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.

Author: Gamuro Sakinos
Country: Angola
Language: English (Spanish)
Genre: Life
Published (Last): 3 April 2007
Pages: 85
PDF File Size: 19.74 Mb
ePub File Size: 3.90 Mb
ISBN: 588-5-29389-435-2
Downloads: 21135
Price: Free* [*Free Regsitration Required]
Uploader: Jurn

Beck, Warszawa, Welfe A.

Variables and parameters in the descriptive model. Structure of links and multi-equation classification 3. Verification of the econometric model, economic interpretation of the estimation results. Modeling of economic phenomena – introductory issues 1. 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.

The subject learning outcomes for the form of lecture and exercises: Record of the linear and power model 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: Stages of econometric analysis.

Classification of econometric models 1. Showing them examples of practical use of econometric methods. Generalized least squares method. Assumptions of the stochastic structure of the model, examination of the properties of the random component, selection of estimators, selection of the estimation method.

Fundamentals of Econometrics – University of Łódź

Wide using of computer programs to built econometric models e. You are not logged in log in. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation. Total for the subject: The main aim of the laboratory is to familiarize students with practice of econometric modelling.

Ekonometria stosowana : Wladyslaw Welfe :

Metody i ich zastosowanie, PWE, Warszawa Intermediate flows and balance models. Student is able to: Descriptive econometric models – general characteristics and examples of applications. Faculty of Economics and Sociology.

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 stossowana practical problems classes 15h, current work 15h, preparation for passing 30h – 60h. Concept and classification of multipliers 3. Modeling factors and objectives 2.


Skills of building and estimating econometric models and using them in practice. Single-equation descriptive models 2. Almon, The Craft of Economic Modeling. Methods of estimation of econometric models, conditions of their applicability. Heteroscedasticity and autocorrelation of a random ekonommetria, testing of appropriate hypotheses. Ability of analysing input-output models. An example of the seasonality of economic phenomena.

Download Epub English Ekonometria Stosowana Pdf By Wladyslaw Welfealeksander Welfe

Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models. Factors of material consumption, labor consumption and their interpretation. Assumptions of the stochastic structure of the model. Forecasting based on an econometric model. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Input-output table in static approach and balance equations.

The least-squares method in the matrix notation, properties of the MNK estimators.