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Journal articles on the topic 'Age Effects'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2023

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1

Baker, Joseph, Jörg Schorer, and Stephen Cobley. "Relative age effects." Sportwissenschaft 40, no. 1 (January 31, 2010): 26–30. http://dx.doi.org/10.1007/s12662-009-0095-2.

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2

Booth, Pamela L., Todd Guilfoos, and Emi Uchida. "Endowment Effects and Drinking Water Quality." Agricultural and Resource Economics Review 45, no. 2 (August 2016): 338–66. http://dx.doi.org/10.1017/age.2016.23.

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We conduct a laboratory experiment to test for the existence of the endowment effect—a gap between willingness to accept and willingness to pay—for improved drinking water quality using a within-subject design. We find a statistically significant and positive gap. Willingness to accept is 62 to 125 cents higher than willingness to pay on average, indicating the presence of endowment effects. This gap is robust to information about the quality of water being consumed. We also identify some heterogeneity in the size of the gaps that is associated with differences in subjects' knowledge of drinking water quality and disparities in their incomes.
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3

Ayiomamitis, A. "Effects of age misstatement." American Journal of Public Health 77, no. 10 (October 1987): 1355–56. http://dx.doi.org/10.2105/ajph.77.10.1355-c.

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4

Aldersey, J. E., T. S. Sonstegard, J. L. Williams, and C. D. K. Bottema. "Understanding the effects of the bovine POLLED variants." Animal Genetics 51, no. 2 (January 30, 2020): 166–76. http://dx.doi.org/10.1111/age.12915.

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5

Denić, Dragana, Milica Lukić, Gordana Vuleta, and Snežana Savić. "Effects of anti-age cosmetic products: Claims substantiation." Arhiv za farmaciju 67, no. 3 (2017): 209–19. http://dx.doi.org/10.5937/arhfarm1703209d.

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6

Countryman, Amanda M., Philip L. Paarlberg, and John G. Lee. "Dynamic Effects of Drought on the U.S. Beef Supply Chain." Agricultural and Resource Economics Review 45, no. 3 (November 21, 2016): 459–84. http://dx.doi.org/10.1017/age.2016.4.

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This research employs an agricultural sector model that links seasonal crop production with disaggregated livestock production sectors, in tandem with observed quarterly data on U.S. drought conditions to assess the long term economic implications of drought for U.S beef cattle producers. Short term impacts show increases in feed costs as well as increases in cattle slaughter resulting from drought-induced culling. The price of live cattle decreases in the short run; however, feed prices remain above baseline levels, and beef cattle breeding inventories decline in the long run, leading to fewer calves moving through the supply chain.
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7

Lewis, Jason, Kevin Morgan, and Stephen-Mark Cooper. "Relative Age Effects in Welsh Age Grade Rugby Union." International Journal of Sports Science & Coaching 10, no. 5 (October 2015): 797–813. http://dx.doi.org/10.1260/1747-9541.10.5.797.

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8

Wecker, Nancy S., Joel H. Kramer, Amy Wisniewski, Dean C. Delis, and Edith Kaplan. "Age effects on executive ability." Neuropsychology 14, no. 3 (2000): 409–14. http://dx.doi.org/10.1037/0894-4105.14.3.409.

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9

Braun, Doris, Alexander C. Schütz, Jutta Billino, and Karl R. Gegenfurtner. "Age effects on saccadic suppression." Journal of Vision 19, no. 10 (September 6, 2019): 146a. http://dx.doi.org/10.1167/19.10.146a.

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10

Saxe, Friederike, Susann Weichold, Antje Reinecke, Jan Lisec, Anett Döring, Lutz Neumetzler, Ingo Burgert, and Michaela Eder. "Age Effects on Hypocotyl Mechanics." PLOS ONE 11, no. 12 (December 15, 2016): e0167808. http://dx.doi.org/10.1371/journal.pone.0167808.

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11

Harkins, S. W., L. Dougherty, C. Colenda, and D. D. Price. "Chronic pain: adult age effects." Pain 41 (January 1990): S10. http://dx.doi.org/10.1016/0304-3959(90)92158-m.

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12

Veldhuizen, Scott, John Cairney, John Hay, and Brent Faught. "Are Relative Age Effects Just Age Effects? Fitness Testing In A General School Sample." Medicine & Science in Sports & Exercise 46 (May 2014): 648–49. http://dx.doi.org/10.1249/01.mss.0000495415.21224.78.

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13

López-Buesa, P., C. Burgos, A. Galve, and L. Varona. "Joint analysis of additive, dominant and first-order epistatic effects of four genes (IGF2,MC4R,PRKAG3andLEPR) with known effects on fat content and fat distribution in pigs." Animal Genetics 45, no. 1 (September 25, 2013): 133–37. http://dx.doi.org/10.1111/age.12091.

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14

Cerrato Caceres, Belkis, and Jacqueline Geoghegan. "Effects of New Grocery Store Development on Inner-City Neighborhood Residential Prices." Agricultural and Resource Economics Review 46, no. 1 (April 2017): 87–102. http://dx.doi.org/10.1017/age.2016.29.

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A difference-in-differences approach is used to measure the impact of new inner-city grocery store developments on residential housing values in Worcester, Massachusetts. Using geocoded housing sales from 1988–2011, we develop a hedonic model, exploiting temporal and spatial discontinuities, to identify the effect of 12 new grocery stores on neighborhood housing prices. Results suggest these new stores were associated with an increase in sale prices of nearby homes, and these results could help inform current policies related to urban food deserts, in that new grocery stores have the potential to improve neighborhood wealth as well as health.
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15

Muhammad, Andrew, Amanda M. Countryman, and Kari E. R. Heerman. "Effects of Tariff Concessions on Japanese Beef Imports by Product and Source." Agricultural and Resource Economics Review 47, no. 1 (November 23, 2017): 158–77. http://dx.doi.org/10.1017/age.2017.20.

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Withdrawal from the Trans-Pacific Partnership (TPP) could be costly for U.S. beef exports to Japan given existing trade agreements such as the Japan-Australia Economic Partnership Agreement (JAEPA). We estimate the demand for imported beef in Japan by source and product and assess the impact of tariff reductions on exporting countries. Our results suggest JAEPA will result in considerable increases in Australian beef exports to Japan, largely at the expense of the U.S. beef. However, similar tariff reductions for U.S. beef could eliminate these negative effects and even result in a net increase in beef imports from both countries.
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16

Wright, Christopher, John M. Halstead, and Ju-Chin Huang. "Estimating Treatment Effects of Unit-Based Pricing of Household Solid Waste Disposal." Agricultural and Resource Economics Review 48, no. 1 (May 8, 2018): 21–43. http://dx.doi.org/10.1017/age.2018.2.

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Propensity score matching is used to estimate treatment effects when data are observational. Results presented in this study demonstrate the use of propensity score matching to evaluate the average treatment effect of unit-based pricing of household trash for reducing municipal solid waste disposal. Average treatment effect of the treated for 34 New Hampshire communities range from an annual reduction of 631 pounds per household to 823 pounds per household. This represents an annual reduction of 42 percent to 54 percent from an average of 1530 pounds per household if a town did not adopt municipal solid waste user fees.
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17

Zhang, Y. F., Z. Q. Yuan, D. G. Song, X. H. Zhou, and Y. Z. Wang. "Effects ofcannabinoid receptor 1 (brain)on lipid accumulation by transcriptional control ofCPT1AandCPT1B." Animal Genetics 45, no. 1 (August 5, 2013): 38–47. http://dx.doi.org/10.1111/age.12078.

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18

Szyda, J., J. Komisarek, and I. Antkowiak. "Modelling effects of candidate genes on complex traits as variables over time." Animal Genetics 45, no. 3 (March 25, 2014): 322–28. http://dx.doi.org/10.1111/age.12144.

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19

Goetz, Stephan J., and Edward C. Jaenicke. "Special Issue: Advances in the Economic Analysis of Food System Drivers and Effects." Agricultural and Resource Economics Review 48, no. 3 (December 2019): 361–64. http://dx.doi.org/10.1017/age.2019.31.

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National interest in the effects of the U.S. food system has risen to such a level that the Institute of Medicine (IOM) and National Research Council (NRC) of the National Academies was compelled recently to publish A Framework for Assessing Effects of the Food System (IOM/NRC 2015), focusing on health, environmental, and economic and social variables. While providing a useful framework, the volume stopped short of actually carrying out studies to validate or test the assumptions of the framework. In addition to having measurable societal effects, food systems are also being affected by powerful secular forces that range from rising income inequality, consolidation and rationalization in retailing, consumer preferences for local and regional foods, to changes in climate and competition for land associated with urbanization. In parallel, an expanding “food movement” has emerged that, with little formal or rigorous analysis, has become highly critical of the food system and its consequent health, environmental, and economic and social effects.
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20

Tsairidou, S., A. R. Allen, R. Pong-Wong, S. H. McBride, D. M. Wright, O. Matika, C. M. Pooley, et al. "An analysis of effects of heterozygosity in dairy cattle for bovine tuberculosis resistance." Animal Genetics 49, no. 2 (January 24, 2018): 103–9. http://dx.doi.org/10.1111/age.12637.

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21

Bobko, N. A., T. Yu Martynovskaya, and D. A. Gadayeva. "Biological age and chronic fatigue in telephone operators: effects of night works." Ukrainian Journal of Occupational Health 2021, no. 2 (June 25, 2021): 93–101. http://dx.doi.org/10.33573/ujoh2021.02.093.

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22

TANGO, Toshiro. "AGE-PERIOD-COHORT MODEL WITH PERIOD EFFECTS STRATIFIED BY AGE." Japanese Journal of Biometrics 7 (1986): 33–38. http://dx.doi.org/10.5691/jjb.7.33.

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23

Shorel, Lynn McFarlane, and Linda M. Bleicken. "Effects of Supervisor Age and Subordinate Age on Rating Congruence." Human Relations 44, no. 10 (October 1991): 1093–105. http://dx.doi.org/10.1177/001872679104401005.

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24

Clark, Jessica, Jennie S. Garbutt, Luke McNally, and Tom J. Little. "Disease spread in age structured populations with maternal age effects." Ecology Letters 20, no. 4 (March 7, 2017): 445–51. http://dx.doi.org/10.1111/ele.12745.

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25

Naderi, S., M. Bohlouli, T. Yin, and S. König. "Genomic breeding values, SNP effects and gene identification for disease traits in cow training sets." Animal Genetics 49, no. 3 (April 6, 2018): 178–92. http://dx.doi.org/10.1111/age.12661.

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26

Liu, R., M. Zheng, J. Wang, H. Cui, Q. Li, J. Liu, G. Zhao, and J. Wen. "Effects of genomic selection for intramuscular fat content in breast muscle in Chinese local chickens." Animal Genetics 50, no. 1 (November 15, 2018): 87–91. http://dx.doi.org/10.1111/age.12744.

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27

Sanglestsawai, Santi, Divina Gracia P. Rodriguez, Roderick M. Rejesus, and Jose M. Yorobe. "Production Risk, Farmer Welfare, and Bt Corn in the Philippines." Agricultural and Resource Economics Review 46, no. 3 (October 2, 2017): 507–28. http://dx.doi.org/10.1017/age.2017.1.

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We determine the production risk effects and welfare implications of single-trait Bt corn adoption in the Philippines. We use a stochastic production function estimation approach that allows for examining the skewness effects of Bt within a damage abatement specification. Our results indicate that Bt corn has a statistically significant yield increasing, risk-increasing (i.e., variance-increasing) and downside risk-reducing (i.e., skewness-increasing) effects. Based on risk premium, certainty equivalent, and loss probability welfare measures, Bt corn farmers in the Philippines are better-off (in absolute terms) relative to non-Bt farmers given Bt corn's dominant yield increasing effect and downside risk-reducing effect.
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28

Kolstoe, Sonja, Trudy Ann Cameron, and Chad Wilsey. "Climate, Land Cover, and Bird Populations: Differential Impacts on the Future Welfare of Birders across the Pacific Northwest." Agricultural and Resource Economics Review 47, no. 2 (August 2018): 272–310. http://dx.doi.org/10.1017/age.2018.9.

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We use a random utility model for birding destination choices based on the reports of Oregon and Washington State members of the Cornell University Laboratory of Ornithology eBird citizen science project. We estimate spatially differentiated welfare effects that birders may experience as a consequence of forecasted changes in land cover and climate. We predict per-trip welfare effects (equivalent variations) expected under a business-as-usual scenario using published forecasts for both land cover and species richness. We find significant county-level heterogeneity across eBirders in predicted average per-trip welfare effects. The results suggest discernible distributional consequences across active birders in different areas.
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29

Nakata, Hiroki, and Kiwako Sakamoto. "Relative age effects in Japanese athletes." Journal of Physical Fitness and Sports Medicine 3, no. 5 (2014): 467–76. http://dx.doi.org/10.7600/jpfsm.3.467.

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30

Wittmann, Marc, and Sandra Lehnhoff. "Age Effects in Perception of Time." Psychological Reports 97, no. 3 (December 2005): 921–35. http://dx.doi.org/10.2466/pr0.97.3.921-935.

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Despite the widespread belief that the subjective speed of the passage of time increases with age, empirical results are controversial. In this study, a combination of questionnaires was employed to assess subjective time perception by 499 subjects, ages 14 to 94 years. Pearson correlations and nonlinear regression analyses on a variety of questionnaires and the age of the participants show that the momentary perception of the passage of time and the retrospective judgment of past periods of time are a function of chronological age; however, small-to-moderate effects accounted for at most 10% of the variance. Results generally support the widespread perception that the passage of time speeds up with age. These results are discussed in the context of models of prospective and retrospective time judgment, but interpretations have to be treated with caution given methodological limitations.
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31

WITTMANN, MARC. "AGE EFFECTS IN PERCEPTION OF TIME." Psychological Reports 97, no. 7 (2005): 921. http://dx.doi.org/10.2466/pr0.97.7.921-935.

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32

Meyer, Timothy W., and Colin R. Lenihan. "Glomerular Effects of Age and APOL1." Journal of the American Society of Nephrology 26, no. 12 (June 2, 2015): 2901–3. http://dx.doi.org/10.1681/asn.2015040459.

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33

&NA;. "Atenolol??s BP effects age-dependent." Inpharma Weekly &NA;, no. 898 (July 1993): 23. http://dx.doi.org/10.2165/00128413-199308980-00060.

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34

Wecker, Nancy S., Joel H. Kramer, Bradley J. Hallam, and Dean C. Delis. "Mental Flexibility: Age Effects on Switching." Neuropsychology 19, no. 3 (2005): 345–52. http://dx.doi.org/10.1037/0894-4105.19.3.345.

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35

Killingsworth, Clay, Audrey Hill, Pooja Patel, Anna Guidubaldi, Drew Gillett, Mark Neider, and Corey Bohil. "Age effects on category rule learning." Journal of Vision 18, no. 10 (September 1, 2018): 775. http://dx.doi.org/10.1167/18.10.775.

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36

Crede, K. L. "Environmental effects of the computer age." IEEE Transactions on Professional Communication 38, no. 1 (March 1995): 33–40. http://dx.doi.org/10.1109/47.372391.

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37

Dorbath, Lara, and Cora Titz. "Dissociable Age Effects in Focus-Switching." GeroPsych 24, no. 2 (June 2011): 103–9. http://dx.doi.org/10.1024/1662-9647/a000034.

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Focus-switching has recently been identified as an executive control process with differential age sensitivity. To date, the assumption of dissociable age effects is based on only two kinds of tasks constricting its conclusiveness. In a study with 85 younger (19–35 years) and 91 older adults (59–80 years), age effects were again dissociable in two alternative tasks with respect to the availability and the accessibility of representations. The results validate earlier findings that focus-switching is primarily affected in maintaining representations rather than in accessing them.
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38

Awad, Deema, Colin W. G. Clifford, David White, and Isabelle Mareschal. "Asymmetric contextual effects in age perception." Royal Society Open Science 7, no. 12 (December 2020): 200936. http://dx.doi.org/10.1098/rsos.200936.

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Perception is context dependent. For example, the perceived orientation of a bar changes depending on the presence of oriented bars around it. Contextual effects have also been demonstrated for more complex judgements, such as facial attractiveness or expression, although it remains unclear how these contextual facial effects depend on the types of faces surrounding the target face. To examine this, we measured the perceived age (a quantifiable measure) of a target face in the presence of differently aged faces in the surround. Using a unique database of standardized passport photos, participants were asked to estimate the age of a target face which was viewed either on its own or surrounded by two different identity flanker faces. The flanker faces were either both younger or both older than the target face, with different age offsets between flankers and targets of ±5, ±10, ±15, ±20 years. We find that when a target face is surrounded by younger faces, it systematically appears younger than when viewed on its own, and when it is surrounded by older faces, it systematically appears older than when viewed on its own. Surprisingly, we find that the magnitude of the flanker effects on perceived age of the target is asymmetric with younger flankers having a greater influence than older flankers, a result that may reflect the participants' own-age bias, since all participants were young. This result holds irrespective of gender or race of the faces and is consistent with averaging.
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39

Tekcan, Ali İ., and Zehra F. Peynircioğlu. "Effects of age on flashbulb memories." Psychology and Aging 17, no. 3 (2002): 416–22. http://dx.doi.org/10.1037/0882-7974.17.3.416.

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40

Lockhart, Thurmon E., and Wen Shi. "Effects of age on dynamic accommodation." Ergonomics 53, no. 7 (June 24, 2010): 892–903. http://dx.doi.org/10.1080/00140139.2010.489968.

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41

Herman, R. J., C. B. McAllister, R. A. Branch, and G. R. Wilkinson. "Effects of age on meperidine disposition." Clinical Pharmacology and Therapeutics 37, no. 1 (January 1985): 19–24. http://dx.doi.org/10.1038/clpt.1985.5.

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42

&NA;. "The effects of age on pharmacokinetics." Inpharma Weekly &NA;, no. 812 (November 1991): 20. http://dx.doi.org/10.2165/00128413-199108120-00050.

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43

Jackson, F. "Effects of age on breeding performance." Veterinary Record 122, no. 23 (June 4, 1988): 567. http://dx.doi.org/10.1136/vr.122.23.567-b.

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44

Bedford, P. "Effects of age on breeding performance." Veterinary Record 123, no. 1 (July 2, 1988): 39. http://dx.doi.org/10.1136/vr.123.1.39-a.

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45

Cassidy, Brittany S., and Angela H. Gutchess. "Age Effects in Adaptive Criterion Learning." Journals of Gerontology Series B: Psychological Sciences and Social Sciences 71, no. 6 (July 29, 2015): 1015–23. http://dx.doi.org/10.1093/geronb/gbv039.

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46

Weerman, Fred. "Input and age effects: Quo vadis?" Linguistic Approaches to Bilingualism 4, no. 3 (August 8, 2014): 381–86. http://dx.doi.org/10.1075/lab.4.3.15wee.

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47

Roberts, S. B., and G. E. Dallal. "Effects of age on energy balance." American Journal of Clinical Nutrition 68, no. 4 (October 1, 1998): 975S—979S. http://dx.doi.org/10.1093/ajcn/68.4.975s.

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48

Galanter, Cathryn A., Carina Bilich, and B. Timothy Walsh. "Side Effects of Desipramine and Age." Journal of Child and Adolescent Psychopharmacology 12, no. 2 (June 2002): 137–45. http://dx.doi.org/10.1089/104454602760219171.

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49

HERMAN, R. J., C. B. MCALLISTER, R. A. BRANCH, and G. R. WILKINSON. "Effects of Age on Meperidine Disposition." Survey of Anesthesiology 29, no. 5 (October 1985): 300. http://dx.doi.org/10.1097/00132586-198510000-00049.

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50

Caruso, Anthony, M. McClowry, and Ludo Max. "Age-Related Effects on Speech Fluency." Seminars in Speech and Language 18, no. 02 (May 1997): 171–80. http://dx.doi.org/10.1055/s-2008-1064071.

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