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. Ability of analysing input-output models. Single-equation descriptive models 2. Generalized least squares method. Concept and classification of multipliers 3. Modeling factors and objectives 2. Faculty of Economics and Sociology.
Ekonometria stosowana – Władysław Welfe – Google Books
The subject learning outcomes for the form of lecture and exercises: Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Passing exercises based on the project, a written work consisting of a task test and activity in class selfe participation in solving practical problems classes 15h, current work 15h, preparation for passing 30h – 60h.
Non-measurable factors in econometric models. Assumptions of the stochastic structure of the model.
Record of the linear and power model 2. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:.
Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.
An example of the seasonality of economic phenomena. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses.
You are not logged in log in. Showing them examples of practical use of econometric methods. Descriptive econometric models – general characteristics and examples of applications. Intermediate flows and balance welte. Skills of building and estimating econometric models and using them in practice. Verification of the econometric model, economic interpretation of the estimation results.
Variables and parameters in the descriptive model. Statistical evaluation of the econometric model verification stosowzna appropriate statistical hypotheses, methods for assessing the goodness of model estimation.
Student is able to: Beck, Warszawa, Welce A. Structure of links and multi-equation classification 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.
Almon, The Craft of Economic Modeling. Stages of econometric analysis. Classification of econometric models 1.
Assumptions of the stochastic structure of the model, examination stosoqana the properties of the random component, selection of estimators, selection of the estimation method. Factors of material consumption, labor consumption and their interpretation. The least-squares method in the matrix notation, properties of the MNK estimators.
Modeling of economic phenomena – introductory issues 1.