Is good decision-making a skill? https://forklightning.substack.com/p/is-good-decision-making-a-skill
People scoring higher on the Assignment Game (AG) have higher incomes …relationship holds even after controlling for IQ, other cognitive tests, education, demographics, and current occupation …on the same standardized scale, the association with income is more than twice as large for the AG than it is for IQ
https://static1.squarespace.com/static/60832ecef615231cedd30911/t/64feeb0bb19f326c3022c6a8/1694427916086/CDLW_AllocativeSkill_Sept2023.pdf
#ExperimentalEcon
Eliciting Moral Preferences Under Image Concerns: Theory and Evidence http://d.repec.org/n?u=RePEc:bon:boncrc:crctr224_2023_441&r=exp
.…show that image concerns affect the measurement of #moral preferences in ways that interact with the #elicitation method.… behavior will differ between direct and price-list mechanisms.… results argue for caution in interpreting standard estimates of moral preferences from experiments andcontingent-valuation surveys
#ExperimentalEcon
#ExperimentalEcon #elicitation #moral
Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions http://d.repec.org/n?u=RePEc:rco:dpaper:410&r=lab
"… strong evidence that both male & female participants who lost rather than won a tournament are less likely to enter a subsequent competition. Importantly,… women are less persistent than men after experiencing failure when they know that failure may have been the result of unfairness"
#ExperimentalEcon #LaborEconomics #meritocracy
#meritocracy #laboreconomics #ExperimentalEcon
Countering Gender-Typicality in Occupational Choices: An Information Intervention Targeted at Adolescents http://d.repec.org/n?u=RePEc:iso:educat:0207
"…an equivalent intervention featuring counter-stereotypical framing and male role models in typically female jobs in health and care does not increase men’s applications for those jobs. Thus, strategies that work for women—such as portraying role models—do not necessarily work for men."
#ExperimentalEcon #LaborEcon #gender
#gender #LaborEcon #ExperimentalEcon
Closing the Gender Gap in Salary Increases: Evidence from a Field Experiment on Promoting Pay Equity http://d.repec.org/n?u=RePEc:ajk:ajkdps:244&r=exp
… a simple modifications to the salary review process can make a key contribution toward achieving pay equity
#ExperimentalEcon #LaborEcon #GenderPayGap
#GenderPayGap #LaborEcon #ExperimentalEcon
Social Preferences under the Shadow of the Future http://d.repec.org/n?u=RePEc:rco:dpaper:406&r=exp
… high levels of cooperation can persist despite strategic incentives to defect when prosocial individuals interact in segregated groups
#ExperimentalEcon #BehavioralEconomics
#behavioraleconomics #ExperimentalEcon
I'll Try That, Too http://d.repec.org/n?u=RePEc:rco:dpaper:404&r=exp
"…finds a positive effect of the display promotion on unit sales, which is stronger for stores with high variety. …stronger promotion uplift for less popular products in stores with high variety on the display. This suggests that more variety may increase consumers’ willingness to try new products, when the financial risk is low"
#ExperimentalEcon
no #ChoiceOverload
#BehavioralEconomics
#behavioraleconomics #choiceoverload #ExperimentalEcon
Cooperativeness judgments of and by beautiful people http://d.repec.org/n?u=RePEc:gat:wpaper:2309&r=exp
Perceived beauty is one of the strongest predictors of perceived cooperativeness, causing the “#beautyBias”.
…demonstrates the robustness of the beauty bias despite its irrelevance for making accurate predictions.
…observes that individuals are affected by the beauty bias irrespective of their beauty.
#BoundedRationality #ExperimentalEcon
#ExperimentalEcon #BoundedRationality #beautybias
#Competition and #moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs http://d.repec.org/n?u=RePEc:zbw:ifwkie:272340&r=exp
… finds substantial design #heterogeneity—estimated to be about 1.6 times as large as the average standard error of effect size estimates of the 45 research designs—indicating that the informativeness and #generalizability of results based on a single experimental design are limited.
#ExperimentalEcon #generalizability #heterogeneity #moral #competition
Which #income comparisons matter to people, and how? http://d.repec.org/n?u=RePEc:fit:wpaper:10&r=exp
…shows "using dministrative and experimental data, that rank itself, both actual and believed, are strong predictors of lifetime #satisfaction.
…rank or #status within occupation or neighborhood or educational cohort is both salient and felt, whereas rank within some national distribution is an abstraction."
#ExperimentalEcon
#ExperimentalEcon #status #satisfaction #income
Time for Tea: Measuring Discounting for Money and Consumption without the Utility Confound http://d.repec.org/n?u=RePEc:cor:louvco:2023007&r=exp
…simple way to measure #discounting while side stepping the problems of utility curvature. … finding little evidence of decreasing #impatience but significant evidence of #subadditivity… may have important implications for the design of contracts or payment plans
#ExperimentalEcon
#ExperimentalEcon #subadditivity #impatience #discounting
The #Gender Reference Point Gap http://d.repec.org/n?u=RePEc:iza:izadps:dp16138&r=lab
… find that women make riskier choices less frequently than men… that women on average have a significantly lower reference point.
#ExperimentalEcon #RiskAversion
#riskaversion #ExperimentalEcon #gender
Does Artificial Intelligence Help or Hurt Gender Diversity? http://d.repec.org/n?u=RePEc:mos:moswps:2023-09&r=exp
the use of #AI in recruitment changes the gender distribution of potential hires, in some cases more than doubling the fraction of top applicants that are women. This change is generated by better outcomes for women in both supply and demand.
#jobtech #ExperimentalEcon #Discrimination
#discrimination #ExperimentalEcon #jobtech #ai
#SocialPreferences: fundamental characteristics & economic consequences http://d.repec.org/n?u=RePEc:zur:econwp:432&r=exp
…overview of the empirically identified characteristics of distributional preferences and how they are affected by merit, luck, and risk considerations as well as by concerns for equality of opportunity.… the majority of individuals have some sort of social preference while purely self-interested subjects are a minority
#ExperimentalEcon #BoundedRationality
#BoundedRationality #ExperimentalEcon #socialpreferences
Structural #Bayesian Techniques for Experimental and #BehavioralEconomics
https://jamesblandecon.github.io/StructuralBayesianTechniques/introduction.html
book draft by @jamesbland
#ExperimentalEcon #Econometrics
#econometrics #ExperimentalEcon #behavioraleconomics #bayesian
Overexertion of Effort under Working Time Autonomy and Feedback Provision http://d.repec.org/n?u=RePEc:iza:izadps:dp16028&r=exp
"… subjects provide significantly more costly effort beyond a level necessary to meet their performance targets in the presence of uncertainty, i.e., the absence of feedback, which suggests that feedback shields workers from overprovision of costly effort. "
#ExperimentalEcon #work
#Fairness and Arbitration Mechanisms
https://www.nowpublishers.com/article/Details/RBE-0164
"Using a utility function proposed by Fehr and Schmidt (1999) that includes #InequalityAversion, the model predicts that two risk-neutral disputants might not have the economic incentives to reach an agreement."
earlier version: https://core.ac.uk/download/pdf/77939779.pdf
#ExperimentalEcon
#ExperimentalEcon #inequalityaversion #fairness
Invisible hurdles: #Gender and institutional differences in the evaluation of #economics papers
https://onlinelibrary.wiley.com/doi/10.1111/ecin.13145
"…results suggest that male economists at top institutions benefit the most from non-blind evaluations, followed by female economists (regardless of their institution)."
#PeerReview #reputation #bias #ExperimentalEcon
#ExperimentalEcon #bias #reputation #PeerReview #economics #gender
Automating Automaticity: How the Context of Human Choice Affects the Extent of #AlgorithmicBias
https://bfi.uchicago.edu/wp-content/uploads/2023/02/BFI_WP_2023-19.pdf
automatic behavior seems to lead to more biased algorithms:
…users report more automatic behavior when scrolling through News Feeds (people interact with friends’ posts fairly automatically) than when scrolling through potential friends (people choose friends deliberately).
…leads to significant out-group #bias in the News Feed algorithm
#ExperimentalEcon
#discrimination
#discrimination #ExperimentalEcon #bias #algorithmicbias
When #merit breeds #luck (or not)
https://www.unive.it/pag/fileadmin/user_upload/dipartimenti/economia/doc/Pubblicazioni_scientifiche/working_papers/2023/WP_DSE_bernasconi_longo_maggian_02_23.pdf
"Leaving subjects under the #VeilOfIgnorance about their relative income position reduces selfish behavior. #InequalityAversion & #fairness mostly affect redistributive choices of impartial spectators when recipients of #redistribution are not informed about their initial endowments, suggesting that the luck vs. merit effect is not the only driver of redistribution on behalf of others."
#ExperimentalEcon
#ExperimentalEcon #redistribution #fairness #inequalityaversion #veilofignorance #luck #merit