Queen Mary University of London

Topics in Applied Econometrics

This course is part of Econometrics for Economists and Finance Practitioners Specialization

Taught in English

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Dr Leone Leonida

Instructor: Dr Leone Leonida

2,240 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

27 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Management of issues raised by identification

  • How to select the appropriate model according to the type of data

  • Interpretation of the different models

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Assessments

20 quizzes

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

27 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Econometrics for Economists and Finance Practitioners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

This module presents models and approaches that are designed to deal with challenges raised by the regressors being random variables. We address the problems raising when regressors are correlated with the error term, ad when this problem is likely to raise. We look at modelling simultaneous equations and discuss causality in economics, with an application to returns to schooling. We will discuss the problem of identification of the parameters, and how to address this problem. We finally estimate a model for the demand and supply of fish.

What's included

5 videos4 readings6 quizzes3 discussion prompts2 ungraded labs

We describe the problems as raising when repeated observations are present in the sample, and it is possible to deal with unobserved heterogeneity in the sample. We analyse key features of panel data and highlight the advantages of working with panels of data instead of other structures of data. We analyse fixed effects models and estimators associated with this approach. A full example where the neoclassical growth model is estimated is presented and discussed using the PWT tables data. We see how to choose between fixed effects models and pooled models by introducing the test for poolability.

What's included

4 videos3 readings5 quizzes3 discussion prompts3 ungraded labs

This week we study random effects on models of panel data. We analyse the Hausman test, that helps study whether we should be adopting the fixed effects models of the random effects models. The two approaches are compared using the Solow growth model. We also analyse the role of time in panel data models by presenting the between estimator, the two ways estimators, where we have time effects, and we finally look at dynamic panel data models, where the lagged dependent variable enters the set of regressors.

What's included

4 videos4 readings5 quizzes4 discussion prompts3 ungraded labs

We discuss models for probability, that are used where the variable under investigation is qualitative, and needs to be treated with a different approach. We analyse the difficulties raised by linear models when the dependent variable is binomial. We study logit and probit estimators. We apply probability models to the problem of building an Early Warning system to forecast systemic banking crises using data from the World Bank.

What's included

4 videos7 readings4 quizzes1 peer review3 discussion prompts4 ungraded labs

Instructor

Dr Leone Leonida
Queen Mary University of London
4 Courses7,235 learners

Offered by

Recommended if you're interested in Economics

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