How to prepare panel data in Stata

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How to prepare panel data in STATA

Thanks for stopping by here. If you want to follow instructions on preparing panel data in STATA. Please follow the command below.

Before we start, a couple of things that you have to do are 

  1. Prepare the list of your sample groups, it can be a country, company, or whatever. 
  2. Prepare the list of times, it has to be repetitive, it could be a month in a year, could be a year specifically. 
  3. And then make sure if you create it in a good structure. 
  4. If you need any info or video on how to create it. Feel free to write in the comment below. 

// To re-group into numeric the variable parameter

egen (proposed variable) = group(the existing variable as a parameter) 

in this example

egen countrynum = group(A) 

// To check whether the data is fit with the

countrynum list A 
countrynum in 1/10, sepby (A) 

// To prepare based on the group of parameter

xtset (variable of group) 
xtset countrynum 

// To set the group yearly

xtset countrynum (the yearly variable), yearly xtset countrynum B, yearly 

// to regress this panel data

xtreg (dependent variable) (independet variable and the rest)

Also read: What is Panel data?

Panel data stata

How to prepare panel data in stata

If you need the data to practice the same as in the video. Feel free to use it here Memo on Google Android 9.0

The research related to this Stata data also has been published in a Journal here Memo on Google Android 9.0. Don't forget to cite our name there.

The PDF of the guidance can be downloaded here Memo on Google Android 9.0

If you are interested in running in the command line, here is the command format in Trinket

Hope this article helps. 

Feel got help, support the blog by buying me a coffee 

Hi, my name is Dimas; I am a data enthusiast. I am writing several chapters related to Big Data, the macroprudential policy effect on the economy, and some economic and IT research. If you are interested in collaborating, please write your email to [email protected]

Thanks for stopping by. All the information here is curated from the most inspirational article on the site.

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