Most widely held works by Jan Bogusław Gajda. Ekonometria praktyczna by Jan Bogusław Gajda(Book) 4 editions published between and in Polish. Jan gajda malgorzata grocholinska michal kasiel natalia lobejko karina lysakowska oliwier malinowski sandra papis natalia piekarska bartosz rutkowski jan. Course coordinators. Jan Gajda Gajda J., Prognozowanie i symulacje a decyzje gospodarcze, wyd. C. H. Beck, Warszawa Ekonometria. Prognozowanie.
|Published (Last):||28 June 2017|
|PDF File Size:||19.92 Mb|
|ePub File Size:||8.29 Mb|
|Price:||Free* [*Free Regsitration Required]|
Stationary and non stationary time series. Neural networks in forecasting.
Fundamentals of Econometrics – University of Łódź
Structural and non-structural models. Ability of analysing input-output models. Almon, The Craft of Economic Modeling. The choice of the smoothing parameters. Time series decomposition seasonality, trend, error. Generalized least squares method. Building a worksheet-based simple simulation. Skills of building and estimating econometric models and using them in practice. Students will gain an overview of the concepts and practicalities of simulation and forecasts.
Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: There will be also theoretical written exam. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.
Time series forecasting models. Verification of the econometric model, economic interpretation of the estimation results.
On-line services of the University of Warsaw You are not logged in log in. Ekonomstria factors and objectives 2. Faculty of Economics and Sociology.
Metody i ich zastosowanie, Eekonometria, Warszawa Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method. You are not logged in log in.
Gajda, Jan Bogusław
Moving average forecasting method. Factors of material consumption, labor jn and their interpretation. Descriptive econometric models – general characteristics and examples of applications.
Definition of forecasts and simulation.
Showing them examples of practical use of econometric methods. Stages of econometric analysis. You are not logged in log in.
Business Forecasting – University of Warsaw
Time series analysis — deterministic and stochastic trends in the time series models. Part Eoknometria by Clopper Almon A. Total for the subject: An analysis of ex post and ex ante forecasting errors. Placet, Warszawa 5.
Classification of econometric models 1. Discrete event simulation — dynamic simulations model changes in man system in response to input signals.
Time series forecasting rules. Sampling from probability distributions — inverse transform method.