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Statistical Methods in Economics (ECON0005)

Key information

Faculty
Faculty of Social and Historical Sciences
Teaching department
Economics
Credit value
15
Restrictions
Compulsory for 1st year single-honours Economics (L100, L101 and L102) students. Optional for Economics and Geography (LL17), Philosophy and Economics (VL51) and BA European Social and Political Studies (R990) students (compulsory if taking the Economics Specialisation route). ECON0002 must be taken concurrently. Not open to Affiliate students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Compulsory for 1st year single-honours Economics (L100, L101 and L102) students. Optional for Economics and Geography (LL17), Philosophy and Economics (VL51) and BA European Social and Political Studies (R990) students (compulsory if taking the Economics Specialisation route).

The module will cover the following topics through lectures and tutorials:

1. Probability Basics

2. Random Variables, Expectations

3. Discrete/Continuous Distributions

4. Law of Large Numbers, Central Limit Theorem

5. Statistics Basics

6. Point/Interval Estimation

7. Hypothesis Testing

8. The Linear Regression Model

In addition, students will be introduced to the Statistics software package STATA and learn its basic features and commands.

Suitable for: Compulsory for 1st year single-honours Economics (L100, L101 and L102) students. Optional for Economics and Geography (LL17), Philosophy and Economics (VL51) and BA European Social and Political Studies (R990) students (compulsory if taking the Economics Specialisation route).

Prerequisites: ECON0002 must be taken concurrently.

Assumed knowledge: Calculus at the high-school level.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 4)

Teaching and assessment

Mode of study
In Person
Methods of assessment
70% Fixed-time remote activity
30% In-class activity
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
321
Module leader
Professor Michela Tincani
Who to contact for more information
economics.ug@ucl.ac.uk

Last updated

This module description was last updated on 19th August 2024.

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