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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Total for the subject: Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Factors of material consumption, labor consumption and their interpretation. The subject learning outcomes for the form of lecture and exercises: Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.

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

You are not logged in log in. Modeling factors and objectives 2. Faculty ekonomftria Economics and Sociology. Beck, Warszawa, Welfe A. The main aim of the laboratory is to familiarize students with practice of econometric modelling.


Concept and classification of multipliers 3. Single-equation descriptive models 2. Structure of links and multi-equation classification 3. Part I by Clopper Almon A. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Variables welf parameters in the descriptive model.

Forecasting based on an econometric model. Ability of analysing input-output models. Student is able to: Record of the linear and power model 2. Generalized least squares method.

The least-squares method in the matrix notation, properties of the MNK estimators. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.

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Verification of the econometric model, economic interpretation of the estimation results. Skills of building and estimating econometric models and using them in practice.

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 ekonometrka price model.


Assumptions of the stochastic structure of the model. Almon, The Craft of Economic Modeling.

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Intermediate flows and balance models. Showing them examples of practical use of econometric methods. Wide using of computer programs to built econometric models e. An example of the seasonality of economic phenomena. Non-measurable factors in econometric 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.

Modeling of economic phenomena – introductory issues 1. Input-output table in static approach and balance equations. Passing exercises based on the project, a written work consisting ewlfe a task test and activity in class – participation in solving practical problems classes 15h, current work 15h, preparation for passing 30h – 60h.