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Materials for the Advanced Econometric 1 - courses 4EK608 and 4EK416

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Advanced Econometrics 1 (4EK608)

Pokročilá ekonometrie 1 (4EK416)


Course(s) held by:
Tomas Formanek
Department of Econometrics
Faculty of Informatics and Statistics
University of Economics, Prague


Requirements and classification


Block 1: Estimators and predictions

  • Repetition from BSc courses
  • LRM estimators & non-linear extensions
  • Predictions from regression models

Materials for Block 1

Reading, self-study, and supplementary materials

  • Wooldridge, J.: Introductory econometrics, 6th ed.: Chapters 1-5, Appendices C-1 to C-4. (basic topics)
  • Greene, W.: Econometric analysis, 7th ed., 8th ed. : Part III Estimation Methodology (text covers numerous advanced topics, many are outside the syllabus of our coursse).
  • An Introduction to Statistical Learning, chapter 5 of the textbook

Block 2: Regression models based on time series

  • Stationarity, cointegration
  • Error correction model (ECM)
  • Distributed lag models, PAM, AEH

Materials for Block 2

Reading, self-study, and supplementary materials

  • Wooldridge, J.: Introductory econometrics, 6th ed.: Part 2: Regression Analysis with Time Series Data, ch.10-ch.12. (basic topics)
  • Wooldridge, J.: Introductory econometrics, 6th ed.: chapter 18.
  • Zivot, E., Wang, J.: Modelling Financial Time Series with S-PLUS, 2nd ed.: chapters 3,4,6 and 12.

Block 3: Panel data models

  • Panel data
  • Short panels: estimators & testing
  • Long panels: SURE
  • Introduction to large panels & corresponding estimators

Materials for Block 3

Reading, self-study, and supplementary materials

  • Wooldridge, J.: Introductory econometrics, 6th ed.: Part 3, ch.13 and ch.14. (basic topics)
  • Greene, W.: Econometric analysis, 7th ed., 8th ed. : ch. 11 - Models for panel data
  • PhD-level course on panel data from NYU

Block 4: Instrumental variable regression and simultaneous equation models

  • Instrumental variables, IVR
  • Identification
  • Simultaneous equation models (SEMs)

Materials for Block 4

Reading, self-study, and supplementary materials

  • Wooldridge, J.: Introductory econometrics, 6th ed.: Part 3, ch.15 and ch.16. (basic topics)
  • Greene, W.: Econometric analysis, 7th ed., 8th ed. : ch. 8 - Endogeneity and Instrumental Variable Estimation
  • Greene, W.: Econometric analysis, 7th ed., 8th ed. : ch. 10 - Systems of Equations

Block 5: Vector autoregression (VAR) models

  • VAR models
  • Impulse-response functions (IRFs)
  • Vector error correction models (VECMs)

Materials for Block 5

Reading, self-study, and supplementary materials

  • Zivot, E., & Wang, J. Modelling Financial Time Series with S-PLUS, ch. 11 - VAR models for multivariate time series
  • Zivot, E., & Wang, J. Modelling Financial Time Series with S-PLUS, ch. 12 - Cointegration

Block 6: Limited dependent variables (LDVs) - repetition from BSc. courses

Not in the syllabus of 4EK416 / 4EK608 course (topic moved to BSc. courses)
Material intended for self-study and preparation for state exams

  • Binary dependent variables
  • Count dependent variables
  • Multinomial dependent variables (unordered, ordered)
  • Other types of LDVs (corner solution, censored, truncated data)

Materials for Block 6

Reading, self-study, and supplementary materials

  • Wooldridge, J.: Introductory econometrics, 6th ed.: Part 3, ch.17. (basic topics)

Please note that lectures (pdf presentations) and seminar workfiles (R scripts) can be updated without prior notice:

  • clarifications, small edits and error corrections are made often,
  • as R packages are updated, syntax of various command and functions can change.

Support materials & R help

  • Install R/Rstudio at home: R / RStudio
  • Setup a convenient R working directory - eg. RWD folder on your desktop. Instructions
  • For help, you can use stackoverflow - note the [r] in question box.

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