Models and Methods Władysław Welfe Welfe A., , Ekonometria. Welfe W., Welfe A., , Ekonometria stosowana, (Applied Econometrics), II edition. Welfe, W., & Welfe, A. (). Ekonometria stosowana (Applied econometrics) ( 2nd ed.). Warszawa: PWE. Whitley, J. (). A course in macroeconomic. Welfe A., Welfe W. () Ekonometria stosowana (Applied Econometrics). PWE, Warsaw. Macroeconomic Forecasts in Transition – Polish Projections in the.

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Non-measurable factors in econometric models.

The subject learning outcomes for the form of lecture and exercises: Methods of estimation of econometric models, conditions of their applicability. Modeling factors and objectives 2. Variables and parameters in the descriptive model. Forecasting based on an econometric model. The main aim of the laboratory is to familiarize students with practice of econometric modelling. Wide using of computer programs to built econometric models e.

Ekonometria stosowana : Wladyslaw Welfe :

Total for the subject: Showing them examples of practical use of econometric methods. Classification of econometric models 1. Student is able to: Assumptions we,fe the stochastic structure of the model. Verification of the econometric model, economic interpretation of the estimation results. Input-output table in static approach and balance equations. 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.


Faculty of Economics and Sociology. An example of the seasonality of ekonometrai phenomena. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Beck, Warszawa, Welfe A. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. Intermediate flows and balance models. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.

Part I by Clopper Almon A. 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.

Metody i ich zastosowanie, PWE, Warszawa Single-equation descriptive models 2. Structure of links and multi-equation classification 3.

Ekonometria stosowana

You are not logged in log in. Modeling of economic phenomena – introductory issues 1. Concept and classification of multipliers 3. Stages of econometric analysis. Factors of material consumption, labor consumption and their interpretation. Additional ekonpmetria registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Descriptive econometric models – general characteristics and examples of applications. Almon, The Craft of Economic Modeling.


Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric 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.

Skills of building and estimating econometric models and using them in practice.

Generalized least squares method. Record of the linear and welce model 2. Ability of analysing input-output models. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.