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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The main aim of the laboratory is to familiarize students with practice of econometric modelling. Showing them examples of practical use of econometric methods. Ability of analysing input-output models. Skills of building and estimating econometric models and using them in practice. Wide using of computer programs to built econometric models e. Metody i ich zastosowanie, PWE, Warszawa Beck, Warszawa, Welfe A.

Ekonometria stosowana : Wladyslaw Welfe :

Almon, The Craft of Economic Modeling. Part Stosowaha by Clopper Almon A. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:.

Faculty of Economics and Sociology.

The subject learning outcomes for the form of lecture and exercises: Student is able to: Total for the subject: 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. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.


Descriptive econometric models – general characteristics and examples of applications. Variables and parameters in the descriptive model.

Assumptions of the stochastic structure of the model. Stages of econometric analysis. Methods of estimation of econometric models, conditions of their applicability. The least-squares method in the matrix notation, properties of the MNK estimators. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses.

Generalized least squares method. Non-measurable factors in econometric models. An example of the seasonality of economic phenomena.

Fundamentals of Econometrics – University of Łódź

Verification of the econometric model, economic interpretation of the estimation results. Forecasting based on an econometric model. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.


Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Intermediate flows and balance models. Input-output table in static approach and balance equations. Factors of material consumption, labor consumption and their interpretation. Modeling of economic phenomena – introductory issues 1. Classification of econometric models 1.

Modeling factors and objectives 2. Single-equation descriptive models 2. Record of the linear and power model 2. Structure of links and multi-equation classification 3.

Wladyslaw Welfe

Concept and classification of multipliers 3. 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.

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