The econometrics by means of mathematical and statistical methods studies quantitative and qualitative economic interrelations. Thanks to this rather new science created in the thirties the last century there was an opportunity to conduct the researches giving important information for the solution of theoretical and applied economic tasks.
It is required to you
- - textbooks on econometrics.
Instruction
1. For the sure solution of tasks in econometrics it is necessary to study its main sections: the classical and generalized regression models, temporary ranks and the systems of the simultaneous equations. It is necessary to know in what situations it is possible to apply any given model what way of calculation in this case will yield the most exact result.
2. Before any mathematical and statistical researches it is necessary to represent the task facing you accurately. Proceeding from vision of the purpose, organize collecting necessary statistical data, namely, values of the factors participating in model on different temporary (or some other) intervals of the studied phenomenon.
3. Carry out primary analysis of collected data. Include them in tables, construct charts, histograms, etc. – data have to be presented in the form, most convenient for further work. Perhaps, at this stage you will be able already to draw certain conclusions, you can have ideas in the further direction of researches.
4. Study the obtained data, using suitable mathematical and statistical tools. Estimate reliability of the received results, their stability in case of a tolerance of basic data. The revealed steady regularities can be used for achievement of the set economic targets.
5. In practice many tasks turn out standard therefore it is enough to deal with their main options that then it is sure to cope with similar tasks. Use examples of the solution of econometric tasks, at the same time try to understand why any given method is used. Mechanical learning without understanding of an essence will not allow you to put your knowledge into practice in the situation different from the acquaintance according to textbooks. To the contrary, if you will understand the meaning of the applied algorithms, then will be able always to choose the most suitable and to use it for the solution of a non-standard task.