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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Part I by Clopper Almon A. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: The subject learning outcomes for the form of lecture and exercises: The least-squares method in the matrix notation, properties of the MNK estimators.

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Passing exercises based on the project, a written work consisting of a task test ekonometris activity in class – participation in solving practical problems classes 15h, current work 15h, preparation for passing 30h – 60h.

Verification of the econometric model, economic interpretation of the estimation results. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method. Non-measurable factors in econometric models. Wide using of computer programs to built econometric models e.


Input-output table in static approach and balance equations. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions. You are not logged in log in. Descriptive econometric models – general characteristics and examples of applications.

Skills of building welre estimating econometric models and using them in practice. Assumptions of the stochastic structure of the model.

Ability of analysing input-output models. Structure of links and multi-equation classification 3. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Modeling of economic phenomena – introductory issues 1. Factors of material consumption, labor consumption and their interpretation. Student is able to: Metody i ich zastosowanie, PWE, Warszawa Record of the linear and power model 2. Almon, The Craft of Economic Modeling. Intermediate flows and balance models.

Fundamentals of Econometrics – University of Łódź

Methods of estimation of econometric models, conditions of their applicability. An example of the seasonality of economic phenomena. Ekomometria and autocorrelation of a random component, testing of appropriate hypotheses.


The main aim of the laboratory is to familiarize students with practice of econometric modelling. Forecasting based on an econometric model. Stages of econometric analysis. Beck, Warszawa, Welfe A.

Ekonometria stosowana

Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Faculty of Economics and Sociology. Single-equation descriptive models 2.

Generalized least squares method. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Showing them examples of practical use of econometric methods.

Variables and parameters in the descriptive model. Input-output models – input-output table in terms of quantity and value – technical factors and basket ekonomstria – Leontief’s model and its solutions in terms of quantity and value – price model. Total for the subject: Classification of econometric models 1. Concept and classification of multipliers 3. Modeling factors and objectives eelfe.