@article {13072, title = {The right amount of online scrolling could decrease your risk of dementia}, year = {2023}, publisher = {Popular Science}, keywords = {dementia risk, Internet usage, Technology}, url = {https://www.popsci.com/technology/internet-use-dem}, author = {Andrew Paul} } @article {HUDOMIET2022102005, title = {Computerization, obsolescence and the length of working life}, journal = {Labour Economics}, volume = {77}, year = {2022}, note = {European Association of Labour Economists, World Conference EALE/SOLE/AASLE, Berlin, Germany, 25 {\textendash} 27 June 2020}, pages = {102005}, abstract = {This paper analyzes how computerization affected the labor market outcomes of older workers between 1984 and 2017. Using the computerization supplements of the Current Population Survey (CPS) we show that different occupations were computerized at different times, older workers tended to start using computers with a delay compared to younger workers, but computer use within occupations converged to the same levels across age groups eventually. That is, there was a temporary knowledge gap between younger and older workers in most occupations. Using this variation, we estimate how this knowledge gap affected older workers{\textquoteright} labor market outcomes using millions of observations from the CPS, and additional data from the Health and Retirement Study. Our models control for occupation and time fixed effects and in some models, we also control for full occupation-time interactions and use middle aged (age 40-49) workers as the control group. We find strong and robust negative effects of the knowledge gap on wages, and a large, temporary increase in transitions from work to non-participation. These results are consistent with a model of creative destruction in which the computerization of jobs made older workers{\textquoteright} skills obsolete in birth cohorts that experienced computerization relatively late in their careers. We find larger effects on females and on middle-skilled workers.}, keywords = {Occupation, Retirement, skills, Technology}, issn = {0927-5371}, doi = {https://doi.org/10.1016/j.labeco.2021.102005}, author = {P{\'e}ter Hudomiet and Robert J. Willis} } @article {12327, title = {Identifying Racial and Rural Disparities of Cognitive Functioning among Older Adults: The Role of Social Isolation and Social Technology Use.}, journal = {The Journals of Gerontology, Series B }, volume = {77}, year = {2022}, pages = {1779-1790}, abstract = {

OBJECTIVES: Social isolation is associated with poorer cognitive outcomes among older adults. The use of online social technology platforms may provide a means to reduce social isolation. However, research examining whether social technology can mitigate the negative effects of social isolation on cognitive functioning is limited. This study investigates the interaction between social isolation and social technology use on cognitive functioning among older adults and seeks to identify racial and rural-urban differences in this relationship.

METHOD: Data was obtained from the Health and Retirement Study 2014 to 2018 waves (N=5,358). Participants (aged 50-102) completed self-report measures of social isolation, loneliness, and frequency of online social communication and completed the modified Telephone Interview for Cognitive Status (TICS-m), which assesses cognitive functioning. Examinations of race focused on differences between Black/African American and White/Caucasian groups; rurality was operationalized using Beale Rural-Urban Continuum Codes. Data was analyzed using structural equation models.

RESULTS: Social technology use moderated the negative relationship between social isolation and cognitive functioning, controlling for age, education, gender, wealth, and general computer usage. Greater social technology use was associated with better cognitive functioning among socially isolated older adults. Results showed evidence of racial, but not rural-urban, differences in the relationship between social technology use and cognitive functioning. Regardless of degree of social isolation, frequent social technology use was associated with improved cognitive functioning in Black/African American older adults but not White/Caucasians older adults.

DISCUSSION: Social technology may represent a way to mitigate cognitive decline, particularly among Black/African American older adults.

}, keywords = {Cognition, rurality, Social Interaction, Social networks, Technology}, issn = {1758-5368}, doi = {10.1093/geronb/gbac055}, author = {Byrne, Kaileigh A and Ghaiumy Anaraky, Reza} } @mastersthesis {12436, title = {Predictors of Technology Use among Older Adults: Evidence Ranging from Non-Users to Elite Users}, volume = {Ph.D.}, year = {2022}, school = {University of Central Florida}, address = {Orlando, FL}, abstract = {Older adults tend to under-utilize digital technology and online services that can yield substantial benefits to their health and wellbeing. Addressing this problem requires determining robust and consistent predictors of older adults{\textquoteright} technology use. Also, few studies have examined older adults who are elite users of digital technology, who may provide insights into how individuals can prepare to become competent users of future technologies as they age. To address these gaps in the technology and aging literature, this dissertation offers (1) large-scale machine learning analyses, (2) longitudinal perspectives, (3) age group comparisons across the adult life span, (4) the novel recruitment of elite, older users of digital technology, and (5) the development and validation of a technology use scale focused on current innovations. In Study 1, data from the Health and Retirement Study were used. Machine learning classified Internet users versus non-users with an accuracy of ~80\%. Across a 14-year span, results largely supported current models of aging and technology use. Age, cognition, and socioeconomics emerged as the most robust and consistent predictors of Internet use from competition with hundreds of variables. In Study 2, the outcome variable was expanded to include nine domains of technology use. Elite, older users exhibited many markers of successful aging, including higher levels of cognition, socioeconomics, and self-efficacy. Across studies, results suggested that skills needed to engage with technology at a basic level differ slightly from those needed to reach higher levels of technology use. Specifically, poor episodic long-term memory may pose a barrier to basic technology use among older adults (e.g., assessing the Internet), while better short-term memory is required to achieve elite-level technology use. These results highlight the potential value of exposure to new technology at a younger age {\textendash} when there are fewer barriers of entry (e.g., cognitive limitations) and a foundation of technology use principles can be developed and built upon across adulthood.}, keywords = {Cognition, Machine learning, socioeconomic, Technology}, url = {https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=2110\&context=etd2020}, author = {Xiaoqing Wan} } @article {11636, title = {The Changing Relationship between Bodyweight and Longevity in High- and Low-Income Countries}, number = {28813}, year = {2021}, institution = {National Bureau of Economic Research}, address = {Cambridge, MA}, abstract = {Standard measures of bodyweight (overweight and obese, for example) fail to reflect technological progress over time - and in particular, recent progress disproportionately promoting longevity at higher bodyweights (and differences in access to it). This paper builds on the pioneering work of Hans Waaler (Waaler, 1984) and Robert Fogel (Fogel, 1994) to empirically estimate how technological progress, and differential access to it, have fundamentally transformed the relationship between body mass index (BMI) and longevity in high-, middle-, and low-income countries. Importantly, we show that the combined effect of technological progress and access to it across countries is so profound that the share of national populations above mortality-minimizing bodyweight is not clearly greater in countries with higher overweight and obesity rates (as traditionally defined) - and in fact, relative to current standards, a larger share of low-income countries{\textquoteright} populations can be unhealthily heavy.}, keywords = {BMI, Income, MHAS, Technology}, doi = {10.3386/w28813}, author = {Joanna Aleksandra Kopinska and Atella, Vincenzo and Bhattacharya, Jay and Grant Miller} } @article {11578, title = {Cognitive functioning mediates the relationship between self-perceptions of aging and computer use behavior in late adulthood: Evidence from two longitudinal studies}, journal = {Computers in Human Behavior}, volume = {121}, year = {2021}, pages = {106807}, abstract = {Although information and communication technologies have become an integral part of contemporary societies, substantial proportions of the older population remain distant from these digital tools. This stresses the importance of identifying age-specific factors that facilitate or prevent technology adoption among older age groups. Despite being powerful determinants of behavior and health in late adulthood, little is known about the role of stereotypical perceptions about age and aging in the behavioral engagement with technological devices. Across two longitudinal studies, we examined the relationship between self-perceptions of aging and computer use behavior, as well as the mediating role of cognitive functioning. Study 1 was based on the 2010, 2014, and 2018 waves of the Health and Retirement Study (n = 3404). Study 2 was based on the 2014 and 2017 waves of the German Ageing Survey (n = 4871). Both studies revealed that more positive self-perceptions of aging were associated with more frequent computer use behavior. Moreover, this relationship was partially mediated by cognitive functioning. This suggests that perceptions about their aging experience can influence how individuals behave towards computer technology by impacting important predictors of use behavior. Interventions promoting positive self-perceptions of aging may thus contribute to the digital inclusion of middle-aged and older adults.}, keywords = {Ageism, Cognition, self-perceptions of aging, Stereotype embodiment, Technology}, isbn = {0747-5632}, doi = {10.1016/j.chb.2021.106807}, author = {Mariano, Jo{\~a}o and Marques, Sibila and Ramos, Miguel R. and de Vries, Hein} } @article {10.3389/fpubh.2021.723925, title = {Examining Rural and Racial Disparities in the Relationship Between Loneliness and Social Technology Use Among Older Adults}, journal = {Frontiers in Public Health}, volume = {9}, year = {2021}, pages = {1280}, abstract = {Loneliness, the subjective negative experience derived from a lack of meaningful companionship, is associated with heightened vulnerability to adverse health outcomes among older adults. Social technology affords an opportunity to cultivate social connectedness and mitigate loneliness. However, research examining potential inequalities in loneliness is limited. This study investigates racial and rural-urban differences in the relationship between social technology use and loneliness in adults aged 50 and older using data from the 2016 wave of the Health and Retirement Study (N = 4,315). Social technology use was operationalized as the self-reported frequency of communication through Skype, Facebook, or other social media with family and friends. Loneliness was assessed using the UCLA Loneliness scale, and rural-urban differences were based on Beale rural-urban continuum codes. Examinations of race focused on differences between Black/African-American and White/Caucasian groups. A path model analysis was performed to assess whether race and rurality moderated the relationship between social technology use and loneliness, adjusting for living arrangements, age, general computer usage. Social engagement and frequency of social contact with family and friends were included as mediators. The primary study results demonstrated that the association between social technology use and loneliness differed by rurality, but not race. Rural older adults who use social technology less frequently experience greater loneliness than urban older adults. This relationship between social technology and loneliness was mediated by social engagement and frequency of social contact. Furthermore, racial and rural-urban differences in social technology use demonstrated that social technology use is less prevalent among rural older adults than urban and suburban-dwelling older adults; no such racial differences were observed. However, Black older adults report greater levels of perceived social negativity in their relationships compared to White older adults. Interventions seeking to address loneliness using social technology should consider rural and racial disparities.}, keywords = {Disparities, Loneliness, rurality, Technology}, issn = {2296-2565}, doi = {10.3389/fpubh.2021.723925}, author = {Byrne, Kaileigh A. and Anaraky, Reza Ghaiumy and Dye, Cheryl and Ross, Lesley A. and Chalil Madathil, Kapil and Knijnenburg, Bart and Levkoff, Sue} } @article {11218, title = {Internet Adoption in Older Adults: Findings from the Health and Retirement Study.}, journal = {Cyberpsychol, Behavior, and Social Networking}, volume = {24}, year = {2021}, pages = {101-107}, abstract = {

Being able to use the Internet is becoming increasingly important in today{\textquoteright}s digitized society. Evidence suggests that older adults are at risk of being left behind by technological developments. We examined Internet adoption in older adults in relation to sociodemographic, health, cognitive, social, and personality factors. We used data from the Health and Retirement Study ( = 5,949; 61 percent women; age: = 72 years, standard deviation [] = 7; range = 50-105). Internet use was examined over an 8-year period. Predictors were assessed at baseline. We used a Cox proportional hazards model to examine how predictors were related to Internet adoption during the study period. Overall, 1,296 out of 5,949 participants (22 percent) reported starting to use the Internet during the study period. Our findings revealed that younger age, higher education, higher income, living with a partner, and better cognitive performance were associated with a higher likelihood of Internet adoption, whereas being Black was associated with a lower likelihood. Openness was associated with a higher likelihood of Internet adoption over the study period. Our findings add to the literature on the role of sociodemographic, cognitive, and health factors in older adults{\textquoteright} Internet use. In addition, we show that personality also predicts older adults{\textquoteright} Internet use.

}, keywords = {cognitive function, Internet use, Personality, Successful aging, Technology}, issn = {2152-2723}, doi = {10.1089/cyber.2019.0736}, author = {Macdonald, Birthe and H{\"u}l{\"u}r, Gizem} } @article {11610, title = {Predictors of use of digital technology for communication among older adults: analysis of data from the health and retirement study}, journal = {Working with Older People}, volume = {25}, year = {2021}, pages = {294-303}, abstract = {Purpose This study aims to examine the potential impact of eleven social and psychological factors {\textendash} anxiety, closeness with family and friends, intellectual curiosity, life control, life satisfaction, physical health, religiosity, self-esteem, sociability, socioeconomic status and works status and demands {\textendash} on the use of digital technology by older adults for the purpose of communicating with family and friends. Design/methodology/approach A path analysis, which uses ordinary least squares regression to examine relationships among variables, is used to perform a secondary analysis of data from the 2018 Health and Retirement Study. A correlation matrix, which displays the direct relationships among variables, is also incorporated. Findings Statistically significant direct influences are revealed between the use of digital technology for communication and three factors: intellectual curiosity, self-esteem, and sociability. These three factors are themselves moderated by the influences of the remaining eight factors. While most factors relate to an increase in the adoption of social uses of digital technology, increased anxiety and increased work demands (for those who are employed) are related to decreased adoption, while increased religiosity has a mixed effect (reduced intellectual curiosity but increased sociability). These findings suggest a few avenues for identifying and intervening in the lives of physically and socially isolated older adults, by illuminating correlates of technology adoption. Originality/value While many studies have examined factors that correlate to increased technology adoption, this study is original in that it focuses specifically on the use of digital technology for communication with family and friends (i.e. use of email, messaging, social media) while also focusing on social and psychological factors (many of which can be changed through intervention) rather than innate and uncontrollable factors like age, gender and ethnicity.}, keywords = {Loneliness, Quality of Life, Technology, Well-being}, isbn = {1366-3666}, doi = {10.1108/WWOP-01-2021-0002}, author = {Lund, Brady} } @article {12074, title = {Rural and non-rural digital divide persists in older adults: Internet access, usage, and attitudes toward technology}, journal = {Gerontechnology}, volume = {20}, year = {2021}, pages = {1-9}, abstract = {Background: The digital age divide remains persistent despite the recent increase in internet use among older adults. Additionally, older rural residents are at greater risk of being digitally disconnected. Objective: Guided by the social determinants of health framework, our study aims to examine how one{\textquoteright}s residential area relates to (1) internet use, (2) subtypes of usage patterns, and (3) attitudes toward technology use in later life. Method: Cross-sectional data were drawn from the 2012 Health and Retirement Study. The analytic sample consisted of 1,566 older adults aged 50 and above. Chi-square tests and logistic regression analyses were performed. Results: Internet access rates were significantly lower in rural residents (54\%) compared to the urban (66\%) or the suburban group (61\%). Compared to urban residents, those residing in suburban areas were less likely to use health technology while those living in rural areas had lower odds of communication, financial, and media technology use. Furthermore, the association between urban-rural residence and attitudes toward technology was compared among non-users (N = 633). Older adults in rural areas showed more unfavorable perceptions of technology than urban residents. They were less likely to conceive technology as {\textquotedblleft}easily available,{\textquotedblright} but more likely to perceive it as {\textquotedblleft}too complicated{\textquotedblright} and {\textquotedblleft}too hard to learn.{\textquotedblright} No significant differences were found between rural and suburban residents. Conclusion: Our findings suggest that older adults in rural areas, notably lag in using and adopting digital technology. Comprehensive intervention efforts are needed to narrow the digital divide for rural communities.}, keywords = {Attitude, Digital Divide, rural, Technology, urban}, doi = {https://doi.org/10.4017/gt.2021.20.2.32-472.12}, author = {Lee, Hee Yun and Kanthawala, Shaheen and Eun-Young Choi and Kim, Young Sun} } @article {10846, title = {Does Perceived Ageism Widen the Digital Divide? And Does It Vary by Gender?}, journal = {Gerontologist}, volume = {60}, year = {2020}, pages = {1213-1223}, abstract = {Existing literature presents a widening digital divide among older adults in addition to the consideration of the potential adverse impacts of ageism on internet use among the older adult population. Our study aimed to investigate (1) whether older adults{\textquoteright} perceived ageism will be associated with their use of the internet and (2) whether the relationship between perceived ageism and internet use will be moderated by age groups and binary gender.Using the data from the 2016 Health and Retirement Study, regression analyses were separately performed by gender. Two measures of perceived ageism were considered: (1) self-perception of aging and (2) perceived age discrimination.Our findings suggested that greater exposure to ageism is generally related to less use of the internet. In addition, we found divergent patterns in the relationship between ageism and internet use by gender. For women, a lower level of internet use was predicted by more negative perceptions of aging, whereas men{\textquoteright}s internet use was associated with the experience of age discrimination. Furthermore, interaction effects between age groups and ageism varied across gender. The negative perception of aging was more strongly associated with less internet use in older women than middle-aged women. In comparison, the perceived age discrimination predicted less internet use in middle-aged men than older men.Our findings suggest that perceived ageism is significantly associated with internet use, and its association differs by gender.}, keywords = {Ageism, gender issues, Technology}, isbn = {0016-9013}, doi = {10.1093/geront/gnaa066}, author = {Eun-Young Choi and Kim, Youngsun and Chipalo, Edson and Lee, Hee Yun} } @article {doi:10.1080/01634372.2020.1760992, title = {Perceived Usefulness and Easiness of Information and Communication Technologies and Volunteering among Older Adults}, journal = {Journal of Gerontological Social Work}, volume = {63}, year = {2020}, note = {PMID: 32401174}, abstract = {ABSTRACTThis study investigates the association between older adults{\textquoteright} perception of usefulness and easiness (PUE) of Internet Communication and Technologies (ICTs) and volunteering, and if this association differs across their income status. Data were obtained from the 2012 wave of the Health and Retirement Study (HRS), and the sample was restricted to respondents aged between 60 and 84 (N = 901) and who completed the 2012 HRS technology module. Multinomial logistic regression was employed to examine the independent and joint influence of PUE of ICTs and of low-income status on volunteering. The results show that only people with high PUE engaged in more than 100 hours of volunteering among older adults after controlling for covariates. The positive effect of high PUE was found to be more significant in the low-income group. This is the first known research to investigate the PUE of ICTs and volunteering among older adults. This study expands the knowledge of volunteering among older adults by exploring ICTs which can be considered as one of the most influential macrosocial changes in the current society. Moreover, our findings provide some insights and an empirical foundation in volunteering programs for older adults of different PUE levels.}, keywords = {Poverty, productive aging, Technology, Volunteerism}, issn = {0163-4372}, doi = {10.1080/01634372.2020.1760992}, author = {Joonyoung Cho and BoRin Kim and Jehoon Jeon and Sojung Park} } @article {article, title = {Aging, PEOU, and adoption of communication technology}, journal = {Journal of Consumer Marketing}, year = {2019}, month = {10/2019}, abstract = {Electronic communication technology can facilitate communications with family, friends and health-care professionals and deliver products and services that can significantly raise quality of life for the aging population. However, technology use by older Americans lags behind that of younger Americans. This paper aims to explore physiological decline and cognitive decline as underlying causes or antecedents that may uniquely contribute to predicting perceived ease of use (PEOU) and actual use of technology over and beyond chronological age among older adults. Design/methodology/approach Data were collected by University of Michigan{\textquoteright}s 2012 Health and Retirement Study from a national sample of 1,686 respondents age 50 or older. Data were analyzed with the Mplus software package. The conceptual framework was estimated with a path analysis model. Findings Results indicated that physiological decline (vision, hearing and health) and cognitive decline (memory) made a significant unique contribution to predicting PEOU and actual use of technology above and beyond chronological age. Implications for marketing technology-based products and services to older Americans were discussed. Originality/value This research has identified and empirically tested how variability in physiological decline and cognitive decline could uniquely predict use of communication technologies, directly and indirectly via PEOU, above and beyond chronological age.}, keywords = {Aging, Perceived ease of use, Technology, technology acceptance}, doi = {10.1108/JCM-12-2018-2973}, author = {Shen, Anyuan} } @article {10005, title = {Computer usage and cognitive capability of older adults: Analysis of data from the Health and Retirement Study}, journal = {Educational Gerontology}, volume = {45}, year = {2019}, pages = {22-23}, abstract = {As America{\textquoteright}s older population continues to grow, more individuals are experiencing cognitive decline in the United States. At the same time, we live in an age where technology has increasingly become an integral part of our daily lives. Although numerous studies have examined cognitive functions of older adults from a diverse range of perspectives, research on the relationship between the technology adoption and adult cognitive capacity has been limited. Using nationally representative data (n = 5,259) from the Health and Retirement Study (HRS), this study analyzed the effect of computer usage on the cognitive capabilities of individuals aged 50 and older in the United States. Findings show that computer use in older adults declines with age but rises for those with higher levels of education. Results also indicate that an increased use of computers is significantly associated with improved cognitive capability, when controlling for age, gender, and years of education. Further research is needed to better understand the patterns of technology adoption among older adults and assess its effects on their cognitive abilities.}, keywords = {Cognitive Ability, Education, Technology}, issn = {0360-1277}, doi = {10.1080/03601277.2019.1575026}, url = {https://www.tandfonline.com/doi/full/10.1080/03601277.2019.1575026https://www.tandfonline.com/doi/pdf/10.1080/03601277.2019.1575026}, author = {Denise Calhoun and Lee, Seung Bok} } @article {9928, title = {The Digital Divide in Health-Related Technology Use: The Significance of Race/Ethnicity.}, journal = {Gerontologist}, volume = {59}, year = {2019}, abstract = {

Background and Objectives: Technology can enhance the health and quality of life of diverse populations and may play an important role in reducing health disparities. Although a "digital divide" between the young and the old has been noted, it is unclear whether the use of technology for managing health differs by race/ethnicity among older adults. This study uses nationally representative data from community-dwelling older Americans to characterize racial/ethnic differences in health-related technology use.

Design and Methods: Data came from 1,336 white, black, and Hispanic adults aged 54 and older who completed the 2014 technology module of the Health and Retirement Study. Racial/ethnic differences in overall health-related technology use were assessed using Poisson regression. Then, F-tests were used to assess differences in the use of phone calls, text messages, E-mails, social media, health management sites, health-related mobile applications, web searches, and brain games for health purposes.

Results: Compared to whites, older blacks and Hispanics were less likely to use technology for health-related purposes after accounting for demographic characteristics, education, and health conditions. They were also less likely to make or receive phone calls, use health management sites, search the web for health information, and use brain games for their health.

Discussion and Implications: Older racial and ethnic minorities are less likely than whites to use certain technologies when managing their health. These findings highlight the importance of understanding the patterns of health-related technology use across racially and ethnically diverse populations to appropriately tailor interventions aimed at improving minority health and eliminating health disparities.

}, keywords = {Health Services Utilization, Racial/ethnic differences, Technology}, issn = {1758-5341}, doi = {10.1093/geront/gny138}, author = {Uchechi A Mitchell and Perla G. Chebli and Ruggiero, Laurie and Muramatsu, Naoko} } @article {9932, title = {Using Skype to Beat the Blues: Longitudinal Data from a National Representative Sample.}, journal = {American Journal of Geriatric Psychiatry}, volume = {27}, year = {2019}, pages = {254-262}, abstract = {

OBJECTIVES: This study aimed to determine whether use of certain types of online communication technology is associated with subsequent depressive symptoms.

DESIGN: Nationally representative, population-based prospective cohort.

SETTING: Data were obtained from the 2012 and 2014 waves of the Health and Retirement Study (HRS).

PARTICIPANTS: 1,424 community-residing older adults (mean age, 64.8) in the United States.

MEASUREMENTS: We examined associations between use of four communication technologies (email, social networks, video chat, and instant messaging) in 2012 and depressive symptoms (eight-item Center for Epidemiologic Studies Depression scale) at two-year follow-up.

RESULTS: 564 participants (39.6\%) did not use any communication technologies, 314 (22.1\%) used email only, and 255 (17.9\%) used video chat (e.g., Skype). Compared to non-users (13.1\%, 95\% CI: 9.5-16.7\%) or those who used only email (14.3\%, 95\% CI: 10.1-18.5\%), users of video chat had approximately half the probability of depressive symptoms (6.9\%, 95\% CI: 3.5-10.3\%, Wald Chi test, Chi=13.82, p < 0.001; 7.6\%, 95\% CI: 3.6-11.6, Wald Chi test, Chi=13.56, p < 0.001). Use of email, social media, and instant messaging were not associated with a lower risk of depression.

CONCLUSIONS: Older adults who use video chat such as Skype, but not other common communication technologies, have a lower risk of developing depression.

}, keywords = {Depressive symptoms, Social Support, Technology}, issn = {1545-7214}, doi = {10.1016/j.jagp.2018.10.014}, author = {Alan R Teo and Markwardt, Sheila and Hinton, Ladson} } @article {8591, title = {What digital divide? Seniors embrace social technology}, journal = {Science Daily}, year = {2016}, month = {08/25/2016}, keywords = {Depressive symptoms, Loneliness, Older Adults, Technology}, url = {https://www.sciencedaily.com/releases/2016/08/160825101115.htm} } @article {10871, title = {Technical Progress and Early Retirement*}, journal = {The Economic JournalThe Economic Journal}, volume = {121}, year = {2011}, pages = {171 - 193}, abstract = {This article examines the effect of sector technical change on early retirement and identifies two opposing effects. One is caused by the need to learn the new technologies. As older workers have shorter career horizons, they gain less from such learning and retire earlier. This is the erosion effect. The second effect is opposite. Since technologies are positively correlated across sectors and since aggregate technical change raises aggregate wages, sector technical change is negatively related to early retirement. This is the wage effect. Using individual and sector data, we separate the two effects and find empirical support for the theory.}, keywords = {Early retirement, erosion effect, Technology, wage effect}, isbn = {0013-0133}, doi = {10.1111/j.1468-0297.2010.02392.x}, author = {Ahituv, Avner and Zeira, Joseph} }