2019
DOI: 10.2139/ssrn.3483976
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Who Said or What Said? Estimating Ideological Bias in Views Among Economists

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Cited by 5 publications
(2 citation statements)
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“…Although the distinction may have been more prominent in past decades (Mankiw, 2006), recent evidence suggests that this freshwater/saltwater divide continues to structure hiring and citation patterns within elite economics departments (Onder & Tervio, 2015; Terviö, 2011). Moreover, recent research identifies signs of a persistent division between free market and interventionist tendencies using large scale text analysis of economics articles (Diaf et al., 2022; Jelveh et al., 2018), in networks of policy petition signatories (Beyer & Pühringer, 2019) and survey experiments with academic economists (Javdani & Chang, 2019). Recent research also shows that, despite the high level of consensus found in the IGM panel, there is also a significant degree of ideological alignment, or stratification across a latent free market/interventionism axis (Van Gunten et al., 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Although the distinction may have been more prominent in past decades (Mankiw, 2006), recent evidence suggests that this freshwater/saltwater divide continues to structure hiring and citation patterns within elite economics departments (Onder & Tervio, 2015; Terviö, 2011). Moreover, recent research identifies signs of a persistent division between free market and interventionist tendencies using large scale text analysis of economics articles (Diaf et al., 2022; Jelveh et al., 2018), in networks of policy petition signatories (Beyer & Pühringer, 2019) and survey experiments with academic economists (Javdani & Chang, 2019). Recent research also shows that, despite the high level of consensus found in the IGM panel, there is also a significant degree of ideological alignment, or stratification across a latent free market/interventionism axis (Van Gunten et al., 2016).…”
Section: Introductionmentioning
confidence: 99%
“…People exhibit a range of cognitive biases when evaluating and judging situations in various contexts (Kahneman, Slovic and Tversky, 1982;Klayman, 1995;Nickerson, 1998;Gilovich, Griffin and Kahneman, 2002). While laypeople and economists may have systematic disagreements in assessing the state of the economy or different economic policies (Caplan, 2002;Caplan and Miller, 2010), economists themselves are not immune to biases in their judgments (Javdani and Chang, 2023). However, discussions on biases have recently received even more attention in the context of the accelerated development of artificial intelligences (AIs) than solely in the realm of human behavior, given the disruptive potential that large language models, such as ChatGPT, can have in various spheres of life (Ferrara, 2023;Ray, 2023;Singh and Ramakrishnan, 2023).…”
Section: Introductionmentioning
confidence: 99%