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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Beck, Warszawa, Welfe A. 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. Modeling stosowanz economic phenomena – introductory issues 1.
Results for Wladyslaw-Welfe | Book Depository
Student is able to: Classification of econometric models 1. Assumptions of the stochastic structure of the model.
Input-output table in static approach and balance equations. Factors of material consumption, labor consumption and their interpretation. An example of the seasonality of economic phenomena. Stages of econometric analysis. You are not logged in log in.
Modeling factors and objectives 2. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Faculty of Economics and Sociology.
Single-equation descriptive models 2. Metody i ich zastosowanie, PWE, Warszawa Statistical wlefe of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Descriptive econometric models – general characteristics and examples of applications.
Ability of analysing input-output models.
Ekonometria stosowana – Władysław Welfe – Google Books
Variables and parameters in the descriptive model. 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. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.
Skills of building and estimating econometric models and using them in practice. Record of the linear and power model 2. Intermediate flows and balance models.
Total for the subject: Non-measurable factors in econometric models. Part I by Clopper Almon A. Wide using of computer programs to built econometric models e.
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.
Methods of estimation of econometric models, conditions of their applicability. Structure of links and multi-equation classification 3. Concept and classification of multipliers 3. Almon, The Craft of Economic Modeling. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.
The least-squares method in the matrix notation, properties wflfe the Ekomometria estimators. Forecasting based on an econometric model.
Verification of the econometric model, economic interpretation of the estimation results. The subject learning outcomes for the form of lecture and exercises: Heteroscedasticity 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. Generalized least squares method. Introduction to econometrics goals of econometrics, the concept of ekoometria econometric model, classification of econometric models.