Long-term Investors, Demand Shifts, and Yields

2021 ◽  
Author(s):  
Kristy A.E. Jansen
Keyword(s):  
PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260797
Author(s):  
Shade T. Shutters

While ensuring employment opportunities is critical for global progress and stability, workers are now subject to several disruptive trends, including automation, rapid changes in technology and skill requirements, and transitions to low-carbon energy production. Yet, these trends seem almost insignificant compared to labor impact of the COVID-19 pandemic. While much has been written about the pandemic’s short-term impacts, this study analyzes anticipated long-term impacts on the labor force of 2029 by comparing original 2029 labor projections to special COVID-adjusted projections recently published by the US Bureau of Labor Statistics. Results show that future demand for nearly every type of labor skill and knowledge will increase, while the nature of work shifts from physical to more cognitive activities. Of the nearly three million jobs projected to disappear by 2029 due to COVID, over 91% are among workers without a bachelor’s degree. Among workers with a degree demand shifts primarily from business-related degrees to computer and STEM degrees. Results further show that the socialness of labor, which is important for both innovation and productivity, increases in many more industries than it decreases. Finally, COVID will likely accelerate the adoption of teleworking and slightly decrease the rate of workforce automation. These impacts, combined with a shift to more cognitive worker activities, will likely impact the nature of workforce health and safety with less focus on physical injuries and more on illnesses related to sedentary lifestyles. Overall, results suggest that future workers will need to engage more often in training and skill acquisition, requiring life-long learning and skill maintenance strategies.


1985 ◽  
Vol 45 (3) ◽  
pp. 627-643 ◽  
Author(s):  
Kent Osband

The boll weevil's impact on southern agriculture poses a dilemma. Micro-level evidence suggests the weevil triggered a transition out of cotton, but macro-level indicators fail to register much long-term impact. Econometric simulation of boll weevil impact—taking into account the low demand elasticity for southern cotton, differences between states in the timing and levels of infestation, and long-term supply and demand shifts independent of the weevil—shows that the two sets of evidence are not inconsistent.


2020 ◽  
pp. 193896552095384
Author(s):  
Gregory Denton ◽  
Jennifer Sandstrom

Supply and demand imbalances in hotel markets are known to cause short-term growth or declines in rate and are largely (but inefficiently) self-correcting over the long term. However, looking at aggregated monthly supply and demand shifts for a market overlooks the dramatic shifts that typically occur daily within a market. Building on natural occupancy rate theory and using daily performance over a 5-year period for the Seattle Metropolitan Statistical Area (MSA) and submarkets, this study shows that examining daily occupancy patterns provides important insights into average rate growth. Furthermore, the analysis shows that the real average rate growth is a function of not only absolute occupancy levels relative to the market’s natural occupancy rate but also relative changes in occupancy, and that change in occupancy moderates the relationship between occupancy and average rate growth. In addition, submarkets within the MSA have significantly different attributes, including different natural occupancy levels and different responses to changes in occupancy. Implications for hotel investors, managers, and policy planners are then presented.


2019 ◽  
Vol 42 ◽  
Author(s):  
John P. A. Ioannidis

AbstractNeurobiology-based interventions for mental diseases and searches for useful biomarkers of treatment response have largely failed. Clinical trials should assess interventions related to environmental and social stressors, with long-term follow-up; social rather than biological endpoints; personalized outcomes; and suitable cluster, adaptive, and n-of-1 designs. Labor, education, financial, and other social/political decisions should be evaluated for their impacts on mental disease.


2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.


1999 ◽  
Vol 173 ◽  
pp. 189-192
Author(s):  
J. Tichá ◽  
M. Tichý ◽  
Z. Moravec

AbstractA long-term photographic search programme for minor planets was begun at the Kleť Observatory at the end of seventies using a 0.63-m Maksutov telescope, but with insufficient respect for long-arc follow-up astrometry. More than two thousand provisional designations were given to new Kleť discoveries. Since 1993 targeted follow-up astrometry of Kleť candidates has been performed with a 0.57-m reflector equipped with a CCD camera, and reliable orbits for many previous Kleť discoveries have been determined. The photographic programme results in more than 350 numbered minor planets credited to Kleť, one of the world's most prolific discovery sites. Nearly 50 per cent of them were numbered as a consequence of CCD follow-up observations since 1994.This brief summary describes the results of this Kleť photographic minor planet survey between 1977 and 1996. The majority of the Kleť photographic discoveries are main belt asteroids, but two Amor type asteroids and one Trojan have been found.


1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.


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