JAN GAJDA EKONOMETRIA PDF

Most widely held works by Jan Bogusław Gajda. Ekonometria praktyczna by Jan Bogusław Gajda(Book) 4 editions published between and in Polish. Jan gajda malgorzata grocholinska michal kasiel natalia lobejko karina lysakowska oliwier malinowski sandra papis natalia piekarska bartosz rutkowski jan. Course coordinators. Jan Gajda Gajda J., Prognozowanie i symulacje a decyzje gospodarcze, wyd. C. H. Beck, Warszawa Ekonometria. Prognozowanie.

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Classification of econometric models 1. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system:. Discrete event simulation — steady-state models.

Record of the linear and power model 2. Placet, Warszawa 5.

Jan Gajda Ekonometria Pdf Download | inuphspearmap

Sampling from probability distributions — inverse transform method. Heteroscedasticity and autocorrelation of a random component, testing of appropriate hypotheses. The project requires the theory, described during classes, to be applied to a specific problem in finance or economics.

Time series forecasting models. Descriptive econometric models – selection of variables for the model and approximation function, construction, estimation of Gajdq, interpretation, evaluation and application in logistic decisions. Evaluation is jab on tutorial exercises and individually prepared project at the end of the semester. Student is able to: Factors of material consumption, labor consumption and their interpretation. Ability of analysing input-output models.

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Deterministic and stochastic simulation. Stages of econometric analysis. Introduction to discrete event simulation — simple simulation, simulation on the crate. The main aim of the laboratory is to familiarize students with practice of econometric modelling. 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.

Generating values from a statistical distribution. Definition of forecasts and simulation. Assumptions of the stochastic structure of the model. Measurement of forecasting error ex ante and ex post. Introduction to econometrics goals of econometrics, the concept of an econometric model, classification of econometric models.

Almon, The Craft of Economic Modeling. Gajdda of estimation of econometric models, conditions of their applicability.

Input-output table in static approach and balance equations. Building a worksheet-based simple simulation. Statistical evaluation of the econometric model verification of appropriate statistical hypotheses, methods for assessing the goodness of model estimation.

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Gajda, Jan Bogusław

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. Variables and parameters in the descriptive model.

Introduction to optimization with the Excel Solver tool. Beck, Warszawa 2.

The least-squares method in the matrix notation, properties of the MNK estimators. Generalized least squares method. Total for the subject: Time series decomposition seasonality, trend, error. Verification of the econometric model, economic interpretation of the estimation results. Additional information registration calendar, class conductors, localization and schedules of classesmight be available in the USOSweb system: Faculty of Economics and Sociology.

The choice of the smoothing parameters.