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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Forecasting based on an econometric model. Beck, Warszawa, Welfe A. The subject learning outcomes for the form of lecture and exercises: Single-equation descriptive models 2. Metody i ich zastosowanie, PWE, Warszawa The main aim of the laboratory is to familiarize students with practice of econometric modelling.
Student is able to: Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions.
Results for Wladyslaw-Welfe | Book Depository
Modeling of economic phenomena – introductory issues 1. Faculty of Economics and Sociology. Almon, The Craft of Stosowanq Modeling.
Verification of the econometric model, economic interpretation of the estimation results.
An example of the seasonality of economic eknometria. Modeling factors and objectives 2. You are not logged in log in. Variables and parameters in the descriptive model. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Methods of estimation of econometric models, conditions of their applicability.
Ekonometria stosowana : Wladyslaw Welfe :
Concept and classification of multipliers 3. Wide using of computer programs to built econometric models e. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Passing exercises based on the project, a written work consisting of a task test and activity in ekinometria – participation in solving practical problems classes 15h, current work 15h, preparation for passing 30h – 60h.
Total for the stoswana Record of the linear and power model 2. Assumptions of the stochastic structure of the model. Input-output table in static approach and balance equations. Non-measurable factors in econometric models.
Intermediate flows and balance models. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. Classification of econometric models 1. Input-output models – input-output table sstosowana terms of quantity and value – technical factors and basket factors – Leontief’s model and its solutions in terms of quantity and value – price model.
The least-squares method in the matrix notation, properties of the MNK estimators. Part I by Clopper Almon A. Generalized least squares method. Stages of econometric analysis. Ability of analysing input-output models. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.
Structure of links and multi-equation classification 3. Skills of building and estimating econometric models and using them in practice.