Abstract: After a two-decade hiatus in which research on psychedelics was essentially halted, placebo-controlled clinical trials of psychedelic-assisted therapy for mental health conditions have begun to be published. We identified nine randomized, placebo-controlled clinical trials of psychedelic-assisted therapy published since 1994. Studies examined psilocybin, LSD (lysergic acid diethylamide), ayahuasca (which contains a combination of N,N-dimethyltryptamine and harmala monoamine oxidase inhibitor alkaloids), and MDMA (3,4-methylenedioxymethamphetamine). We compared the standardized mean difference between the experimental and placebo control group at the primary endpoint. Results indicated a significant mean between-groups effect size of 1.21 (Hedges g), which is larger than the typical effect size found in trials of psychopharmacological or psychotherapy interventions. For the three studies that maintained a placebo control through a follow-up assessment, effects were generally maintained at follow-up. Overall, analyses support the efficacy of psychedelic-assisted therapy across four mental health conditions—post-traumatic stress disorder, anxiety/depression associated with a life-threatening illness, unipolar depression, and social anxiety among autistic adults. While study quality was high, we identify several areas for improvement regarding the conduct and reporting of trials. Larger trials with more diverse samples are needed to examine possible moderators and mediators of effects, and to establish whether effects are maintained over time.
Friday, June 12, 2020
Rolf Degen summarizing... Meta-analysis of placebo-controlled clinical trials: Psychedelic-assisted therapy achieves larger effects in mental disorders than typical psychopharmacological or psychotherapy interventions
Luoma, Jason B. 2020. “A Meta-analysis of Placebo-controlled Trials of Psychedelic-assisted Therapy.” PsyArXiv. June 12. doi:10.1080/02791072.2020.1769878
Abstract: After a two-decade hiatus in which research on psychedelics was essentially halted, placebo-controlled clinical trials of psychedelic-assisted therapy for mental health conditions have begun to be published. We identified nine randomized, placebo-controlled clinical trials of psychedelic-assisted therapy published since 1994. Studies examined psilocybin, LSD (lysergic acid diethylamide), ayahuasca (which contains a combination of N,N-dimethyltryptamine and harmala monoamine oxidase inhibitor alkaloids), and MDMA (3,4-methylenedioxymethamphetamine). We compared the standardized mean difference between the experimental and placebo control group at the primary endpoint. Results indicated a significant mean between-groups effect size of 1.21 (Hedges g), which is larger than the typical effect size found in trials of psychopharmacological or psychotherapy interventions. For the three studies that maintained a placebo control through a follow-up assessment, effects were generally maintained at follow-up. Overall, analyses support the efficacy of psychedelic-assisted therapy across four mental health conditions—post-traumatic stress disorder, anxiety/depression associated with a life-threatening illness, unipolar depression, and social anxiety among autistic adults. While study quality was high, we identify several areas for improvement regarding the conduct and reporting of trials. Larger trials with more diverse samples are needed to examine possible moderators and mediators of effects, and to establish whether effects are maintained over time.
Abstract: After a two-decade hiatus in which research on psychedelics was essentially halted, placebo-controlled clinical trials of psychedelic-assisted therapy for mental health conditions have begun to be published. We identified nine randomized, placebo-controlled clinical trials of psychedelic-assisted therapy published since 1994. Studies examined psilocybin, LSD (lysergic acid diethylamide), ayahuasca (which contains a combination of N,N-dimethyltryptamine and harmala monoamine oxidase inhibitor alkaloids), and MDMA (3,4-methylenedioxymethamphetamine). We compared the standardized mean difference between the experimental and placebo control group at the primary endpoint. Results indicated a significant mean between-groups effect size of 1.21 (Hedges g), which is larger than the typical effect size found in trials of psychopharmacological or psychotherapy interventions. For the three studies that maintained a placebo control through a follow-up assessment, effects were generally maintained at follow-up. Overall, analyses support the efficacy of psychedelic-assisted therapy across four mental health conditions—post-traumatic stress disorder, anxiety/depression associated with a life-threatening illness, unipolar depression, and social anxiety among autistic adults. While study quality was high, we identify several areas for improvement regarding the conduct and reporting of trials. Larger trials with more diverse samples are needed to examine possible moderators and mediators of effects, and to establish whether effects are maintained over time.
2000-2018: Sexual inactivity increased among US men such that approximately 1 in 3 men aged 18 to 24 years reported no sexual activity in the past year; inactivity also increased among men & women aged 25-34 years
Trends in Frequency of Sexual Activity and Number of Sexual Partners Among Adults Aged 18 to 44 Years in the US, 2000-2018. Peter Ueda et al. JAMA Netw Open. 2020;3(6):e203833, June 12, 2020, doi:10.1001/jamanetworkopen.2020.3833
Question Did the distribution of sexual frequency and number of sexual partners in the past year among US adults change between 2000 and 2018, and was there an association between sexual activity and sociodemographic variables?
Findings In this survey study of US adults from 2000 to 2018, sexual inactivity increased among men aged 18 to 24 years and 25 to 34 years and women aged 25 to 34 years during the study period, with the increase among men mainly occurring among unmarried individuals. Men with lower income and with part-time or no employment were more likely to be sexually inactive, as were men and women who were students.
Meaning This study found that sexual inactivity increased among US adults, predominantly younger men, between 2000 and 2018, with potential public health implications.
Abstract
Importance Sexual relationships are important for well-being and health. Recent trends in sexual activity among US adults are unknown.
Objectives To examine trends in reported frequency of sexual activity and number of sexual partners by sex and age and the association between measures of sexual activity and sociodemographic variables.
Design, Setting, and Participants In this survey study, repeat, cross-sectional analyses of participants aged 18 to 44 years from 10 rounds of the General Social Survey (2000-2018), a US nationally representative survey, were performed for men and women separately.
Main Outcomes and Measures Sexual frequency in the past year (sexual inactivity, once or twice per year, 1-3 times per month, or weekly or more) and number of sexual partners in the past year (0, 1, 2, or ≥3 partners). The association between measures of sexual activity and sociodemographic variables were assessed using logistic regression.
Results The study population included 4291 men and 5213 women in the analysis of sexual frequency and 4372 men and 5377 women in the analysis of number of sexual partners (mean [SD] age, 31.4 [7.6] years; survey response rate, 59.5%-71.4%). Between 2000-2002 and 2016-2018, the proportion of 18- to 24-year-old individuals who reported having had no sexual activity in the past year increased among men (18.9% vs 30.9%; age-adjusted odds ratio [aOR] for trend across survey periods, 1.20; 95% CI, 1.04-1.39) but not among women (15.1% vs 19.1%; aOR for trend, 1.03; 95% CI, 0.89-1.18). Smaller absolute increases in sexual inactivity were observed among those aged 25 to 34 years for both men (7.0% vs 14.1%; aOR for trend, 1.23; 95% CI, 1.07-1.42) and women (7.0% vs 12.6%; aOR for trend, 1.17; 95% CI, 1.01-1.35) but not among those aged 35 to 44 years. The increase in sexual inactivity coincided with decreases in the proportion reporting weekly or more sexual frequency (men aged 18-24 years: 51.8% vs. 37.4%; aOR for trend, 0.88 [95% CI, 0.79-0.99]; men aged 25-34 years: 65.3% vs 50.3%; aOR for trend, 0.87 [95% CI, 0.81-0.94]; women aged 25-34 years: 66.4% vs. 54.2%; aOR for trend, 0.90 [95% CI, 0.84-0.96]) or 1 sexual partner (men aged 18-24 years: 44.2% vs. 30.0%; aOR for trend, 0.88 [95% CI, 0.80-0.98]; women aged 25-34 years: 79.6% vs 72.7%; aOR for trend, 0.91 [95% CI, 0.84-0.99]) and occurred mainly among unmarried men (unmarried men aged 18-44 years: 16.2% vs 24.4%; aOR for trend, 1.14 [95% CI, 1.04-1.25]). Among married men and women, weekly or more sexual frequency decreased (men: 71.1 % vs 57.7%; aOR for trend, 0.86 [95% CI, 0.79-0.93]; women: 69.1% vs 60.9%; aOR for trend, 0.92 [95% CI, 0.86-0.99]). Men with lower income (aOR for men with an annual income of ≥$50 000 vs $0-$9999, 0.37 [95% CI, 0.15-0.90]) and with part-time (aOR vs full-time employment, 2.08; 95% CI, 1.48-2.93) and no employment (aOR vs full-time employment, 2.08; 95% CI, 1.48-2.93) were more likely to be sexually inactive, as were men (aOR vs full-time employment, 2.94; 95% CI, 2.06-4.21) and women (aOR vs full-time employment, 2.37; 95% CI, 1.68-3.35) who were students.
Conclusions and Relevance This survey study found that from 2000 to 2018, sexual inactivity increased among US men such that approximately 1 in 3 men aged 18 to 24 years reported no sexual activity in the past year. Sexual inactivity also increased among men and women aged 25 to 34 years. These findings may have implications for public health.
Question Did the distribution of sexual frequency and number of sexual partners in the past year among US adults change between 2000 and 2018, and was there an association between sexual activity and sociodemographic variables?
Findings In this survey study of US adults from 2000 to 2018, sexual inactivity increased among men aged 18 to 24 years and 25 to 34 years and women aged 25 to 34 years during the study period, with the increase among men mainly occurring among unmarried individuals. Men with lower income and with part-time or no employment were more likely to be sexually inactive, as were men and women who were students.
Meaning This study found that sexual inactivity increased among US adults, predominantly younger men, between 2000 and 2018, with potential public health implications.
Abstract
Importance Sexual relationships are important for well-being and health. Recent trends in sexual activity among US adults are unknown.
Objectives To examine trends in reported frequency of sexual activity and number of sexual partners by sex and age and the association between measures of sexual activity and sociodemographic variables.
Design, Setting, and Participants In this survey study, repeat, cross-sectional analyses of participants aged 18 to 44 years from 10 rounds of the General Social Survey (2000-2018), a US nationally representative survey, were performed for men and women separately.
Main Outcomes and Measures Sexual frequency in the past year (sexual inactivity, once or twice per year, 1-3 times per month, or weekly or more) and number of sexual partners in the past year (0, 1, 2, or ≥3 partners). The association between measures of sexual activity and sociodemographic variables were assessed using logistic regression.
Results The study population included 4291 men and 5213 women in the analysis of sexual frequency and 4372 men and 5377 women in the analysis of number of sexual partners (mean [SD] age, 31.4 [7.6] years; survey response rate, 59.5%-71.4%). Between 2000-2002 and 2016-2018, the proportion of 18- to 24-year-old individuals who reported having had no sexual activity in the past year increased among men (18.9% vs 30.9%; age-adjusted odds ratio [aOR] for trend across survey periods, 1.20; 95% CI, 1.04-1.39) but not among women (15.1% vs 19.1%; aOR for trend, 1.03; 95% CI, 0.89-1.18). Smaller absolute increases in sexual inactivity were observed among those aged 25 to 34 years for both men (7.0% vs 14.1%; aOR for trend, 1.23; 95% CI, 1.07-1.42) and women (7.0% vs 12.6%; aOR for trend, 1.17; 95% CI, 1.01-1.35) but not among those aged 35 to 44 years. The increase in sexual inactivity coincided with decreases in the proportion reporting weekly or more sexual frequency (men aged 18-24 years: 51.8% vs. 37.4%; aOR for trend, 0.88 [95% CI, 0.79-0.99]; men aged 25-34 years: 65.3% vs 50.3%; aOR for trend, 0.87 [95% CI, 0.81-0.94]; women aged 25-34 years: 66.4% vs. 54.2%; aOR for trend, 0.90 [95% CI, 0.84-0.96]) or 1 sexual partner (men aged 18-24 years: 44.2% vs. 30.0%; aOR for trend, 0.88 [95% CI, 0.80-0.98]; women aged 25-34 years: 79.6% vs 72.7%; aOR for trend, 0.91 [95% CI, 0.84-0.99]) and occurred mainly among unmarried men (unmarried men aged 18-44 years: 16.2% vs 24.4%; aOR for trend, 1.14 [95% CI, 1.04-1.25]). Among married men and women, weekly or more sexual frequency decreased (men: 71.1 % vs 57.7%; aOR for trend, 0.86 [95% CI, 0.79-0.93]; women: 69.1% vs 60.9%; aOR for trend, 0.92 [95% CI, 0.86-0.99]). Men with lower income (aOR for men with an annual income of ≥$50 000 vs $0-$9999, 0.37 [95% CI, 0.15-0.90]) and with part-time (aOR vs full-time employment, 2.08; 95% CI, 1.48-2.93) and no employment (aOR vs full-time employment, 2.08; 95% CI, 1.48-2.93) were more likely to be sexually inactive, as were men (aOR vs full-time employment, 2.94; 95% CI, 2.06-4.21) and women (aOR vs full-time employment, 2.37; 95% CI, 1.68-3.35) who were students.
Conclusions and Relevance This survey study found that from 2000 to 2018, sexual inactivity increased among US men such that approximately 1 in 3 men aged 18 to 24 years reported no sexual activity in the past year. Sexual inactivity also increased among men and women aged 25 to 34 years. These findings may have implications for public health.
Observers viewed extreme protest actions to be immoral, reducing observers’ emotional connection to the movement and, in turn, reducing identification with and support for the movement
Feinberg, M., Willer, R., & Kovacheff, C. (2020). The activist’s dilemma: Extreme protest actions reduce popular support for social movements. Journal of Personality and Social Psychology, May 2020. https://doi.org/10.1037/pspi0000230
Abstract: How do protest actions impact public support for social movements? Here we test the claim that extreme protest actions—protest behaviors perceived to be harmful to others, highly disruptive, or both—typically reduce support for social movements. Across 6 experiments, including 3 that were preregistered, participants indicated less support for social movements that used more extreme protest actions. This result obtained across a variety of movements (e.g., animal rights, anti-Trump, anti-abortion) and extreme protest actions (e.g., blocking highways, vandalizing property). Further, in 5 of 6 studies, negative reactions to extreme protest actions also led participants to support the movement’s central cause less, and these effects were largely independent of individuals’ prior ideology or views on the issue. In all studies we found effects were driven by diminished social identification with the movement. In Studies 4–6, serial mediation analyses detailed a more in-depth model: observers viewed extreme protest actions to be immoral, reducing observers’ emotional connection to the movement and, in turn, reducing identification with and support for the movement. Taken together with prior research showing that extreme protest actions can be effective for applying pressure to institutions and raising awareness of movements, these findings suggest an activist’s dilemma, in which the same protest actions that may offer certain benefits are also likely to undermine popular support for social movements.
Abstract: How do protest actions impact public support for social movements? Here we test the claim that extreme protest actions—protest behaviors perceived to be harmful to others, highly disruptive, or both—typically reduce support for social movements. Across 6 experiments, including 3 that were preregistered, participants indicated less support for social movements that used more extreme protest actions. This result obtained across a variety of movements (e.g., animal rights, anti-Trump, anti-abortion) and extreme protest actions (e.g., blocking highways, vandalizing property). Further, in 5 of 6 studies, negative reactions to extreme protest actions also led participants to support the movement’s central cause less, and these effects were largely independent of individuals’ prior ideology or views on the issue. In all studies we found effects were driven by diminished social identification with the movement. In Studies 4–6, serial mediation analyses detailed a more in-depth model: observers viewed extreme protest actions to be immoral, reducing observers’ emotional connection to the movement and, in turn, reducing identification with and support for the movement. Taken together with prior research showing that extreme protest actions can be effective for applying pressure to institutions and raising awareness of movements, these findings suggest an activist’s dilemma, in which the same protest actions that may offer certain benefits are also likely to undermine popular support for social movements.
Visual Features Influence Thought Content in the Absence of Overt Semantic Information
Schertz, Kathryn E., Omid Kardan, and Marc Berman. 2019. “Visual Features Influence Thought Content in the Absence of Overt Semantic Information.” PsyArXiv. September 10. doi:10.31234/osf.io/ptxdr
Abstract: It has recently been shown that the perception of visual features of the environment can influence thought content. Both low-level (e.g., fractalness) and high-level (e.g., presence of water) visual features of the environment can influence thought content, in real-world and experimental settings where these features can make people more reflective and contemplative in their thoughts. It remains to be seen, however, if these visual features retain their influence on thoughts in the absence of overt semantic content, which could indicate a more fundamental mechanism for this effect. In this study, we removed this limitation, by creating scrambled edge versions of images, which maintain edge content from the original images but remove scene identification. Non-straight edge density is one visual feature which has been shown to influence many judgements about objects and landscapes, and has also been associated with thoughts of spirituality. We extend previous findings by showing that non-straight edges retain their influence on the selection of a “Spiritual & Life Journey” topic after scene identification removal. These results strengthen the implication of a causal role for the perception of low-level visual features on the influence of higher-order cognitive function, by demonstrating that in the absence of overt semantic content, low-level features, such as edges, influence cognitive processes.
Abstract: It has recently been shown that the perception of visual features of the environment can influence thought content. Both low-level (e.g., fractalness) and high-level (e.g., presence of water) visual features of the environment can influence thought content, in real-world and experimental settings where these features can make people more reflective and contemplative in their thoughts. It remains to be seen, however, if these visual features retain their influence on thoughts in the absence of overt semantic content, which could indicate a more fundamental mechanism for this effect. In this study, we removed this limitation, by creating scrambled edge versions of images, which maintain edge content from the original images but remove scene identification. Non-straight edge density is one visual feature which has been shown to influence many judgements about objects and landscapes, and has also been associated with thoughts of spirituality. We extend previous findings by showing that non-straight edges retain their influence on the selection of a “Spiritual & Life Journey” topic after scene identification removal. These results strengthen the implication of a causal role for the perception of low-level visual features on the influence of higher-order cognitive function, by demonstrating that in the absence of overt semantic content, low-level features, such as edges, influence cognitive processes.
Thursday, June 11, 2020
The Gap Between Self-reported and Actual Contributions to Climate Change Mitigation in US Residents
Farjam, Mike, and Giangiacomo Bravo. 2020. “The Gap Between Self-reported and Actual Contributions to Climate Change Mitigation in US Residents.” SocArXiv. June 11. doi:10.31235/osf.io/rqd4s
Abstract: Surveys measures of environmental concern are know to only weakly predict self-reported environmental behaviour. In addition, self-reported and actual behaviour may not match in empirical settings. To better explore the relation among these variables and the political stance of participants, we ran an online experiment with 805 US residents. Four key variables – environmental concern, self -reported environmental behaviour, observed environmental behaviour (in the form of carbon compensation), and political attitudes – were measured and their interactions in promoting pro-environment behaviour were analysed. We found that self-reported measures hardly held any correlation with real behaviour and that political attitudes mainly predicted self-reported measures, not real environmental behaviour.
Abstract: Surveys measures of environmental concern are know to only weakly predict self-reported environmental behaviour. In addition, self-reported and actual behaviour may not match in empirical settings. To better explore the relation among these variables and the political stance of participants, we ran an online experiment with 805 US residents. Four key variables – environmental concern, self -reported environmental behaviour, observed environmental behaviour (in the form of carbon compensation), and political attitudes – were measured and their interactions in promoting pro-environment behaviour were analysed. We found that self-reported measures hardly held any correlation with real behaviour and that political attitudes mainly predicted self-reported measures, not real environmental behaviour.
Only 15.33% of manuscripts in Psychological Science 2009-2019 claim to test predictions derived from theories; most psychological research is not driven by theory, nor can it be contributing to theory building
McPhetres, Jonathon, Nihan Albayrak-Aydemir, Ana Barbosa Mendes, Elvina C. Chow, Patricio Gonzalez-Marquez, Erin Loukras, Annika Maus, et al. 2020. “A Decade of Theory as Reflected in Psychological Science (2009-2019).” PsyArXiv. June 11. doi:10.31234/osf.io/hs5nx
Abstract: The dominant belief is that science progresses by testing theories and moving towards theoretical consensus. While it’s implicitly assumed that psychology operates in this manner, critical discussions claim that the field suffers from a lack of cumulative theory. To examine this paradox, we analysed research published in Psychological Science from 2009-2019 (N = 2,225). We found mention of 359 theories in-text, most were referred to only once. Only 53.66% of all manuscripts included the word theory, and only 15.33% explicitly claim to test predictions derived from theories. We interpret this to suggest that most psychological research is not driven by theory, nor can it be contributing to cumulative theory building. These data provide insight into the kinds of research psychologists are conducting and raises questions about the role of theory in the psychological sciences.
Abstract: The dominant belief is that science progresses by testing theories and moving towards theoretical consensus. While it’s implicitly assumed that psychology operates in this manner, critical discussions claim that the field suffers from a lack of cumulative theory. To examine this paradox, we analysed research published in Psychological Science from 2009-2019 (N = 2,225). We found mention of 359 theories in-text, most were referred to only once. Only 53.66% of all manuscripts included the word theory, and only 15.33% explicitly claim to test predictions derived from theories. We interpret this to suggest that most psychological research is not driven by theory, nor can it be contributing to cumulative theory building. These data provide insight into the kinds of research psychologists are conducting and raises questions about the role of theory in the psychological sciences.
Dying to Divulge: The Determinants Of, and Relationship Between, Desired and Actual Disclosure
Carbone, Erin, and George Loewenstein. 2020. “Dying to Divulge: The Determinants Of, and Relationship Between, Desired and Actual Disclosure.” PsyArXiv. May 28. doi:10.31234/osf.io/wfdhx
Abstract: Studies suggest that sharing thoughts and information with others may be inherently pleasurable and confer health, psychological, and social benefits to the discloser. At the same time, self-disclosure exposes individuals to scrutiny and the risk of rejection and reputational damage, particularly with the advent of digital applications and social media outlets that promote public, and often permanent, disclosing. In an effort to understand the tradeoffs that underlie the decision to disclose, we introduce a distinction between the propensity to disclose and the psychological desire to disclose and present a preliminary investigation into when and why these two constructs diverge. Findings from two exploratory studies reveal the types of information that individuals are most eager to share, as well as the contextual factors and individual characteristics that moderate the desire to share and the circumstances under which this desire is most likely to translate into actual sharing. We replicate findings from prior research that the decision to disclose is a function of content emotionality and valence, but find that the propensity to withhold negative information is most pronounced when the information is about oneself than about others, and that gender differences in disclosure are largely driven by the tendency for men to withhold negative, but not positive, information. Additionally, we capture motives and traits, many of them previously unexplored in the disclosure context, to model the underlying decision-making process that leads to information sharing and distinguish between the act of sharing information and the psychological desire that differentially engender disclosing behavior.
Abstract: Studies suggest that sharing thoughts and information with others may be inherently pleasurable and confer health, psychological, and social benefits to the discloser. At the same time, self-disclosure exposes individuals to scrutiny and the risk of rejection and reputational damage, particularly with the advent of digital applications and social media outlets that promote public, and often permanent, disclosing. In an effort to understand the tradeoffs that underlie the decision to disclose, we introduce a distinction between the propensity to disclose and the psychological desire to disclose and present a preliminary investigation into when and why these two constructs diverge. Findings from two exploratory studies reveal the types of information that individuals are most eager to share, as well as the contextual factors and individual characteristics that moderate the desire to share and the circumstances under which this desire is most likely to translate into actual sharing. We replicate findings from prior research that the decision to disclose is a function of content emotionality and valence, but find that the propensity to withhold negative information is most pronounced when the information is about oneself than about others, and that gender differences in disclosure are largely driven by the tendency for men to withhold negative, but not positive, information. Additionally, we capture motives and traits, many of them previously unexplored in the disclosure context, to model the underlying decision-making process that leads to information sharing and distinguish between the act of sharing information and the psychological desire that differentially engender disclosing behavior.
Wednesday, June 10, 2020
25 simple job features explain over half the variance in which jobs are now automated; biggest automation predictor is Pace Determined By Speed Of Equipment; predictors didn't change from 1999 to 2019
Testing the automation revolution hypothesis. Keller Scholl, Robin Hanson. Economics Letters, Volume 193, August 2020, 109287. https://doi.org/10.1016/j.econlet.2020.109287
Highlights
• 25 simple job features explain over half the variance in which jobs are now automated.
• The strongest job automation predictor is: Pace Determined By Speed Of Equipment.
• Which job features predict job automation how did not change from 1999 to 2019.
• Jobs that get more automated do not on average change in pay or employment.
• Labor markets change more often due to changes in demand, relative to supply.
Abstract: Wages and employment predict automation in 832 U.S. jobs, 1999 to 2019, but add little to top 25 O*NET job features, whose best predictive model did not change over this period. Automation changes predict changes in neither wages nor employment.
Keywords: AutomationWagesEmploymentOccupationsArtificial intelligenceTechnology
Highlights
• 25 simple job features explain over half the variance in which jobs are now automated.
• The strongest job automation predictor is: Pace Determined By Speed Of Equipment.
• Which job features predict job automation how did not change from 1999 to 2019.
• Jobs that get more automated do not on average change in pay or employment.
• Labor markets change more often due to changes in demand, relative to supply.
Abstract: Wages and employment predict automation in 832 U.S. jobs, 1999 to 2019, but add little to top 25 O*NET job features, whose best predictive model did not change over this period. Automation changes predict changes in neither wages nor employment.
Keywords: AutomationWagesEmploymentOccupationsArtificial intelligenceTechnology
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