JAN GAJDA EKONOMETRIA PDF

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.

On-line services of the University of Warsaw. Almon, The Craft of Economic Modeling. Measurement of forecasting error ex ante and ex post.

Eoonometria I by Clopper Almon A. Students will gain an overview of the concepts and practicalities of simulation and forecasts. The projects should involve three appropriate methods and justification of the best one chosen. Assumptions of the stochastic structure of the model. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.

You are not logged in log in. Showing them examples of practical use of econometric methods.

Record of the linear and power model 2. Total for the jna Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. Faculty of Economics and Sociology. Structural and non-structural models.

The least-squares method in the matrix notation, properties of the MNK estimators. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.

Generating values from a statistical eknoometria.

Classification of econometric models 1. Introduction to gsjda event simulation — simple simulation, simulation on the crate. Moving average forecasting method. Written report should be submitted. Ability of analysing input-output models.

Verification of the econometric model, economic interpretation of the estimation results. Neural networks in forecasting. Methods of ekonometeia of econometric models, conditions of their applicability. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.

Student is able to: An example of the seasonality of economic phenomena. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Definition of forecasts and simulation. The main aim of the jaj is to familiarize students with practice of econometric modelling.

Business Forecasting – University of Warsaw

Using formulas in Excel — overview. Beck, Warszawa, Welfe A. Concept and classification of multipliers 3. The main objective of ekonomettria course is acquainting students with the simulation and forecasts methods. Time series decomposition seasonality, trend, error. Structure of links and multi-equation classification 3. Metody i ich zastosowanie, wyd.

An analysis of ex post and ex ante forecasting errors. Forecasting based on an econometric model. Time series forecasting rules. The subject learning outcomes for the form of lecture and exercises: Beck, Warszawa 2. Descriptive econometric models ekonometriz general characteristics and examples of applications. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Non-measurable factors in econometric models.

Deterministic and stochastic simulation.

Gajda, Jan Bogusław

Intermediate flows and balance models. Factors of material consumption, labor consumption and their interpretation. Discrete event simulation — dynamic simulation and simulation of the next event.

Metody i zastosowania, PWN, Warszawa 3. Time series analysis — deterministic and stochastic trends in the time series models. Skills of building and estimating econometric models and using them in practice.