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STATA
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While the Problem Sets are on your side, we will not answer any personal emails regarding Stata or the Problem Sets.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Answer the problem set questions in the do-file. You need to send us a zipped file with:

The completed do-file. Test the do-file before submitting it to be sure that it runs well and that we can reproduce your output. Please be sure that the do-file is clear and that it contains your name and student number. Don’t forget to number your answers.

The output (graphs). Make sure they are easy to understand and visually appealing.

 

 

Grading

 

The final score will depend on: (1) whether the questions are answered or not, and (2) the use of Stata in answering those questions.

 

To obtain the maximum score (20 out of 20), you need to:

Answer all questions.

Present a do-file, with your name and number, containing all of your work.

Perform all tasks using appropriate coding in Stata (your do-file runs without errors). Otherwise, a score of 0 will be given.

  

 

Questions and help

 

While the Problem Sets are on your side, we will not answer any personal emails regarding Stata or the Problem Sets. If you have any questions or clarification needs, please post them in the Moodle’s forum. In this way, the playing field is levelled for everyone. Note that the web is full of websites and forums that discuss virtually any Stata issue you may encounter. Just google any question you have. A few useful links:

https://stats.oarc.ucla.edu/stata/ (check also their FAQ section)

https://www.stata.com/links/resources-for-learning-stata/ (long list of resources)

Stata cheat sheets provided on Moodle

 

 

Tasks 

 

This problem set will focus mainly on descriptive statistics, using graphs. Make sure that the graphs are easy to read and contain all information that they are supposed to convey. It is also important that they are visually appealing. Export all graphs to a folder and send us a zipped version. Notice that there always different ways of answering the same question. Part of your job is to find an efficient way of doing it. 

 

1) Keeping your dataset as small as possible is important. You may notice that some variables have no variation, either because all values are missing or because they always take the same value. Drop them.

 

2) Build frequency bar graphs (in %) for the following variables in 2004:

a. Legal form 

b. Credit risk 

c. Number of owners

d. Primary location 

 

3) Combine all four graphs into a single graph using the command  “graph combine”.

 

4) In a single graph, show the evolution over time (2004-2011) of:

e. The fraction of firms with sales 

f. The fraction of firms with positive profits

 

5) Plot the empirical distribution of financial leverage ratio (Debt / Debt + Equity) in 2004 using a histogram. Add a normal density plot to the histogram.  

 

6) Create a dummy variable that equals one if the firm owner has other businesses, and equals zero otherwise. Call this variable serial_entrepreneur. Next, plot the average fraction of firms with any intellectual property (patents, copyrights, and trademarks) for serial and non-serial entrepreneurs, separately for each level of education of the firm owner. 

 

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