Offer
Econometrics
I invite you to the training of econometrics - the full range.
Also preparing effectively in a short time the following events:
- junior high school exam,
- secondary-school certificate,
- exam for university,
- colloquium,
- exam session.
I teach both at home and in the client's home (Rybnik and around).
Below I've included a framework program of econometrics.
Econometric model
- Single-equation linear form of an econometric model with one explanatory variable.
- The estimation of parameters of the model with one explanatory variable, the least squares method.
Classical least squares method
- Assumptions of classical least squares method.
- The estimation of parameters of the model with many explanatory variables, the least squares method.
- Properties of estimators obtained by the least squares.
- Econometric model and regression model.
- Net regression coefficients and coefficients of gross.
- Fit the model to empirical data.
- Inference about the parameters of linear econometric model.
- Selection of explanatory variables to the model.
Verification model
- The study of randomness.
- The test of normality.
- Autocorrelation study.
- Homoscedasticity study.
Methods for estimating the parameters of econometric models in the case of autocorrelation and heteroscedasticity
- Generalized least squares method.
- Differential method.
- The method of Cochrane-Orcutta.
- The weighted least squares method.
Nonlinear econometric models
- Types of nonlinear functions in the economic and agricultural research.
- Analytical method for selecting a model.
- Estimation of parameters of nonlinear models by linearization.
- Numerical methods for estimating non-linear models.
The production function
- Studies of production flexibility.
- Marginal.
- Substitution of production factors.
- Dynamic production functions.
- CES-type production function.
Econometric analysis of market
- Studies of income distribution using the Pareto curve.
- Studies of income distribution using the normal curve.
- Studies of income distribution using the log-normal curve.
The econometric analysis of consumer demand
- Research income elasticity of demand.
- Logit Analysis.
Multi-equation models
- Classification variables.
- Structural and reduced form model.
- Classification of multi-equation models.
- The problem of identification.
- Estimation of parameters of multi-equation models.
- Verification of the multi-equation model.
Single-equation use of econometric models for forecasting
- Assumptions prediction.
- Forecast points and the subdivision.