May 29, 2020

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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Input-output table in static approach and balance equations. Factors of material consumption, labor consumption and their interpretation.

The ekonomehria learning outcomes for the form of lecture and exercises: Non-measurable factors in econometric models. 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.

Ekonometria stosowana – Władysław Welfe – Google Books

Generalized least squares method. 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. Single-equation descriptive models 2.


The least-squares method in the matrix notation, properties of the MNK estimators. Showing them examples of practical use stosowwna econometric methods.

Modeling factors and objectives 2. Classification of econometric models 1. Beck, Warszawa, Welfe A.

Results for Wladyslaw-Welfe | Book Depository

Student is able to: Stages of econometric analysis. Modeling of economic phenomena – introductory issues 1. Variables and parameters in the descriptive model. An example of the seasonality of economic phenomena.

The main aim of the laboratory is to familiarize students with practice of econometric modelling. Concept and classification of multipliers 3. Total for the subject: Record of the linear and power model 2. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.

Forecasting based on an econometric model. Faculty of Economics and Sociology. Skills of building and estimating econometric models and using them in practice.

Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Verification of the econometric model, economic interpretation of the estimation results.

Wladyslaw Welfe

Descriptive econometric models – general characteristics and examples of applications. Wide using of computer programs to built econometric models e.


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:.

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

Ability of analysing input-output models. Methods of estimation of econometric models, conditions of their applicability. Ekonimetria are not logged in log in. Almon, The Craft of Economic Modeling. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses.

Metody i ich zastosowanie, PWE, Warszawa Part Ekonoketria by Clopper Almon A. Structure of links and multi-equation classification 3. Intermediate flows and balance models. Assumptions of the stochastic structure of the model. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.