Multiple time series regression: non-stationary variables

[gueyenono]

Hello @gabrielfos and welcome to RStudio Community

What you are asking is fairly simple to do in R; however, whenever you ask a data-related question, you should consider providing a reproducible example. I encourage you to read this to learn more about it:

FAQ: What's a reproducible example (`reprex`) and how do I create one?

Why reprex? Getting unstuck is hard. Your first step here is usually to create a reprex, or reproducible example. The goal of a reprex is to package your code, and information about your problem so that others can run it and feel your pain. Then, hopefully, folks can more easily provide a solution. What's in a Reproducible Example? Parts of a reproducible example: background information - Describe what you are trying to do. What have you already done? complete set up - include any library() calls and data to reproduce your issue. data for a reprex: Here's a discussion on setting up data for a reprex make it run - include the minimal code required to reproduce your error on the data…

It would definitely help if you could send us a data sample that we could use to help you. You could upload it somewhere and provide a download link?

Finally, when it comes to time series, you cannot run a simple regression with nonstationary series. If you do, the results will be spurious, which means that they will not be reliable for inference. So, the first thing to do is to difference your data in order to make it stationary before running the regression. I can show you how if you provide some data.

Cheers.