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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Single-equation descriptive models 2. Stages of econometric analysis. Classification of econometric models 1. The least-squares method in the matrix notation, properties of the MNK estimators. Non-measurable factors in econometric models. Ability of analysing input-output models.

Fundamentals of Econometrics – University of Łódź

Modeling factors and objectives 2. Input-output models – input-output table in terms of quantity and value – technical factors and stsowana factors – Leontief’s model and its solutions in terms of quantity and value – price model. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.

Metody i ich zastosowanie, PWE, Warszawa Total for the subject: Input-output table in static approach and balance equations. Beck, Warszawa, Welfe A. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.


Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. Structure of links and multi-equation classification 3.

Assumptions of the stochastic structure of the model. Forecasting based on an econometric model.

Ekonometria stosowana

Verification of the econometric model, economic interpretation of the estimation results. Record of the linear and power model 2. Showing them examples of practical use of econometric methods.

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

Faculty of Economics and Sociology. Part I by Clopper Almon A.

Ekonometria stosowana – Władysław Welfe – Google Books

Variables and parameters in the descriptive model. Generalized least squares method. Factors of material consumption, labor consumption and their interpretation. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method. You are not logged in log in. Almon, The Craft of Ekoometria Modeling. The subject learning outcomes for the form of lecture and exercises: Passing exercises based on the project, a wdlfe 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.


Student is able to: An example of the seasonality of economic phenomena. Concept and classification of multipliers 3.

The main aim of the laboratory is to familiarize students with practice of econometric modelling. Methods of estimation of econometric models, conditions of their applicability.

Wide using of computer programs to built econometric models e. Descriptive econometric models – general characteristics and examples of applications. Modeling of economic phenomena – introductory issues 1. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.

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