Alejandro Hirmas

PhD Candidate in Economics at @UvA_Amsterdam & @ResearchTI || amateur boulderer

[Jan Engelmann @jbengelmann]

Excited to share our new paper in #ExperimentalEconomics with @AlejandroHirmas & @JoelvdWeele! We explore how #attention influences #decisionmaking, focusing on stimulus-driven vs. goal-directed attention. Read more: https://t.co/eZJr16bbAe

[Daniel Parra @Danielf_Parra]

🚨🖨️📰 Today is publication day! I have now published my short methodological paper on online lying experiments. It is open access and you can download it from this link: https://t.co/rimTbv4ZMH

[Maximiliano Escaffi @MaxEscaffi]

New Article! With Leon de Beer, @Leoni_25, Hans de Witte and @WilmarSchaufeli!
In this article we sought to investigate the psychometric properties of the Maslach Burnout Inventory (MBI)-General, one of the most widely used inventories to assess burnout: https://t.co/EdUKbkyUzP

[Alejandro Hirmas @AlejandroHirmas]

@NathLarigaldie @MetinBulus @David_Baranger If the idea is that the effect is positive for all x, then you should use the smallest x (or a lower bound). If not, the median x is a good opt. you can estimate the power for different quantiles and work something from there. Hope this is what you were looking for

[Alejandro Hirmas @AlejandroHirmas]

@NathLarigaldie @MetinBulus @David_Baranger In a linear regression, the marginal effect of x is b (dy/dx = b). In a cuadrratic equation it would be b1 + 2*x*b2. If I understood you correctly, your question is, what's your h0 for the power analysis? Then you need to choose the x in the marginal effect.

[Paolo Crosetto @PaoloCrosetto]

What works best to change diets: nutritional labels or price policies?

It's a part of the titanic battle pitching behavioral vs traditional economists: cues or incentives?

In our lab setting, labels win.

Working paper (with Muller, Ruffieux) https://t.co/amCAp7f6Tz

🧵:

[Alejandro Hirmas @AlejandroHirmas]

🚨Call for papers: Meta-analysis on the value of Algorithmic advice
We are conducting a meta-analysis assessing how people value advice and input given by algorithms. We refer to advice as a recommendation favoring or discouraging particular option(s).

[ECONtribute @ECON_tribute]

Cluster member and #YEPStudent @TillingAnna @UniBonn is on the #econjobmarket 2023/2024! Check out her #JMP about the effectiveness of carbon labels and the behavioral channels through which they influence behavior and find her thread on the paper below (1/8) ⬇️#EconTwitter:

[Chih-Chung Ting @ChihChungTing2]

✅New paper (with @NahuelSalem , @StePalminteri , @jbengelmann and @mael_lebreton) is now available online https://t.co/oWHCV6I5NJ

This time, we investigated the role of the ventromedial prefrontal cortex (VMPFC) and dorsomedial prefrontal cortex (DMPFC) in confidence formation.

[Alejandro Hirmas @AlejandroHirmas]

I wanted to share this great meta-analysis about willful ignorance done by my colleagues, Linh Vu, Ivan Soraperra, Margarita Leib, @JoelvdWeele and Shaul Shalvi.
https://t.co/m5LnKQGEaQ

[Ethan Mollick @emollick]

Fascinating: How good is GPT-4 as a peer reviewer?

A test on 4,800 Nature + ICLR papers finds AI reviewers overlap with human ones as much as humans overlap with with each other

Plus, 57% of authors find them helpful. A flawed but useful tool for authors https://t.co/Y7KqTNhhqm

[Ro'i Zultan @RoiZultan]

Are you an experimental economist going on the job market this year? Sign up to present in the ESA online job market seminar series.
https://t.co/7lhJHSnMfR

[Journal of Public Economics @JPubEcon]

Recently published paper in the @JPubEcon :

"Identity Breeds Inequality: Evidence from a Laboratory Experiment on Redistribution"
Vol 222 (June 2023)

by Urs Fischbacher, David Grammling, Jan Hausfeld (@JanHausfeld ), Vojtěch Zíka

https://t.co/AjmghO9ktj

[Alejandro Hirmas @AlejandroHirmas]

@susafiedler @LukaszWalasek @warwickuni @susafiedler the link shared is the address on your laptop. You might want to correct that :)

[Alejandro Hirmas @AlejandroHirmas]

Very happy with my experience presenting at #SPUDM2023 and #EGPROC2023. Thanks to the organising team for everything and to all the great presenters! So many interesting projects! Hope to see you all again soon!

[Susann Fiedler @susafiedler]

🥔 After a packed day at #spudm2023, early career researchers came together for some off-the-clock career insights. Thank you for the shared experiences from Shaul Shalvi, @mirjam_jenny, Bettina von Helversen, @ellenpetersjdm, & David Budescu and the fab moderation by @ashcherb!