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.

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Single-equation descriptive models 2.

Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method. Total for the subject: Assumptions of the stochastic structure of the model. Analysis with basic statistic. Verification of the econometric model, economic interpretation of the estimation results.

Input-output models – input-output table in terms of quantity and value – technical factors and basket factors – Leontief’s model and its solutions in terms of quantity and value – price model. There will be also theoretical written exam.


Metody i ich zastosowanie, wyd. Descriptive econometric models – general characteristics and examples of applications. On-line services of the University of Warsaw You are not logged in log in.

Sampling from probability distributions — inverse transform method. Placet, Warszawa 5. You are not logged in log in.

Using dynamic simulation to improve production. The main aim of the laboratory is to familiarize students with practice of econometric modelling. Building a worksheet-based simple simulation.

Jan Gajda Ekonometria Pdf Download | inuphspearmap

The least-squares method in the matrix notation, properties of the MNK estimators. The main objective of the course is acquainting students with the simulation and forecasts methods. Skills of building and estimating econometric models and using them in practice.

Moving average forecasting method.

Business Forecasting – University of Warsaw

Faculty of Economics and Sociology. Stages of econometric analysis.

The project requires the theory, described during classes, to be applied to a specific problem in finance or economics. Neural networks in forecasting. There will be oral presentation of the project made during the last week of classes. Using formulas in Excel — overview.


Gajda, Jan Bogusław

Introduction to optimization with the Excel Solver tool. Structure of links and multi-equation classification 3.

The projects should involve three appropriate methods and justification of the best one chosen. Ability of analysing input-output models. Variables and parameters in the descriptive model. An analysis of ex post and ex ante forecasting errors. Time series forecasting models.

Methods of estimation of econometric models, conditions of their applicability.