Structural and Predictive Macro Analyses using the R Package bsvars workshop

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Join our workshop on Structural and Predictive Macro Analyses using the R Package bsvars, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: Structural and Predictive Macro Analyses using the R Package bsvars

Date: Thursday, August 1st, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone) 

Speaker: Tomasz Wozniak, Tomasz is an econometrician who is developing new methods for empirical macroeconomic analyses. He codes these algorithms in C++ for R applications using Rcpp and authors the R package bsvars for Bayesian estimation of structural vector autoregressions. He is a senior lecturer at the University of Melbourne and co-organises the annual Melbourne Bayesian Econometrics Workshop.

Description: Quantifying the dynamic effects of well-isolated shocks on macro and financial aggregates is essential for governing institutions, academia, and business. This workshop presents a complete workflow for such analyses and focuses on various methods that facilitate interpretations and visualisations of data insights. It briefly introduces the necessary background on Bayesian Structural VARs. All this is complemented by a series of exercises, ensuring a hands-on learning experience. Please make sure to install the package following the instructions at https://bsvars.github.io/bsvars/#installation 

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



How can I register?



  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?


  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).



You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!


Structural and Predictive Macro Analyses using the R Package bsvars workshop was first posted on July 1, 2024 at 3:49 pm.
To leave a comment for the author, please follow the link and comment on their blog: R-posts.com.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)