da_case_studies

Code for Case Studies in

Data Analysis for Business, Economics, and Policy by Gábor Békés (CEU) and Gábor Kézdi (U. Michigan)

Graduate textbook forthcoming (January 2021) by Cambridge University Press

Code language versions

1. R -- We used v3.6.3, but all code should work in v4.0, but some checks may be needed.
2. Stata -- We used version 15, but raw data is saved in Stata 13 and allmost all code should work in version 13 up.
3. Python (in preparation) -- We used Python 3.8.3.

Organization

1. Each case study has a separate folder.
2. Within case study folders, codes in different languages are simply stored together.
3. Some intermediary files (csv, dta, rds) may be saved there, too.
4. Currently output is not stored here

Get data

Get data by datasets
NOTE: Draft version, please do not share.

How to run case studies in R

1. Step 1: Set the working directory for your project.

   • Option 1: [Recommended] In case you use RStudio create a new Rstudio project for the case studies and load it every time you are working on the project. See the official documentation on how to create and use Rstudio projects.
   • Option 2: Make sure some other way that your working directory is the root folder of the case study repository.

2. Step 2: Create an .Renviron file in your project folder and set the directory that contains the use case data. See more information in .Renviron file here.

   • Copy (and rename to .Renviron) the .Renviron_sample file
   • Set DATA_DIR to the absolute path of the directory that contains the use case data
   • If you have set up an Rstudio project described in Step 1. then just keep the new .Renviron file in your project folder. If you do not use Rstudio project then make sure some other way that this .Renviron file is processed.

How to run case studies in Stata

Stata is used widely in social science research. MORE

(will be added)

How to run case studies in Python

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