Október - 2019
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Tantárgyi program 2019/2020


I. Alapadatok

A tantárgy kódja:4MA23NAV43M
A tantárgy megnevezése (magyarul):Introduction to Stata
A tantárgy neve (angolul):Introduction to Stata
A tanóra száma
(Előadás + szeminárium /gyakorlat/egyéb):
2 (seminar)
Kreditérték:3
Becsült hallgatói munkaóra: (kpx30)90
A tantárgy meghirdetésének gyakorisága:fall term
Az oktatás nyelve:English
Előtanulmányi kötelezettségek:---
A tantárgy típusa:
Tantárgyfelelős tanszék:Makroökonómia Tanszék
A tantárgyfelelős neve:Tőkés László János

II. A tantárgy célja (a fenntarthatóság szempontjai)

A tantárgy célja:
Empirical testing of economic theories is crucial nowadays. There are several statistical software packages, for example, Stata, which is one of the leading software tools in the academic world. This Introduction to Stata course aims to teach the basics of this software to master students.

We follow the general scheme of an applied econometric research to learn the logic of Stata: importing and describing data, manipulating and cleaning datasets, conducting statistical and econometric analysis (descriptive statistics, estimation, and postestimation), and visualizing data. The aim of the course is not to teach answering econometric questions, but to teach how to formulate the given questions in Stata. We teach how to use the most common commands and we issue guidelines to solve absolutely new problems, as well. Successfully completing the course, students will understand the logic of Stata, will be able to use the basics of Stata and have some intuition of where and how to start solving new problems. An important remark: the course is not about statistics/econometrics, it is about the language of Stata.

A fenntarthatóság szempontjai:
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IV. A tantárgy tervezett tanulási eredményei (fejlesztendő szakmai kompetenciák)

Tudás:
- Understand the logic of the general Stata-syntax.
- Have an idea about the opportunities in Stata.
- Know the most important commands according to data description, dataset restructuring, and data analysis.


Képesség:
- Can use the most important commands according to data description, dataset restructuring, and data analysis.
- Can apply the Stata-logic to new problems.
- Can prepare clear and “nice” .do files.


Attitűd:
- Interested in empirical economics.
- Strive to prepare clear and “nice” .do files.


Szakspecifikus tanulási eredmények (opcionális)

Szak/képzés megnevezése:


Tudás:


Képesség:


Attitűd: