[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 Bayesian Techniques for Experimental and Behavioral Economics, With applications in R and Stan, which is a part of our workshops for Ukraine series! Here’s some more info: Title: Structural Bayesian Techniques for Experimental and Behavioral Economics, With applications in R and StanDate: Thursday, October 16th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)Speaker: James Bland (ORCID: https://orcid.org/0000-0002-7117-9998) is an Associate Professor at the University of Toledo (USA). His research interests are at the intersection experimental economics and econometrics, and are especially focused on applied Bayesian econometrics. His free online book “Structural Bayesian Techniques for Experimental and Behavioral Economics, With applications in R and Stan” (https://jamesblandecon.github.io/StructuralBayesianTechniques/section.html) is a practical guide to doing these things, and covers many techniques that he and others have developed in this field.Description: If you have an economic model, then in principle you can estimate its parameters using structural techniques. In experimental and behavioral economics these models typically describe how people make decisions, describing phenomena such as distributional preferences, risk-aversion, time preferences, levels of strategic thinking, and strategies used by players in games. Bayesian techniques lend themselves especially well to estimating these models for at least three reasons. Firstly, hierarchical Bayesian modeling handles well the heterogeneity we can expect there to be between participants in economic experiments. Secondly, when doing structural estimation, we are often interested in reporting transformations of our model’s parameters, and this is very easy to implement in the Bayesian framework. Finally, recent developments in the software for estimating Bayesian models have made doing this easier and less computationally taxing. This workshop will introduce you to structural modelling of data from economic experiments. We will use data from real economic experiments to estimate these models using Stan. Stan is a free probabilistic programming language, and is usable within R with the library RStan. Using a model of other-regarding preferences as an example, we will learn about how to build a full probabilistic model from an economic model that makes deterministic predictions. We will then build into this model some plausible between-participant heterogeneity. Finally, we will use our model to make an out-of-sample prediction.Minimal registration fee: 20 euro (or 20 USD or 800 UAH))Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registrationHow can I register?Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.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?Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!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 Bayesian Techniques for Experimental and Behavioral Economics, With applications in R and Stan workshop was first posted on September 14, 2025 at 1:56 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. 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