Cross-sectional analysisComputational financeReinforcement learning (RL) for dynamic asset allocation is an emerging field of study. Total return, the common performance metric, is useful for comparing algorithms but does not help us determine how close an RL algorithm is to an optimal solution. In...
This paper explores the nature of crosssectional data, their applications and their limitations, using sample data from Burundi, Uganda and Zimbabwe. Methods of analysis which treat the data as continuous or dichotomous are compared. The conclusion is that cross-sectional data can make a valuable ...
Cross-sectional data were used from the Experience Survey on Healthcare Use of Older Adults during the COVID-19 (COVID-19 Survey) in Korea (n = 1,917). Our main outcome, unmet healthcare need, was measured based on self-reported experience of overall, regular, and irregular outpatien...
Using data on identical and fraternal twins’ complete financial portfolios, we decompose the cross-sectional variation in investor behavior. We find that a genetic factor explains about one-third of the variance in stock market participation and asset allocation. Family environment has an effect on ...
Dementia is a pressing problem for families and society. In 2019, a total of 57.4 million people worldwide were estimated to be living with dementia, and this number will almost double every 20 years, especially in Africa and the Middle East. This study
Method We analyzed cross-sectional data from 256 participants of the Baltimore Longitudinal Study of Aging (BLSA), a study of normative aging. All underwent measurement of arterial pulse wave velocity (PWV), an index of vascular stiffness, as well as hand radiographs that were graded for ...
2. Cross-Sectional Surveys Cross-sectional surveys are used to collect data from a sample of the target population at a specific point in time. Researchers evaluate various variables simultaneously to understand the relationships and patterns within the data. ...
Nature or nurture: What determines investor behavior? Using data on identical and fraternal twins’ complete financial portfolios, we decompose the cross-sectional variation in investor behavior. We find that ... CS Siegel - 《Journal of Financial Economics》...
Methods: A systematic review of cross-sectional and longitudinal observational studies examining the association between measures of young people's social networks based on sociometric data and eating behaviours (including calorific intake) and/or bodyweight. Results: There is consistent evidence that ...
Although making an interesting contribution to the field, the present study faces some limitations. First, data was cross-sectional, and thus, causal relations cannot be reached. Future research may expand these results by conducting longitudinal research to establish whether changes in teachers’ engag...