Applied Econometrics and Time Series Theory
Code  Completion  Credits  Range  Language 

18AEK  Z,ZK  4  2+2  Czech 
 Lecturer:
 Jana Sekničková
 Tutor:
 Jana Sekničková
 Supervisor:
 Department of Software Engineering
 Synopsis:

The lectures consist of comments on econometric methods with emphasis on sets of simultaneous linear equations econometric models, time series and vector autoregressive models in economic diagnostics, analysis and forecasting and optimization of economic policy. Case studies and illustrative examples are solved during the practice lessons.
 Requirements:

The course assumes knowledge of mathematical statistics and econometric bases.
 Syllabus of lectures:

1.Some problems of linear regression model  dummy variables technique, misspecification and observation errors.
2.Some extensions of the classical linear model  generalized least squares method, heteroskedastic errors, an autocorrelated error model, multicollinearity.
3.Simultaneous equation econometric models, structural, reduced and final form of equation system, interdependent and recursive systems, the problem of identification, rules for identification, the order and rank condition of identifiability.
4.Estimation of simultaneous equation econometric models, the method of twostage least squares (2SLS).
5.The estimation of reduced form of equation system coefficients.
6.The neoclassical production function, estimating of the static and dynamic CobbDouglas production function.
7.Time series decomposition
8.Time series  stationarity, autocorrelation function, partial autocorrelation function, white noise.
9.Stationary time series  AR, MA, ARMA models.
10.Unstationary time series  ARIMA models.
11.Seasonal time series  SARIMA models, estimation of models, prediction, cointegration tests.
 Syllabus of tutorials:

1. Models of production functions
2. Models of consumption
3. Solution of selected econometric problems
4. Tests of model's assumptions
5. Phases of ecnometric analysis
6. Econometric project
7.Solution of econometric project
8. Time series decomposition
9. Models of time series
10. Tests of model's assumptions
11. Time series project
12. Solution of time series project
 Study Objective:

Upon successful completion of this course students will be able to apply statistic and econometric theory to solution of real economic problems. Also they will know how to use statistic and econometric software for modeling of economic indices behavior.
 Study materials:

Key references:
Fomby, T.B., and Hill, R.C., and Johnson, S.R: Advanced Econometric Methods. New York: SpringerVerlag, 1984
Green, W.H.: Econometric Analysis, 5th edition, Prentice Hall, 2002
Recommended references:
Griliches, Z., and Intriligator, M.: Handbook of Econometrics. Vol. 13. Amsterdam, Holland; New York, NY: NorthHolland, 1983
 Note:
 Timetable for winter semester 2020/2021:
 Timetable is not available yet
 Timetable for summer semester 2020/2021:
 Timetable is not available yet
 The course is a part of the following study plans:

 Aplikované matematickostochastické metody (elective course)
 Aplikace softwarového inženýrství (compulsory course of the specialization)