Save for later
Topics in Applied Econometrics
Econometrics for Economists and Finance Practitioners,
In this course, you will discover models and approaches that are designed to deal with challenges raised by the empirical econometric modelling and particular types of data. You will: – Explore the motivations of each approach by means of graphs, preliminary statistics and presentation of economic theories – Discuss the problem of identification of the parameters, and how to address this problem by modelling simultaneous equations and causality in economics. – Examine the key features of panel data, and highlight the advantages and disadvantages of working with panel data rather than other structures of data. – Learn how to choose what econometric specification to adopt by introducing the test for poolability and the Hausman tests. – Discuss models for probability that are used where the variable under investigation is qualitative, and needs to be treated with a different approach. – Learn how to apply this approach to building an Early Warning system to forecast systemic banking crises using data from the World Bank. It is recommended that you have completed and understood the previous two courses in this Specialisation: The Classical Linear Regression Model and Hypothesis Testing in Econometrics. By the end of this course, you will be able to: – Respond appropriately to issues raised by some feature of the data – Resolve address problems raised by identification and causality – Resolve problems raised by simultaneous equation and instrumental variables models – Resolve problems raised by longitudinal data – Resolve problems raised by probability models – Manipulate and plot the different types of data.
Get a Reminder
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 4 hours per week |
Starts | Jul 3 (46 weeks ago) |
Cost | $49 |
From | Queen Mary University of London via Coursera |
Instructor | Dr Leone Leonida |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Social Sciences Business |
Tags | Social Sciences Business Finance Economics |
Get a Reminder
Similar Courses
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Payroll Data $44k
IT Data Entry $45k
patient data coordinator 2 $48k
Junior Data Specialist $52k
CEA Resolve Application Specialist $71k
CEA Resolve Application Specialist $71k
Big Data and AWS Data Lake $73k
Customer Data Architect $88k
Data Analyst - Portfolio Data $93k
Data Integration Engineer| Data Warehouse $116k
Provider Data Coordinator 4 $118k
Data Scientist, IT $156k
Write a review
Your opinion matters. Tell us what you think.
Please login to leave a review
Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 4 hours per week |
Starts | Jul 3 (46 weeks ago) |
Cost | $49 |
From | Queen Mary University of London via Coursera |
Instructor | Dr Leone Leonida |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Social Sciences Business |
Tags | Social Sciences Business Finance Economics |
Similar Courses
Sorted by relevance
Like this course?
Here's what to do next:
- Save this course for later
- Get more details from the course provider
- Enroll in this course