Highlights
Tuition fee
4450 GBP / full
4450 GBP / full
Unknown
Tuition fee
4450 GBP / full
4450 GBP / full
Unknown
Duration
19 days
Duration
19 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Campus location
London, United Kingdom
Campus location
London, United Kingdom
Taught in
English
Taught in
English

About

The problem, for those concerned with social or economic policy, is that we seldom have the luxury of being able to undertake controlled experiments of the type conducted by natural scientists. London School of Economics and Political Science offers the Introduction to Econometrics programme.

Overview

Key facts

The objective of this course is to provide the basic knowledge of econometrics that is essential equipment for any serious economist or social scientist. The course introduces statistical tools including regression analysis and its application using cross-sectional data.

The second week onwards will be focused on how various technical problems inherent in economic analysis, including heteroskedasticity, autocorrelation, and endogeneity should be handled. This section of the course will pay special attention to the application of the regression model to time-series data - both stationary and non-stationary.Using the theories and their application in economics, you will participate in daily workshops to get hands-on experience implementing the various estimators and testing procedures in Stata using real-world data. As a result, you will consider how the theory can be applied to a wide range of questions of economic interest (For example, modelling long-term relationships between prices and exchange rates).By the end of London School of Economics and Political Science's Introduction to Econometrics course, you will be able to provide proof of the unbiasedness or biasedness and consistency or inconsistency of least squares, and instrumental variable estimators using simple models.

Programme Structure

Courses include:

  • Simple regression analysis
  • Properties of regression coefficients and hypothesis testing
  • Multiple regression analysis
  • Transformation of variables
  • Specification of regression variables
  • Heteroscedasticity
  • Stochastic regressors and measurement errors

Key information

Duration

  • Full-time
    • 19 days

Start dates & application deadlines

Language

English

Credits

7 ECTS
  • 3-4 credits (US) 
  • 7.5 ECTS points (EU)

Delivered

On Campus

Campus Location

  • London, United Kingdom

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

This course attracts a diverse range of participants including professionals who have found that the acquisition of econometric skills would be valuable in their work; PhD students, typically in disciplines other than economics, who are including a serious empirical component in their dissertations; and undergraduate students who want to challenge themselves by taking on this highly ambitious course.If you are interested in developing a practical and sound grounding in the use of econometrics in economics and the social sciences, you should consider taking this course. It is especially useful if you are targeting a role in economic research, government, data science, policy development or consulting.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    4450 GBP / full
    4450 GBP / full
  • Domestic

    Citizens or residents
    4450 GBP / full
    4450 GBP / full

Additional Details

Standard rate

  • One Session: £4,450
  • Two sessions: £7,800
  • Three sessions: £9,600
Student rate
  • One Session: £3,350
  • Two sessions: £5,550
  • Three sessions:£6,450

Living costs

London

United Kingdom
1137 - 2157 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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