Top Tweets for #teachbe
New chapter available in my free online book
https://t.co/w7rwqaxt36
PDF version available here: https://t.co/6REy0C6ltM
#TeachBE
Working on a new chapter of my book!
In which I take a long-ish list of QRE models to Holt, Sahu, and Smith (2022).
#TeachEcon #TeachBE
https://t.co/bqNJXohkg8
My CRRA coefficient is 0.20. My probability weighting function evaluated at 50% is 82.3%. I made 49 decisions. Estimate your rank-dependent utility preferences here: https://t.co/euCDJQYRNm
#TeachEcon #TEachBE
Another app for estimating your risk preferences: https://t.co/RqGA9Rusjp
This one uses a greedy adaptive algorithm based on my working paper: https://t.co/M8lGG3ASPy
#TeachEcon #TeachBE
ESTIMATE MY RISK PREFERENCES!
https://t.co/BfZoyDQm0N
v0.0.6 now available.
This update includes
- A measure of choice consistency in the report
- The option to see the lotteries as pie charts. The bar chart option remains
#TeachEcon #TeachBE
ESTIMATE MY RISK PREFERENCES! Another update, v0.0.5
#EconSky #TeachEcon #TeachBE
https://t.co/Ow6ppI0oLt
ESTIMATE MY RISK PREFERENCES
Version 0.0.4 is now available here: https://t.co/BfZoyDQm0N
I have added buttons to share your results here and on the butterfly site.
#CARAcoefficient #TeachEcon #TeachBE
ESTIMATE MY RISK PREFERENCES is now available on shinyapps!
Ever wanted a posterior distribution of your CARA coefficient? This app helps you elicit it.
Please share results and user experience!
#TeachBE #TeachEcon
https://t.co/BfZoyDQm0N
ESTIMATE MY RISK PREFERENCES v0.0.1, A shiny app
It seems too big for shinyapps, so I've pushed it to my GitHub so you can download it and run it locally.
@mcmc_stan #TeachBE
https://t.co/6EG64mCdCo
Is anyone interested in knowing their risk preferences? I am thinking about making a Google form to fill out. You'd have about 80 binary decisions. I would then use
@mcmc_stan to estimate your utility function and give you a short report about what it means.
#TeachBE
Is anyone interested in knowing their risk preferences? I am thinking about making a Google form to fill out. You'd have about 80 binary decisions. I would then use
@mcmc_stan to estimate your utility function and give you a short report about what it means.
#TeachBE
A new blog post!
In which @MatterOfStats and I estimate our own risk preferences in @mcmc_stan with the hope of best responding to a proper scoring rule.
#AFL
https://t.co/p0UXvPEIym
I estimated my behavioral economics students' risk preferences, and you can too! A blog post about how to do it in @Rstats and @mcmc_stan
#TeachBE
https://t.co/bI3CV3mu0R
Just started teaching risk preferences in Behavioral Economics. We ran a Holt & Laury (2002) task and a Gneezy & Potters (1997) task in class today. Here are estimates of my students' EUT risk preferences for the utility function u(x)=x^r (so r<1 is resk-averse). #TeachBE
Just started teaching risk preferences in Behavioral Economics. We ran a Holt & Laury (2002) task and a Gneezy & Potters (1997) task in class today. Here are estimates of my students' EUT risk preferences for the utility function u(x)=x^r (so r<1 is resk-averse). #TeachBE
A new chapter is available in my free online book!
#TeachBE @mcmc_stan #NonclassicalMeasurementError
https://t.co/A6E8RK5MqR
New working paper!
"Adding parameter heterogeneity to structural models: some guidance for the practitioner"
https://t.co/k818sQ4SyP
a thread ...
#TeachBE @mcmc_stan
Getting my slide deck ready for an online workshop based on my book in October. Watch this space! 😀
Link to book here: https://t.co/dTqqtHW5DS
#TeachBE #RStats @mcmc_stan
🚨New version of a working paper🚨
"Optimizing experiment design for estimating parametric models in economic experiments"
https://t.co/yIJkyNABEZ
#TeachBE
a thread ...
A new chapter of my free online book is available!
In this chapter, I show you how to estimate a QRE with cursed equilibrium
https://t.co/TBB9J5hMSB
#TeachBE #RStats @mcmc_stan
My next chapter for my book will be on estimating a QRE in a Bayesian game. I will use data from Magnani and Bochet (2024). Here is a sneak peak at a plot I use to do a quick prior calibration.
#RStats #TeachBE @mcmc_stan
🚩New version of a working paper now available!🚩
"Rounding the (Non)Bayesian Curve: Unraveling the Effects of Rounding Errors in Belief Updating" with Yaroslav Rosokha
https://t.co/04QHh3XwAS
A thread 👇👇
#Bayes #TeachBE @mcmc_stan
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