact of monetary policy on output?”).

The emphasis in LT is on the fundamentals of econometric theory, including estimation, estimator characteristics (unbiasedness, standard error formula, sample distribution, consistency), and hypothesis testing.

Randomized experiments, program evaluation, matching, simple and multiple regression analysis, omitted variable bias, functional form, heteroskedasticity and weighted least squares, endogeneity (omitted variables and simultaneity), instrumental variables and two-stage least squares, binary choice models, and time series analysis are just a few of the topics covered.


In the MT, there are 30 hours of lectures and 10 hours of classes. In the LT, there are 30 hours of lectures and 9 hours of classes.

This course is given throughout the period of Michaelmas and Lent Term in a mix of courses and lectures totaling at least 80 hours. This year, a mix of virtual classrooms, live streaming (recorded) lectures, and some flipped material provided as short online videos will be used to offer part or all of this instruction.

Only in Week 6 of LT will there be a reading week (no lectures or classes that week).

EC220.B is a graduate-level course.

Coursework that is intended to be formative

Each week, exercises are given and discussed in class. (MT) Students must submit written responses to the activities in order to get feedback. (LT) Students will get official feedback on four times after attempting the weekly problem sets before each session.

Readings that are suggestive

Introduction to Econometrics by J. W. Wooldridge. South-A Western’s Modern Approach, 6th Edition.

Mastering ‘Metrics’ by J. D. Angrist and J. S. Pischke Princeton University Press, The Path from Cause to Effect.

Additional resources will be accessible on the Moodle website for EC220.


In the January exam period, there is a 25% test (duration: 1 hour, reading time: 15 minutes).

In the summer test period, there is a 75 percent exam (duration: 3 hours, reading time: 15 minutes).

The Michaelmas term test is based entirely on the Michaelmas term curriculum, whereas the Summer term exam is based on 33% of the Michaelmas term syllabus and 67% of the Lent quarter material.


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