Relevant bibliographies by topics / Behavioral Bias

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Behavioral Bias'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 June 2025

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Journal articles on the topic "Behavioral Bias"

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Gigerenzer, Gerd. "The Bias Bias in Behavioral Economics." Review of Behavioral Economics 5, no. 3-4 (2018): 303–36. http://dx.doi.org/10.1561/105.00000092.

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Nkukpornu, Etse, Prince Gyimah, and Linda Sakyiwaa. "Behavioural Finance and Investment Decisions: Does Behavioral Bias Matter?" International Business Research 13, no. 11 (2020): 65. http://dx.doi.org/10.5539/ibr.v13n11p65.

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This paper examines the nexus between behavioural bias and investment decisions in a developing country context. Specifically, this study tests the effect of four behavioural biases (overconfidence, regret, belief, and “snakebite”) on investment decisions. Descriptive statistics and inferential statistics including multiple regression are used to examine the behavioural biases-investment decisions nexus. The study reveals that the four bias have a significant positive and robust relationship with investment decision making. The result also shows that the "snakebite" effect contributes more to the decision making, followed by belief bias then regret bias. Overconfidence bias, however, contributes the least effect on investment decisions. Our contribution confirms the prospect theory and that behavioural bias influences investment decisions in the developing country perspective. 
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Handriani, Eka Handriani. "Behavioral Bias Investors in Indonesia." Jurnal Riset Akuntansi dan Keuangan 13, no. 1 (2025): 1363–80. https://doi.org/10.17509/jrak.v13i1.80576.

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The purpose of this study is to examine the impact of behavioral biases (risk-aversion bias; overconfidence bias; disposition bias; and herding bias) on gender-based Invesment decisions. Also attempts to empirically prove the mediating influence of financial literacy in the relationships between behavioral biases and gender-based Invesment decisions.This study data was collected using a questionnaire from 329 Investors in Indonesia in seven cities, including Jakarta, Semarang, Surabaya, Bandung, Medan, Palembang, and Samarinda. The results reveal that among male Investors, risk-aversion bias and herding bias have a negative and significant impact on the invesmentdecisions; the overconfidence bias has a positive and significant impact on the invesmentdecisions; and however, the disposition bias has no significant. Among female Investors the risk-aversion bias and herding bias have a negative and significant impact on the invesmentdecisions; while the overconfidence bias and disposition bias have no significant impact on the invesmentdecisions. Among the male Investors , the financial literacy also has a significant impact on the influence of overconfidence bias on invesmentdecisions. However, the financial literacy has no significant impact on the remaining three biases, including the risk-aversion bias, disposition bias, and herding bias. Among the female Investors , the financial literacy has a significant impact on all overconfidence bias, risk-aversion bias, disposition bias and herding bias.
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Feldman, Todd. "The Most Destructive Behavioral Bias." Journal of Investing 21, no. 2 (2012): 49–56. http://dx.doi.org/10.3905/joi.2012.21.2.049.

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MENG, Zhenzhen, Fuming XU, Shixiao KONG, Haijun LI, and Peng XIANG. "Ratio Bias in Behavioral Decision." Advances in Psychological Science 21, no. 5 (2013): 886–92. http://dx.doi.org/10.3724/sp.j.1042.2013.00886.

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Patel, Chirag B. "The Most Destructive Behavioral Bias." CFA Digest 42, no. 4 (2012): 15–17. http://dx.doi.org/10.2469/dig.v42.n4.44.

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Stamps, J. A. "Density bias in behavioral ecology." Behavioral Ecology 22, no. 2 (2011): 231–32. http://dx.doi.org/10.1093/beheco/arq174.

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Alpaca Salvador, Hugo Antonio, and Angel Polo Campos. "Behavioral Economics: Behavioral Model Proposal in the HealthSector." SCIÉNDO 26, no. 1 (2023): 13–23. http://dx.doi.org/10.17268/sciendo.2023.002.

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This research proposes a behavioral model that would allow society to modify its behavior towards preventive health, looking for adequate components based on behavioral economics. The investigated problem was: how to modify the current behavior of the users in the health services in Trujillo? The population consisted of patients who used health services before the start of the covid-19 pandemic, being 884,700 people. The methodology used was a cross-sectional descriptive research, divided into four stages: Determination of the level of knowledge in health, Measurement of cognitive bias, Determination of the key factors that generate cognitive bias; and, Structuring of the behavioral model. The results found to elaborate a behavioral proposal were that there is a cognitive bias, mainly in preventive physical health and in the health of physical controls, in turn the factors that must be modified in behavior are: overconfidence, aversion to loss, availability heuristics, anchoring, present bias, ego depletion, and social norms; while the factors that should only be reinforced in the behavioral model are: status quo, framing and affect heuristics
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Vuong, Quan Duc Hoang, and Phuc Quy Dao. "AN EMPIRICAL STUDY OF INDIVIDUAL INVESTORS’ BEHAVIORAL BIASES IN THE VIETNAMESE STOCK MARKET." Science and Technology Development Journal 15, no. 1 (2012): 5–13. http://dx.doi.org/10.32508/stdj.v15i1.1779.

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The study aims to determine individual investors’ behavioral biases at individual level in the Vietnamese stock market and investigate the relationships between mutual behavioral biases, between demographic variables and behavioral biases, between stock investment variables and behavioral biases. This is a quantitative research in behavioral finance with the survey conducted in forms of questionnaire. Each question is a problem which requires investors to make decision. The research finds out that there are specific behavioral biases which influence investors’ investment decisions. Furthermore, there are relationships between gender and illusion of control bias, gender and optimism bias, gender and self-control bias. We also realize relationships between average value per trading times and investment experience, average value per trading times and loss aversion bias, trading frequency and optimism bias, investment experience and optimism bias, monthly income and optimism, age and cognitive dissonance bias. Our findings confirm relationships between mutual behavioral biases mentioned in behavioral finance such as relationships between framing bias and mental accounting bias, illusion of control bias and overconfidence bias. Additionally, we find out relationships between ambiguity aversion bias and confirmation bias.
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De Houwer, Jan. "Implicit Bias Is Behavior: A Functional-Cognitive Perspective on Implicit Bias." Perspectives on Psychological Science 14, no. 5 (2019): 835–40. http://dx.doi.org/10.1177/1745691619855638.

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Implicit bias is often viewed as a hidden force inside people that makes them perform inappropriate actions. This perspective can induce resistance against the idea that people are implicitly biased and complicates research on implicit bias. I put forward an alternative perspective that views implicit bias as a behavioral phenomenon. more specifically, it is seen as behavior that is automatically influenced by cues indicative of the social group to which others belong. This behavioral perspective is less likely to evoke resistance because implicit bias is seen as something that people do rather than possess and because it clearly separates the behavioral phenomenon from its normative implications. Moreover, performance on experimental tasks such as the Implicit Association Test is seen an instance of implicitly biased behavior rather than a proxy of hidden mental biases. Because these tasks allow for experimental control, they provide ideal tools for studying the automatic impact of social cues on behavior, for predicting other instances of biased behavior, and for educating people about implicitly biased behavior. The behavioral perspective not only changes the way we think about implicit bias but also shifts the aims of research on implicit bias and reveals links with other behavioral approaches such as network modeling.
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Dissertations / Theses on the topic "Behavioral Bias"

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Whang, Chloe. "Simultaneity Bias in Campaign Spending Games." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/770.

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In this paper, I replicate Erikson and Palfrey (2000) who propose that the simultaneity problem in measuring the effects of candidate spending can be resolved by restricting the sample to close elections. Vote-on-spending effects, which vary with the expected closeness of the election outcome in a systematic way, determine the extent of simultaneity bias. The simultaneity bias becomes progressively more severe as the anticipated vote margin decreases, plaguing the estimates of spending-on-vote effects on the full sample. In the range of a 50-50 expected vote, however, the vote-on-spending effects approach zero. Thus, by restricting the sample to extremely close races, I obtain unbiased estimates of candidate spending effects. I then extend their model using data that includes elections that took place after a pair of major campaign finance reforms: the Bipartisan Campaign Reform Act of 2002 and the Citizens United v. Federal Election Commission ruling of 2010. The BCRA heightens the perceived effectiveness of candidate spending by removing the hidden substitute for candidates’ campaign funds, namely, soft money. After the Citizens United ruling, however, as soft money starts to play a crucial role in electoral campaigns, candidates’ own funds matter less. The ruling appears to amplify incumbency advantage, perhaps because incumbents take advantage of their non-monetary incumbency benefits to attract soft money donations. This paper contributes to the ongoing debate in academia over the causal connection between candidate spending and vote share by presenting evidence that campaign spending has significant effects on election outcomes.
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Gretton, Jeremy David. "Perceived Breadth of Bias as a Determinant of Bias Correction." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1499097376679535.

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Ståhl, Michael. "Att uppfinna ett nytt hjul eller att fastna i gamla hjulspår : En studie i priming av användbarhet och originalitet vid idéskapande." Thesis, Karlstads universitet, Institutionen för sociala och psykologiska studier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-27676.

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Syftet med studien var att undersöka priming med exempels påverkan på skapelsers kreativitet. Effekterna av priming skulle testas i formen av egenskapspriming såväl som konceptuell priming och mätas utifrån både en användbarhetsaspekt och en originalitetsaspekt. Ett delsyfte var också att undersöka sambandet mellan intresset för att ta fram en skapelse och en skapelses grad av originalitet samt användbarhet. Primingeffekterna prövades genom ett experiment där 36 studenter delades in i 3 grupper som fick i uppgift att ta fram IT-lösningar för kollektivtrafiken. 2 av grupperna primades med var sitt exempel på hög originalitet respektive hög användbarhet. Effekterna av egenskapspriming undersöktes sedan genom en jämförelse mellan grupperna över hur stor andel av de framtagna lösningarna som innehöll egenskaper från exemplen. För att undersöka effekterna av konceptuell primingen gjordes en jämförelse av originaliteten och användbarhet hos dessa gruppers lösningar jämfört med de framtagna av en kontrollgrupp utan tillgång till exempel. Lösningarnas originalitet och användbarhet bedömdes av en expertgrupp bestående av forskare inom kreativitet och branschaktiva inom området. Denna expertgrupp bedömde även sitt intresse för att ta fram de olika lösningarna. Denna bedömning tillsammans med de två tidigare användes för att undersöka sambandet mellan intresset för en lösning och lösningens originalitet respektive användbarhet. Resultatet av studien visade på ett signifikant positivt samband hos båda grupperna av bedömare mellan en lösnings användbarhet och intresset för att ta fram lösningen. Ett signifikant positivt samband gällande en lösnings originalitet och intresset för denne kunde dock endast uppvisas hos forskare medan de branschaktiva visade på ett osignifikant negativt samband mellan de två. Resultatet av egenskapspriming och konceptuell priming visade inte överlag på några signifikanta skillnader mellan grupperna. Studien anses vara av vikt då den visar på hur en ökning av kreativiteten på skapelser inom en organisation inte behöver betyda en ökning av organisationens kreativitet p.g.a. ointresset i att omfamna och satsa på dessa lösningar. Vidare visar studien på hur primingeffekter är svåra att skapa i situationer som i högre grad ska efterlikna de i verkliga livet och hur vidare forskning behövs på området för att kartlägga variabler som påverkar priming och primings begränsningar.<br>The aim of the study was to examine priming with example’s impact on ideas creativity, regarding usability and novelty both as a result of targeting priming and conceptual priming. A subsidiary aim was to examine the relationship between an idea’s degree of originality and usefulness and the interest in pursuing the idea. The effects of priming were tried in an experiment involving 36 students who were asked to develop IT solutions for public transport. The students were randomly divided into two experimental groups and one control group. The members of the experimental group were primed with an example with high originality respectively usability. The solutions were given two indexes on how many of the properties of respective examples were found in the solutions. Their degree of originality and usefulness were also assessed by a group of experts. This group also assessed their interest in the respective solution. The study revealed a significant positive correlation between a solution's usability and interest of the solution. A positive significant correlation could also be seen between a solution's originality and the interest of the solution, but only in the group of analysts consisting of scientists. Among the industry-experts the results instead pointed toward a negative relationship between originality and interest, although a non-significant relationship. There were no significant differences between the group’s solutions regarding their degree of originality and usefulness nor the frequency in which features from the example was found in the solutions. The study is of importance because it shows how increases in the creativity of solutions produced by individuals and employees not necessarily lead to an increase in the creativity of an organization, due to lack of interest in embracing and invest in these creative solutions. The study also reflects the difficulties in transferring priming effects discovered in a lab environment to situations that more closely resembles those in real life. Further research is necessary to broaden the knowledge regarding variables that affects priming and the limits between which priming exist.
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Weafer, Jessica Jane. "ATTENTIONAL BIAS AND ALCOHOL ABUSE." UKnowledge, 2012. http://uknowledge.uky.edu/psychology_etds/6.

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Selective attention towards alcohol-related cues (i.e., “attentional bias”) is thought to reflect increased incentive motivational value of alcohol and alcohol cues acquired through a history of heavy alcohol use, and as such attentional bias is considered to be a clinically relevant factor contributing to alcohol use disorders. This dissertation consists of two studies that investigated specific mechanisms through which attentional bias might serve to promote alcohol abuse. Study 1 compared magnitude of attentional bias in heavy (n = 20) and light (n = 20) drinkers following placebo and two doses of alcohol (0.45 g/kg and 0.65 g/kg). Heavy drinkers displayed significantly greater attentional bias than did moderate drinkers following placebo. However, heavy drinkers displayed a dose-dependent decrease in response to alcohol. Individual differences in attentional bias under placebo were associated with both self-reported and laboratory alcohol consumption, yet bias following alcohol administration did not predict either measure of consumption. These findings suggest that attentional bias is strongest before a drinking episode begins, and as such might be most influential in terms of initiation of alcohol consumption. Study 2 addressed theoretical accounts regarding potential reciprocal interactions between attentional bias and inhibitory control that might promote excessive alcohol consumption. Fifty drinkers performed a measure of attentional bias and a novel task that measures the degree to which alcohol-related stimuli can increase behavioral activation and reduce the ability to inhibit inappropriate responses. As hypothesized, inhibitory failures were significantly greater following alcohol images compared to neutral images. Further, heightened attentional bias was associated with greater response activation following alcohol images. These findings suggest that alcohol stimuli serve to disrupt mechanisms of behavioral control, and that heightened attentional bias is associated with greater disruption of control mechanisms following alcohol images. Taken together, these studies provide strong evidence of an association between attentional bias in sober individuals and alcohol consumption, suggesting a pronounced role of attentional bias in initiation of consumption. Further, findings show that attention to alcohol cues can serve to disrupt mechanisms of inhibitory control that might be necessary to regulate drinking behavior, suggesting a potential means through which attentional bias might promote consumption.
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Sinkey, Michael. "Three Essays in Behavioral Finance." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306356468.

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Mora, Morrison Sebastian, and Marcus Thulin. "Overconfidence och confirmation bias på kryptovalutamarknaden : En explorativ studie om privata kryptoinvesterares syn på psykologiska bias." Thesis, Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-149284.

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BAKGRUND: Kryptovalutor saknar de makroekonomiska faktorer som ligger till grund för prissättningen av vanliga valutor. Istället visar forskning att spekulativ handel och trendsökande handlare är vanligt förekommande och att det bidrar till ökad volatilitet på marknaden. Forskning visar också att overconfidence och confirmation bias bidrar med såväl ökad volatilitet som påverkan på investeringars resultat. Kunskapen om psykologiska bias och hanteringen av dem kan få stora konsekvenser på resultatet men hur privata kryptoinvesterare ser på dem är fortfarande ett outforskat ämne. SYFTE: Syftet med uppsatsen är att undersöka och analysera hur väl privatsparare på kryptovalutamarknaden känner till overconfidence och confirmation bias, vilka erfarenheter de har och vilka åtgärder de gör för att hantera dessa bias. GENOMFÖRANDE: Studien har genomförts genom kvalitativa intervjuer med åtta privata kryptoinvesterare. Intervjuerna har utgått från en intervjumall konstruerad för att på djupet kunna ta del av respondenternas kunskaper och erfarenheter. Intervjun har även inkluderat ett test för overconfidence för att möjliggöra för respondenternas egna reflektioner kring sin egen eventuella overconfidence.   SLUTSATS: Studien visar att den teoretiska kunskapen om overconfidence och confirmation bias är låg men att den erfarenhetsbaserade kunskapen är hög. Vad gäller hanteringen av risk och psykologiska bias ligger inte respondenternas strategier i linje med forskningen men marknadens säregna egenskaper möjliggör för ekonomisk vinning i utnyttjandet av andra investerares bias.
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Ard, Carter. "Eliminating Sex Bias through Rater Cognitive Processes Training." TopSCHOLAR®, 1988. https://digitalcommons.wku.edu/theses/2122.

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The success of Rater Cognitive Processes Training as a strategy for eliminating sex bias in ratings of performance in a physically demanding job was investigated in the present study. One hundred undergraduate students from a mid -sized regional university served as subjects. The independent variables were type of training and sex of the ratee. resulting in a two by two factorial design. The dependent variable was the performance ratings assigned by the subjects. Subjects in the experimental condition were trained to recognize the important dimensions of performance for the lob of feed handler and received one Practice/feedback session. Subjects in the control condition completed a case study exercise in lieu of training. All subjects then viewed a videotape showing a feed handler moving and stacking what appeared to be 25 lb. bags, and afterward assigned ratings using a graphic rating scale. An ANOVA revealed a significant main effect for sex (p < .026 , and a significant main effect for training (p < .013). The interaction between sex and training was not significant. Results indicated that Rater Cognitive Processes Training was not effective in eliminating sex bias. Instead. a clear contrast effect emerged. Potential implications of this study and future research directions are subsequently explored.
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Wallace, Wayne A. "The Effect of Confirmation Bias in Criminal Investigative Decision Making." Thesis, Walden University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3687475.

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<p> Confirmation bias occurs when a person believes in or searches for evidence to support his or her favored theory while ignoring or excusing disconfirmatory evidence and is disinclined to change his or her belief once he or she arrives at a conclusion. The purpose of this quantitative study was to examine whether emotionally charged evidence and evidence presentation order could influence an investigator's belief in a suspect's guilt. The study included 166 sworn police officers (basic training recruits, patrol officers, and criminal investigators) who completed online surveys in response to criminal vignettes across different scenarios to record their measure of guilt belief. Analysis of variance was used to assess the relationship between the 3 independent variables: duty assignment (recruit, patrol, investigator), scenario condition (child and adult sexual assault), and evidence presentation order (sequential, simultaneous, reverse sequential). The dependent variable was confirmation bias (Likert-scaled 0&ndash;10 guilt judgment). According to the study results, confirmation bias was least evident in criminal investigators with more experience and training, and both emotion and evidence presentation order can influence guilt judgment. The findings generalize to criminal investigators and attest to the importance of working to include and exclude suspects and to withhold judgment until all available evidence is analyzed. Investigators benefit from this study and through their improved decision making, society benefits as well. This study will contribute to the need for professional dialogue concerning objective fact finding by criminal investigators and avoiding incidents of wrongful conviction.</p>
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Roach, Lisa N. "Examining Gender Bias in Children's Video Games." Ohio University Honors Tutorial College / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1399981766.

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Calamaras, Martha R. "Evaluating Changes in Attentional Biases following Cognitive Behavioral Therapy for Social Phobia." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/psych_theses/79.

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The purpose of the current study was to evaluate changes in attentional biases following CBT for Social Phobia. It was found that 1.) consistent with previous investigations, the overall sample displayed vigilance toward threatening facial stimuli prior to receiving treatment, and 2.) participants’ pattern of responding to threatening facial stimuli changed following treat-ment, but only when the sample was divided into those who were vigilant and those who were avoidant prior to treatment. Findings provide support for the presence of two distinct sub-groups with differing attentional styles, one with a tendency for vigilance toward social threats, and a second with a tendency to avoid threat cues. These findings have important implications for how individuals may differentially respond to treatment and may help explain some of the mixed findings in the extant literature on Social Phobia and attention bias.
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Books on the topic "Behavioral Bias"

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Goetzmann, William N. Disposition matters: Volume, volatility and price impact of a behavioral bias. National Bureau of Economic Research, 2003.

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Rosnow, Ralph L. People studying people: Artifacts and ethics in behavioral research. W.H. Freeman, 1997.

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Kumar, Sameer, Tanusree Dutta, and Manas K. Mandal. Bias in human behavior. Nova Science Publisher's, 2012.

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Stanford, Shannon, and Chanelle Wilson. Systems of Thought and Behaviors Within Bias and Inequity. SAGE Publications, Inc., 2022. http://dx.doi.org/10.4135/9781071900536.

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Hanushek, Eric Alan. School quality, achievement bias, and dropout behavior in Egypt. World Bank, 1994.

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Court, Massachusetts Supreme Judicial. Eliminating the barriers: Guide to bias-free behavior in the Massachusetts courts. Supreme Judicial Court, 1996.

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Rudi, Nils. Observation bias: The impact of demand censoring on newsvendor level and adjustment behavior. Harvard Business School, 2011.

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Larcinese, Valentino. Partisan bias in economic news: Evidence on the agenda-setting behavior of u.s. newspapers. National Bureau of Economic Research, 2007.

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Larcinese, Valentino. Partisan bias in economic news: Evidence on the agenda-setting behavior of U.S. newspapers. National Bureau of Economic Research, 2007.

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Buluxiao, A. L. Gai shan xue sheng ke tang biao xian de 50 ge fang fa: Xiao ji qiao huo de da gai bian = 50 ways to improve student behavior. Zhong guo qing nian chu ban she, 2010.

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Book chapters on the topic "Behavioral Bias"

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Flyvbjerg, Bent. "Behavioral bias." In The Handbook of Project Management, 6th ed. Routledge, 2024. http://dx.doi.org/10.4324/9781003274179-36.

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Foad, Hisham. "Familiarity Bias." In Behavioral Finance. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118258415.ch15.

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Lehr, Brandon. "Present Bias." In Behavioral Economics. Routledge, 2021. http://dx.doi.org/10.4324/9780367854072-7.

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Wideman, Timothy H., Michael J. L. Sullivan, Shuji Inada, et al. "Bias." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_989.

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Turner, J. Rick. "Bias." In Encyclopedia of Behavioral Medicine. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_989.

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LaCaille, Lara, Anna Maria Patino-Fernandez, Jane Monaco, et al. "Ecologic Bias." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100528.

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Molina, Kristine M., Kristine M. Molina, Heather Honoré Goltz, et al. "Response Bias." In Encyclopedia of Behavioral Medicine. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1067.

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Mellenbergh, Gideon J. "Situational Bias." In Counteracting Methodological Errors in Behavioral Research. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12272-0_6.

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Lehr, Brandon. "Market & Policy Responses to Present Bias." In Behavioral Economics. Routledge, 2021. http://dx.doi.org/10.4324/9780367854072-9.

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Powell, Lynda H., Peter G. Kaufmann, and Kenneth E. Freedland. "Hypothesized Pathway and Bias." In Behavioral Clinical Trials for Chronic Diseases. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-39330-4_4.

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Conference papers on the topic "Behavioral Bias"

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Das, Tapas, Saidia Jeelani, Seshanwita Das, Pratibha Giri, and Arnab Chatterjee. "Human Bias in Algorithmic Trading: Evaluating Behavioral Finance Impacts on Automated Systems." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877548.

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Sicilia, Anthony, and Malihe Alikhani. "Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors." In Proceedings of the Third Workshop on NLP for Positive Impact. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.nlp4pi-1.19.

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Patadia, Arshey, Shankar Baliga, and Kyle Ward. "2.6um Extended InGaAs pin Photodiode With High Shunt Resistance and Improved Linearity for Spectroscopy." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.am1j.1.

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The extended 2.6 µm InGaAs p-i-n detector discussed, can be operated under reverse bias with guaranteed linear behavior at higher operating voltages. We demonstrate improved detection of CO2 gas and Low-Density Polyethylene using this detector.
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Lee, Joo-Eun, and Kyung-Ja Oh. "The influence of worry on attentional bias for uncertainty." In Annual International Conference on Cognitive and Behavioral Psychology. Global Science and Technology Forum (GSTF), 2012. http://dx.doi.org/10.5176/2251-1865_cbp45.

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Elizabeth, J., W. R. Murhadi, and B. S. Sutejo. "Investor Behavioral Bias Based on Demographic Characteristics." In Proceedings of the 17 th International Symposium on Management (INSYMA 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200127.002.

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Abdollahian, Mark, Zining Yang, and Patrick deWerk Neal. "How partial behavioral networks drive econometric bias and inefficiency." In 2017 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2017. http://dx.doi.org/10.1109/iccnc.2017.7876256.

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Scalera, Francesco. "Financial Market Anomalies And Behavioral Biases: Implications Of Overconfidence Bias." In Joint Conference ISMC 2018-ICLTIBM 2018 - 14th International Strategic Management Conference & 8th International Conference on Leadership, Technology, Innovation and Business Management. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.01.02.23.

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Worku, Zena, Taryn Bipat, David W. McDonald, and Mark Zachry. "Exploring Systematic Bias through Article Deletions on Wikipedia from a Behavioral Perspective." In OpenSym 2020: 16th International Symposium on Open Collaboration. ACM, 2020. http://dx.doi.org/10.1145/3412569.3412573.

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De Stefano, M., S. Grivet-Talocia, T. Bradde, and A. Zanco. "A Framework for the Generation of Guaranteed Stable Small-Signal Bias-Dependent Behavioral Models." In 2018 13th European Microwave Integrated Circuits Conference (EuMIC). IEEE, 2018. http://dx.doi.org/10.23919/eumic.2018.8539900.

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Kuc, Alexander, and Vladimir Maksimenko. "The influence of perception bias on behavioral characteristics during the interpretation of bistable sensory information." In 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA). IEEE, 2023. http://dx.doi.org/10.1109/dcna59899.2023.10290654.

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Reports on the topic "Behavioral Bias"

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Goetzmann, William, and Massimo Massa. Disposition Matters: Volume, Volatility and Price Impact of a Behavioral Bias. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9499.

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Kahou, Mahdi, Jesús Fernández-Villaverde, Sebastian Gomez-Cardona, Jesse Perla, and Jan Rosa. Spooky Boundaries at a Distance: Inductive Bias, Dynamic Models, and Behavioral Macro. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32850.

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Treadwell, Jonathan R., Amy Y. Tsou, Benjamin Rouse, et al. Behavioral Interventions for Migraine Prevention. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer270.

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Objectives. Behavioral interventions for migraine prevention can offer an important alternative or complement to medications. An updated systematic review is needed to support evidencebased guidance for clinicians and identify evidence gaps for future research. Data Sources. MEDLINE, Embase, PsycINFO, PubMed, the Cochrane Database of Systematic Reviews, clinicaltrials.gov, and grey literature sources for randomized trials published from January 1, 1975, to August 24, 2023. Review Methods. A multidisciplinary expert panel including adult and pediatric clinical psychologists, adult and pediatric neurologists, primary care physicians, researchers, funders, children and adults with migraine and their caregivers provided input on scope and methods. We included randomized trials enrolling at least 80% participants with migraine (or outcomes for migraine participants reported separately) and reporting a primary outcome at 4 weeks or more after the start of treatment. Primary outcomes were migraine/headache attack frequency, migraine disability, and migraine-related quality of life. We did not require a formal diagnosis of migraine (i.e., International Classification of Headache Disorders criteria). The review team tabulated information from included trials, rated risk of bias, conducted pairwise meta-analyses, and rated the strength of evidence (SOE). The SOE is a formal rating of the reviewer’s confidence in the estimated effects. Results. For adults, we included 50 trials published since 1978. Most preventive interventions were multicomponent, using one or more of five primary components (cognitive behavioral therapy [CBT], biofeedback, relaxation training, mindfulness-based therapies, and/or education). Most trials were at high risk of bias, primarily due to measurement bias and incomplete data. Given the small amount of evidence on any given intervention/comparator/outcome combination, data were often insufficient to permit conclusions. For adults, we found that any of three components (CBT, relaxation training, mindfulness-based therapies) may reduce migraine/headache attack frequency (SOE: low). Education alone that targets behavior may improve migraine-related disability (SOE: low). For three other interventions (biofeedback, acceptance and commitment therapy, and hypnotherapy), evidence was insufficient to permit conclusions. We also found that mindfulness-based therapy may improve migraine disability more than education, and relaxation + education may improve migraine-related quality of life more than propranolol (SOE: low). For children/adolescents, we included 13 trials published since 1984 (average age 14.5), but the evidence was only sufficient to conclude that CBT + biofeedback + relaxation training may reduce migraine attack frequency and disability more than education alone (SOE: low). Conclusion. Several behavioral interventions appear to reduce migraine/headache attack frequency in adults. Evidence consisted primarily of underpowered trials of multicomponent interventions compared with various types of control groups. Future research should enroll children and adolescents, standardize intervention components to improve reproducibility, use comparison groups that control for expectation confounds, enroll larger samples, consider digital and telehealth modes of care delivery, and improve the completeness of data collection.
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Bernal, Pedro, Giuliana Daga, and Florencia Lopez Boo. Do Behavioral Drivers Matter for Healthcare Decision-making in Times of Crisis?: A study of Low-Income Women in El Salvador During the COVID-19 Pandemic. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005094.

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Understanding health-seeking behaviors and their drivers is key for governments to manage health policies. There is a growing literature on the role of cognitive biases and heuristics in health and care-seeking behaviors, but little is known of how they might be influenced during a context of heightened anxiety and uncertainty. This study analyzes the relationship between four behavioral predictors the internal locus of control, impatience, optimism bias, and aspirations and healthcare decisions among low-income women in El Salvador. We find positive associations between internal locus of control and preventive health behaviors during the COVID-19 pandemic (use of masks, distance, hand washing, and COVID-19 vaccination) and in general (prenatal checkups, iron-rich diets for children and hypertension tests). Measures of impatience negatively correlate with COVID-19 prevention behaviors and mothers micronutrient treatment adherence for children, and optimism bias and educational aspirations with healthcare-seeking behaviors during the COVID-19 pandemic. Some associations were more robust during the pandemic, suggesting that feelings of uncertainty and stress could enhance behavioral drivers influence on health-related behaviors, a novel and relevant finding in the literature relevant for the design of policy responses for future shocks.
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Barahona, Ricardo, Stefano Cassella, and Kristy A. E. Jansen. Do Teams Alleviate or Exacerbate the Extrapolation Bias in the Stock Market? Banco de España, 2023. http://dx.doi.org/10.53479/35522.

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We investigate how teams impact return extrapolation, a bias in belief formation which is pervasive at the individual level and crucial to behavioral asset-pricing models. Using a sample of US equity money managers and a within-subject design, we find that teams attenuate their own members’ extrapolation bias by 75%. This reduction is not due to learning or differences in compensation, workload, or investment objectives between solo-managed and team-managed funds. Rather, we provide supportive evidence that team members engaging in deeper cognitive reflection can explain the bias reduction.
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Rangel, Marcos, Luana Marotta, Cynthia van der Werf, Suzanne Duryea, Marcelo Drouet Arias, and Lucina Rodríguez Guillén. Barriers to Immigrant Assimilation: Evidence on Grading Bias in Ecuadorian High Schools. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0005681.

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We investigate the assimilation of immigrant youth in Ecuador. Focusing on formal schooling and employing administrative data from high schools, we document subtle ways by which assessment biases against students with an immigrant background play a significant role in this assimilation process. We find that, after holding constant performance on blindly scored proficiency tests, teacher-assigned grades in Mathematics and Spanish are consistently lower for students from immigrant families. We show that these results are robust with respect to the omission of socio-emotional and behavioral traits that are likely valued by teachers. These differentials are larger for male students and those attending urban schools. While these grading differentials have direct impact over high school graduation rates, they may also discourage future human capital investments, potentially leading to lower college attendance, distorted choice of major, and sub-optimal labor market outcomes, which are all well know elements for the economic assimilation of immigrants.
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Díaz, Lina M., Déborah Martínez Villarreal, Carlos Scartascini, and Colombe Ladreit. Lowering Businesses' Carbon Footprint: Adoption of Eco-efficiency Indicators in Colombia and Peru. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0012905.

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This document provides a guide for conducting behaviorally informed interventions to reduce businesses' carbon footprint. It draws insights from a pilot study within Colombia's textile industry and Peru's plastic industry. The study addresses the critical need for businesses to adapt to the challenges posed by climate change and transition risks, such as the European Union's Carbon Border Adjustment Mechanism (CBAM), which requires significant adaptations from companies in Latin America and the Caribbean to stay competitive. A key component of this study was developing and testing the "Green Tool," designed to assist companies in adopting eco-efficiency indicators (EEIs), which can be used as an input to measuring and lowering companies carbon footprint. Central to the intervention's success was a preliminary diagnosis stage that pinpointed specific behavioral barriers hindering the reduction of carbon footprints, including present bias and prevailing social norms. By combining a behaviorally informed communications strategy with mentorship, the intervention enhanced the adoption of EEIs among the businesses in the treatment group compared to those in the control group. This pilot study highlights the essential role of targeted interventions, mentorship, and the strategic application of behavioral tools in encouraging sustainable practices within the business sector. Furthermore, this guide demonstrates the effectiveness of behavioral interventions in supporting businesses to transition towards lower carbon footprints, showcasing a path forward in the global effort to combat climate change.
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Hernández, Juan, and Juan Santaella. How to repay the after-COVID-19 public debt?: The case of Colombia. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004248.

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The COVID-19 pandemic produced a shock to public finances throughout the world. In the case of Colombia, the public debt to GDP ratio increased from 39.8% to 65.0%. We use a two-country neoclassical general equilibrium model to determine which one-shot tax reforms make the new debt level sustainable. Our analysis shows that Colombia was on the wrong side of the Laffer curve for capital and labor income taxes before the crisis and hence would need to reduce those taxes to repay its current debt. Specifically, reducing the capital tax by four percentage points and the labor tax by three percentage points restores sustainability. In contrast, the analysis suggests that the economy is on the upward-sloping side of the Laffer curve for the consumption tax. An increase of 10 percentage points in the consumption tax generates a future path of primary surpluses big enough to repay the post-COVID level of debt. The results suggest that behavioral changes and general equilibrium effects are sizeable. Therefore, ignoring them will bias fiscal consolidation analysis.
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Han, Bing, David Hirshleifer, and Johan Walden. Social Transmission Bias and Investor Behavior. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24281.

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Peterson, Bradley S., Joey Trampush, Margaret Maglione, et al. ADHD Diagnosis and Treatment in Children and Adolescents. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepccer267.

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Objective. The systematic review assessed evidence on the diagnosis, treatment, and monitoring of attention deficit hyperactivity disorder (ADHD) in children and adolescents to inform a planned update of the American Academy of Pediatrics (AAP) guidelines. Data sources. We searched PubMed®, Embase®, PsycINFO®, ERIC, clinicaltrials.gov, and prior reviews for primary studies published since 1980. The report includes studies published to June 15, 2023. Review methods. The review followed a detailed protocol and was supported by a Technical Expert Panel. Citation screening was facilitated by machine learning; two independent reviewers screened full text citations for eligibility. We abstracted data using software designed for systematic reviews. Risk of bias assessments focused on key sources of bias for diagnostic and intervention studies. We conducted strength of evidence (SoE) and applicability assessments for key outcomes. The protocol for the review has been registered in PROSPERO (CRD42022312656). Results. Searches identified 23,139 citations, and 7,534 were obtained as full text. We included 550 studies reported in 1,097 publications (231 studies addressed diagnosis, 312 studies addressed treatment, and 10 studies addressed monitoring). Diagnostic studies reported on the diagnostic performance of numerous parental ratings, teacher rating scales, teen/child self-reports, clinician tools, neuropsychological tests, EEG approaches, imaging, and biomarkers. Multiple approaches showed promising diagnostic performance (e.g., using parental rating scales), although estimates of performance varied considerably across studies and the SoE was generally low. Few studies reported estimates for children under the age of 7. Treatment studies evaluated combined pharmacological and behavior approaches, medication approved by the Food and Drug Administration, other pharmacologic treatment, psychological/behavioral approaches, cognitive training, neurofeedback, neurostimulation, physical exercise, nutrition and supplements, integrative medicine, parent support, school interventions, and provider or model-of-care interventions. Medication treatment was associated with improved broadband scale scores and ADHD symptoms (high SoE) as well as function (moderate SoE), but also appetite suppression and adverse events (high SoE). Psychosocial interventions also showed improvement in ADHD symptoms based on moderate SoE. Few studies have evaluated combinations of pharmacological and youth-directed psychosocial interventions, and we did not find combinations that were systematically superior to monotherapy (low SoE). Published monitoring approaches for ADHD were limited and the SoE is insufficient. Conclusion. Many diagnostic tools are available to aid the diagnosis of ADHD, but few monitoring strategies have been studied. Medication therapies remain important treatment options, although with a risk of side effects, as the evidence base for psychosocial therapies strengthens and other nondrug treatment approaches emerge.
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