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.

Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:.

Gajda, Jan Bogusław

Non-measurable factors in econometric models. You are not logged in log in. Discrete event simulation — dynamic simulations model changes in a system in response to input signals. Showing them examples of practical use of econometric methods. Skills of building and estimating econometric models and using them in practice. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.

Discrete event simulation — dynamic simulation and simulation of the next event.

Beck, Warszawa, Welfe A. Stages of econometric analysis. Intermediate flows and balance models. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Introduction to optimization with the Excel Solver tool.

Passing exercises based on the project, a written work consisting of a task test and activity in class – participation in solving practical problems classes 15h, current work 15h, preparation for passing 30h – 60h. On-line services of the University of Warsaw You are not logged in log in. Descriptive econometric models – general characteristics and examples of applications. The project requires the theory, described during classes, to be applied to a specific problem in finance or economics.

Wide using of computer programs to built econometric models e. Beck, Warszawa 2. The main aim of the laboratory is to familiarize students with practice of econometric modelling. An example of the seasonality hajda economic phenomena.

Ekonometria: z programem DEMS autorstwa Wojciecha Zatonia – Jan Bogusław Gajda – Google Books

Written report should be submitted. Building a worksheet-based simple simulation. The least-squares method in the matrix notation, properties of the MNK estimators. Time series decomposition seasonality, trend, error. Student is able to: Time series forecasting rules. Almon, The Craft of Economic Modeling. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Forecasting based on an econometric model.

Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. Classification of econometric models 1. Verification of the econometric model, economic interpretation of the estimation results.

Using formulas in Excel — overview. Generating values from a statistical distribution.

Part I by Clopper Almon A. Introduction to discrete event simulation — simple simulation, simulation on the crate. Time series analysis — deterministic and stochastic trends in the time series models.

Ability of analysing input-output models. There will be oral presentation of the ekonometgia made during the last week of classes. Analysis with basic statistic. The choice of the smoothing parameters.

Business Forecasting – University of Warsaw

You are not logged in log in. Metody i ich zastosowanie, PWE, Warszawa Input-output table in static approach and balance equations. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Generalized least squares method. Moving average forecasting method. Measurement of forecasting error ex ante and ex post.

Factors of material consumption, labor consumption and their interpretation. Time series forecasting models.

Structural and non-structural models. Record of the linear and power model 2. Definition of forecasts and simulation. Students will gain an overview of the concepts and practicalities of simulation and forecasts.

Metody i ich zastosowanie, wyd. Faculty of Economics and Sociology.