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Home | Courses | Advanced Econometrics I
Course

Advanced Econometrics I


  • Teacher(s)
    Charles Bos, Nick Koning
  • Research field
    Econometrics
  • Dates
    Period 2 - Oct 26, 2020 to Dec 18, 2020
  • Course type
    Core
  • Program year
    First
  • Credits
    4

Course description

The course is built up around the book of Cameron & Trivedi, with references to the material of Hansen. The first four lectures discuss ordinary least squares and related methods, maximum likelihood, hypothesis and specification testing. They are followed by a discussion of the main micro-econometric models, including models for binary and multinomial outcomes, tobit and selection models, and finally models for duration data. Theoretical exercises are discussed throughout this course. Concepts are illustrated by means of simulations and empirical applications. In class, the Python programming environment is used, though students are free to choose their own.

Prerequisites

Students taking the advanced econometrics I course sequence need to have a thorough background in econometrics (having completed at least a BA in econometrics with grades 7 or up).

Course literature

Primary reading

C. Cameron and P. Trivedi (2005). Microeconometrics: Methods and Applications, Cambridge University Press. B. E. Hansen (2017). Econometrics

Further reading

B. E. Hansen (2019). Econometrics

R. Davidson and J.G. MacKinnon (2004). Econometric Theory and Methods, Oxford University Press