Introduction to Data Analysis with STATA

The course provides students with the basic skills in using the STATA software, such as installation, using the interface, loading and managing data sets, programming the do-files, calculating descriptive statistics, estimating simple and multiple regression models, creating graphs, and programming loops.

• Installation and user interface
• Entering data
• Preparing data for analysis
• Working with commands, do-files, and results
• Descriptive statistics and graphs
• Tests for one or two means
• Regression analysis: Linear regression
• Regression analysis: Logistic regression

References:

• Alan Acock, A Gentle Introduction to Stata, 6th ed., Stata Press, 2018.

• Ulrich Kohler and Frauke Kreuter, Datenanalyse mit Stata: Allgemeine Konzepte der Datennanalyse und ihre praktische Anwendung, 5th ed., Oldenbourg: De Gruyter, 2016.

• Christopher Baum, An Introduction to Stata Programming, 2nd ed., Stata Press, 2015.

• Michael N. Mitchell, A Visual Guide to Stata Graphics, 3rd ed., Stata Press, 2012.

• A. Colin Cameron and Pravin K. Trivedi, Microeconometrics Using Stata, Revised ed., Stata Press, 2010.

At the end of the course, the students should know how to

• import, manipulate, and export data sets

• summarize data sets using descriptive statistics

• program .do files

• run simple and multiple regressions and interpret regression output

• produce and export graphs

• produce and export tables

• program loops

There will be a final exam lasting 60 minutes. The final exam will ask you to work with a given data set and produce a .do file that performs the required operations.

Grading is as follows:

1,0: 95 to 100

1,3: 90 to 94

1,7: 85 to 89

2,0: 80 to 84

2,3: 75 to 79

2,7: 70 to 74

3,0: 65 to 69

3,3: 60 to 64

3,7: 55 to 59

4,0: 50 to 54

4,3: 45 to 49

4,7: 40 to 44

5,0: less than 40