Advanced Econometrics 2 (ECOM-R315)

August 12, 2019

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Method of completion: remote teaching

Schedule:

  • Courses page (you can view the information on this site without logging in or registering, but some of the content added by teachers to course pages may be available to course participants only, for example Moodle course enrolment key) and/or
  • Sisu page

 

Study material:

  • Can be found in the Moodle learning platform
  • A link and a Moodle course key will be sent by email before the course starts and/or they will be provided on the Courses page, see above
  • Log in with your UH username to be able to use all the features of the course workspace

 

Enrollment:

  • In UH’s Sisu with your UH username
  • To be able to register for the course in Sisu, please note that
    • You must have a valid right to study at the course host university
    • You have created your primary personal study plan (HOPS) based on your study right
    • You have added the course for which you are registering to your HOPS
    • More information can be found on the webpage How to enroll in the courses?

 

Content:

This course moves beyond the standard linear regression model and conventional least squares estimation. Important econometric estimation principles, such as generalized method of moments and maximum likelihood estimation, are covered and the related statistical inference procedures discussed. Basic concepts of simulation-based methods are also introduced. Specifically, the topics covered in the course include

  • Generalized method of moments estimation (basic concepts, asymptotic estimation theory, statistical inference)
  • Maximum likelihood estimation (basic concepts, asymptotic estimation theory, statistical inference)
  • Simulation methods (Monte Carlo simulations, Bootstrap)