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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Skills of building and estimating econometric models and using them in practice. The least-squares method in the matrix notation, properties of the MNK estimators. Structure of links and multi-equation classification 3.
Almon, Ekonometrja Craft of Economic Modeling.
Assumptions of the stochastic structure of the model. Wide using of computer programs to built econometric models e. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.
Forecasting based on an econometric model. Faculty of Economics and Sociology. The subject learning outcomes for the form of lecture and exercises: Input-output table in static approach and balance equations.
Variables and parameters in the descriptive model. You are not logged in log in.
Single-equation descriptive models 2. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of MNK, interpretation, evaluation and application in logistic decisions. Part I by Clopper Almon A. 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: Ability of analysing input-output models.
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. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses.
Concept and classification of multipliers 3. Student is able to: Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Intermediate flows and balance models. Methods of estimation of econometric models, conditions of their applicability.
Fundamentals of Econometrics – University of Łódź
The main aim of the laboratory is to familiarize students with practice of econometric modelling. Classification of econometric models 1.
Factors of material consumption, labor consumption and their interpretation. Beck, Warszawa, Welfe A. Non-measurable factors in econometric models.
Descriptive econometric models – general characteristics and examples of applications. Generalized least squares method. Metody i ich zastosowanie, PWE, Warszawa An example of the seasonality of economic phenomena. Total for the subject: Verification of the econometric model, economic interpretation of the estimation results. Ekononetria of the linear and power model 2. Showing them examples of practical use of econometric methods.