Journal of Behavioral and Experimental Economics最新文献

How gender and prosociality affect machine interaction in tax compliance: A game-theoretic experiment

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-31 DOI: 10.1016/j.socec.2025.102369

Yutaro Murakami , Satoshi Taguchi

引用次数: 0

Anticipated regret and respondent uncertainty in assessing public preferences for air pollution treatment policies: A choice experiment

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-29 DOI: 10.1016/j.socec.2025.102368

Debin Zheng , Yulin Long , Yuehua Wei , Zhenyu Cai , Zhiwen Cheng , Changlin Ao

{"title":"Anticipated regret and respondent uncertainty in assessing public preferences for air pollution treatment policies: A choice experiment","authors":"Debin Zheng , Yulin Long , Yuehua Wei , Zhenyu Cai , Zhiwen Cheng , Changlin Ao","doi":"10.1016/j.socec.2025.102368","DOIUrl":"10.1016/j.socec.2025.102368","url":null,"abstract":"<div><div>Compared with the traditional utility maximization decision mechanism in choice experiments, the role of anticipated regret in choosing air pollution treatment policies has received limited attention, especially when respondent uncertainty is considered. This study explores the importance of the regret mechanism compared with the traditional utility mechanism while accounting for respondent uncertainty. The preference characteristics between the two classes of respondents who follow different decision mechanisms are examined. Moreover, the impact of neglecting respondent uncertainty on the assessment of public preferences and willingness to pay is analyzed. Results suggest that a regret-based behavioral framework is more appropriate for explaining the public's choice of air pollution treatment policies compared to a traditional utility-based framework. Anticipated regret is the main driver influencing the public's choice behavior. There is obvious heterogeneity in the preferences for air pollution treatment between the two classes of respondents who follow different decision mechanisms. Notably, ignoring respondent uncertainty leads to distortions in the willingness-to-pay estimates of attributes.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"116 ","pages":"Article 102368"},"PeriodicalIF":1.6,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Anticipatory effects of competition on confidence and risk preference

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-28 DOI: 10.1016/j.socec.2025.102367

Stephen L. Cheung , Vindesh Nadan

引用次数: 0

Happiness and willingness to compete

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-25 DOI: 10.1016/j.socec.2025.102365

Karl Overdick

引用次数: 0

Predicting prices of the US and G7 stock indices in uncertain times: Evidence from the application of a hybrid neural network

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-22 DOI: 10.1016/j.socec.2025.102366

Ahmed Bouteska , Taimur Sharif , Petr Hajek , Mohammad Zoynul Abedin

{"title":"Predicting prices of the US and G7 stock indices in uncertain times: Evidence from the application of a hybrid neural network","authors":"Ahmed Bouteska , Taimur Sharif , Petr Hajek , Mohammad Zoynul Abedin","doi":"10.1016/j.socec.2025.102366","DOIUrl":"10.1016/j.socec.2025.102366","url":null,"abstract":"<div><div>This study investigates the application of Artificial Neural Networks (ANNs) to forecast the one-day-ahead closing price of the US and G7 indices, and makes an extended analysis of three distinct periods, namely, the pre-2008 financial crisis (2003–2007), post-crisis recovery (2009–2016), and recent economic uncertainty (2017–2022). Unlike the traditional predictive approaches, our model distinguishes itself by utilizing a hybrid ANN-based architecture that integrates variable selection and forecasting stages. The proposed model consists of two main parts: selecting relevant input variables and developing a forecasting model. In the first part, an ANN-based variable selection model is utilized to identify significant input variables based on historical market conditions that reflect economic and psychological influences over the study period. These inputs are then refined by eliminating variables with low contributions, resulting in improved model performance. In the second part, we evaluate the impact of different training algorithms, hidden layer sizes, and training data distributions on the ANN's forecasting accuracy. The findings demonstrate that ANNs can effectively forecast the S&P 500 index's and G7 indices’ prices with high accuracy, particularly when employing the Levenberg-Marquardt algorithm with a simplified model architecture. Moreover, the expanded dataset covering three distinct periods has enabled us to test the model's stability and generalization across diverse market volatility and structural conditions. The study highlights the critical role of data volume in enhancing the model's performance, confirming that extensive training data is essential for capturing the complex dynamics of market behavior.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"116 ","pages":"Article 102366"},"PeriodicalIF":1.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Salience perception and dominated choices in contracts

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-21 DOI: 10.1016/j.socec.2025.102363

Mark Schneider , Cary Deck , Patrick DeJarnette

引用次数: 0

Mood and the malleability of moral reasoning: the impact of irrelevant factors on judicial decisions

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-17 DOI: 10.1016/j.socec.2025.102364

Daniel L. Chen , Markus Loecher

{"title":"Mood and the malleability of moral reasoning: the impact of irrelevant factors on judicial decisions","authors":"Daniel L. Chen , Markus Loecher","doi":"10.1016/j.socec.2025.102364","DOIUrl":"10.1016/j.socec.2025.102364","url":null,"abstract":"<div><div>Emotions are said to underlie moral decision-making. We detect intra-judge variation spanning three decades in 1.5 million judicial decisions driven by factors unrelated to case merits. U.S. immigration judges grant an additional 1.4 % points of asylum petitions–and U.S. district judges assign 0.6 % points fewer prison sentences and 5 % longer probation sentences—on the day after their city's NFL team won, relative to days after the team lost. Bad weather has the opposite effect of a team win. Unrepresented parties in asylum bear the brunt of NFL effects. The effect on district judges only appears for judges born in the same state as the current state of residence, providing clean evidence of extraneous influences on judge decision-making as opposed to lawyer or applicant behavior.</div><div>Moving beyond OLS, we utilize models from machine learning to estimate the sentence length relative to the sentencing guideline. We find that while several appropriate features predict sentence length, such as details of the crime committed, other features seemingly unrelated, including daily temperature, sport game scores, and location of trial, are predictive as well. The predictive power of the unrelated events is derived from the permutation based variable importance score in random forests. We address recent criticism of the reliability of these scores with double residualization.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"116 ","pages":"Article 102364"},"PeriodicalIF":1.6,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143726022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Testing models of complexity aversion

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-11 DOI: 10.1016/j.socec.2025.102354

Konstantinos Georgalos, Nathan Nabil

引用次数: 0

Revisiting the Dunning-Kruger effect: Composite measures and heterogeneity by gender

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-07 DOI: 10.1016/j.socec.2025.102362

Anna Adamecz , Radina Ilieva , Nikki Shure

{"title":"Revisiting the Dunning-Kruger effect: Composite measures and heterogeneity by gender","authors":"Anna Adamecz , Radina Ilieva , Nikki Shure","doi":"10.1016/j.socec.2025.102362","DOIUrl":"10.1016/j.socec.2025.102362","url":null,"abstract":"<div><div>The Dunning-Kruger effect (DKE) states that people with lower levels of the ability tend to self-assess their ability less accurately than people with relatively higher levels of the ability. Thus, the correlation between one's objective cognitive abilities and self-assessed abilities is higher at higher levels of objective cognitive abilities. There has been much debate as to whether this effect actually exists or is a statistical artefact. This paper replicates and extends Gignac and Zajenkowski (2020) and Dunkel, Nedelec, and van der Linden (2023) to test whether the DKE exists using several measures of ability and nationally representative data from a British birth cohort study. To do this, we construct a measure of objective cognitive abilities using 18 tests conducted at ages 5, 10, and 16, and a measure of subjective self-assessed abilities using estimates of school performance and being clever at ages 10 and 16. We replicate their models and show that the DKE exists in our secondary data. Importantly, we are the first to look at whether this relationship is heterogeneous by gender and find that while the self-assessment bias is gender specific, the DKE is not. The DKE comes from men relatively overestimating and women relatively underestimating their abilities.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"116 ","pages":"Article 102362"},"PeriodicalIF":1.6,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Women don't avoid competition, they avoid competing against men: Experimental evidence from Kenya

IF 1.6 3区经济学

Journal of Behavioral and Experimental Economics Pub Date : 2025-03-03 DOI: 10.1016/j.socec.2025.102353

Maliheh Paryavi, Francisco Campos, Indhira Santos

{"title":"Women don't avoid competition, they avoid competing against men: Experimental evidence from Kenya","authors":"Maliheh Paryavi, Francisco Campos, Indhira Santos","doi":"10.1016/j.socec.2025.102353","DOIUrl":"10.1016/j.socec.2025.102353","url":null,"abstract":"<div><div>This study examines gender differences in competitive behavior in Kenya using a series of laboratory experiments. The control condition was designed to assess the baseline competitive behavior in a mixed-gender competitive environment in a stereotypical male domain. To further understand the role of mixed-gender competitive environment on women's competition behavior, the control condition was replicated with women facing only other women as competitors. The paper also examines gender differences in competition in a high-stakes environment, where the control condition was replicated, but financial stakes were increased by a factor of ten. The study finds significant differences in competition entry between men and women in both the control and high-stakes conditions. These are largely driven by gender differences in preferences for competing in the control condition, and differences in risk and feedback aversion when the stakes are high. Women in the women-only treatment were significantly more competitive than women in the control condition and just as competitive as men in the control condition. Our findings suggest that women do not avoid competition; they avoid competing against men.</div></div>","PeriodicalId":51637,"journal":{"name":"Journal of Behavioral and Experimental Economics","volume":"116 ","pages":"Article 102353"},"PeriodicalIF":1.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0