INTERNET DIFFUSION AMONG OLDER PERSONS IN EUROPE—A STATISTICAL ANALYSIS OF SHARE DATA

The District of Columbia is enjoying rapid growth in cycling, evident through trends in census mode share data and in the presence of more cyclists out on the street. The District Department of Transportation (DOT) has spent significant resources in the past two decades to improve active transportation planning, outreach, and infrastructure delivery. These efforts have led to the District’s recognition as a cycling-friendly city. Now the District DOT is taking stock of what has been done to improve cycling thus far and to determine what to do next. The District DOT is starting to ask what is driving the growth in the cycling mode share. How can the District understand, nurture, and expand on that growth in the cycling mode share? This study explored underlying relationships in which the District’s cycling mode share was present. The analysis dug deeply by doing ( a) a statistical analysis to identify key factors that influenced cycling and ( b) a spatial analysis that defined trends in accessibility to cycling facilities and the mobility of the cycling network. Findings from this research will help inform District DOT planners on what policy, operational, outreach, and capital investment levers to consider as they continue to promote cycling in the District going forward.

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Childlessness, geographical proximity and non-family support in 12 European countries

Ageing and Society ◽

10.1017/s0144686x21000313 ◽

2021 ◽

pp. 1-26

Author(s):

Agnieszka Fihel ◽

Małgorzata Kalbarczyk ◽

Anna Nicińska

Keyword(s):

Family Support ◽

Adult Children ◽

Older Persons ◽

Support Networks ◽

European Countries ◽

Informal Support ◽

Geographical Proximity ◽

Older Parents ◽

Share Data ◽

Living Children

Abstract The number of relatives and geographical proximity between them affects informal support provided to older persons. In this study, we investigate whether (a) childless persons and parents living remotely from their adult children experience similar shortages in informal support, and (b) whether neighbours, friends and other non-family helpers compensate for these shortages. On the basis of Survey on Health, Ageing and Retirement in Europe (SHARE) data for 12 European countries, we estimate the probability and amount of informal non-financial support received by persons aged 65 and over who remain childless or live at different distances to their children. The contribution of non-family individuals is rather complementary to the help from family. Parents residing in the proximity of their children rely almost exclusively on family; as the geographical distance between adult children and older parents increases, the probability and amount of non-family support increase as well. But childless individuals differ from parents of remotely living children: the former rely on smaller support networks and resort more often to other relatives than the latter. Non-family individuals compensate for the scarcity of informal support only in the case of parents of distant children, but not in the case of childless individuals.

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Socio-demographic Risk Factors Related to Material Deprivation Among Older Persons in Europe: A Comparative Analysis Based on SHARE Data

International Perspectives on Aging - Social Exclusion in Later Life ◽

10.1007/978-3-030-51406-8_3 ◽

2021 ◽

pp. 31-46

Author(s):

Merle Sumil-Laanemaa ◽

Luule Sakkeus ◽

Allan Puur ◽

Lauri Leppik

Keyword(s):

Older Persons ◽

Material Deprivation ◽

Welfare Regimes ◽

Older Population ◽

Cross Sectional ◽

Number Of Children ◽

Share Data ◽

Socio Demographic Factors ◽

Demographic Risk ◽

Demographic Risk Factors

AbstractMaterial deprivation is a key aspect of social exclusion, and the domain of economic exclusion, for the older population. In this chapter we utilised cross-sectional data from Wave 5 (2013) of the Survey of Health and Retirement in Europe (SHARE) and logistic regression analysis to assess the variation in material deprivation of the population aged 50+ across four geographic clusters of welfare regimes in Europe. We used the SHARE-based Material Deprivation Index (MDI) to assess the associations between material deprivation and socio-demographic factors (age, gender, education, economic activity status, household type, number of children, residential area, chronic diseases and limitations of daily activities, and origin). We observed a pronounced variation in material deprivation among the older population across welfare clusters, with high levels of MDI in the Eastern and Southern clusters. Living alone, having a large number of children, low education, activity limitations, and being of immigrant origin significantly increase the risk of material deprivation in older age in all clusters. The study also identified subgroups of older persons that have an increased risk of material deprivation in some but not all clusters, such as those aged 80+ and rural residents in the Southern and Eastern clusters.

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Grandchild Caring and Late-Life Depression: A Comparative Longitudinal Study in China and Europe

Journal of Family Issues ◽

10.1177/0192513x211050327 ◽

2021 ◽

pp. 0192513X2110503

Author(s):

Yazhen Yang

Keyword(s):

Older Persons ◽

Depression Score ◽

Theoretical Development ◽

Future Research ◽

Care Provision ◽

Late Life Depression ◽

Causal Pathways ◽

Grandchild Care ◽

Share Data ◽

The Impact

The impact of grandparenting on the grandparents’ health has been relatively under-studied. This study examined country differences in the effects of grandchild care provision on the grandparents’ depression in Italy, Spain, China, Denmark and Sweden using the longitudinal Harmonised CHARLS and SHARE data collected between 2010–2015. Controlling for the grandparents’ depression in 2011, grandmothers providing non-intensive grandparental care in Sweden in 2013 reported lower depression score in 2015 compared to those who did not provide any care in 2013. Chinese grandfathers, Italian and Swedish grandmothers who provided intensive grandchild care reported lower depression score compared to their counterparts who did not provide any grandchild care. This study indicates that the Structural Ambivalence Theory can only partially explain the findings, suggesting further theoretical development in this area. Future research can focus on identifying the causal pathways between grandparenting and wellbeing, and the implications of such pathways for older persons’ wellbeing worldwide.

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Is There Convergence in National Alcohol Consumption Patterns? Evidence from a Compositional Time Series Approach

Journal of Wine Economics ◽

10.1017/jwe.2018.2 ◽

2018 ◽

Vol 13 (1) ◽

pp. 92-98 ◽

Cited By ~ 8

Author(s):

Terence C. Mills

Keyword(s):

Time Series ◽

Statistical Analysis ◽

Alcohol Consumption ◽

Statistical Approach ◽

Consumption Patterns ◽

Data Sets ◽

Share Data ◽

Time Series Approach ◽

Global Mean ◽

Jel Classifications

AbstractHolmes and Anderson (2017a) introduce two extensive data sets on world alcohol consumption and expenditure and with them investigate, among other things, the possible convergence of national alcohol consumption patterns using wine, beer, and spirit shares. Such share data define a composition, on which conventional statistical analysis using covariances and correlations is invalid. This note reanalyses the data using techniques appropriate for a composition and introduces a statistic that can validly track the variation in national shares around the global mean through time. This variability statistic shows that such convergence of national alcohol patterns has clearly taken place over the period 1961 to 2014 and thus confirms Holmes and Anderson's findings using a valid statistical approach. (JEL Classifications: C18, D12, L66)

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Grandchild Caring and Late-Life Depression: A Comparative Longitudinal Study in China and Europe

Innovation in Aging ◽

10.1093/geroni/igab046.1519 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 392-392

Author(s):

Yazhen Yang

Keyword(s):

Longitudinal Study ◽

Older Persons ◽

International Comparisons ◽

Future Research ◽

Care Provision ◽

Late Life Depression ◽

Causal Pathways ◽

Share Data ◽

Country Differences ◽

The Impact

Abstract The impact of grandparenting on the grandparents’ health has been relatively under-studied, and international comparisons can provide useful lessons for grandparents and policymakers. This study examined country differences in the effects of grandchild care provision on the grandparents’ depression in Italy, Spain, China, Denmark and Sweden using the longitudinal Harmonised CHARLS and SHARE data collected between 2010-5. Controlling for the grandparents’ depression in 2011, grandparents providing non-intensive grandparental care in China, Sweden and Denmark in 2013 were less likely to report depression in 2015 compared to those who did not provide any care in 2013. Such effects were more pronounced among grandmothers compared to grandfathers. The results indicate that the effects of grandchild caring on the grandparents’ depression in China was comparable to Denmark and Sweden. Future research can focus on identifying the causal pathways between grandparenting and wellbeing, and the implications of such pathways for older persons’ wellbeing worldwide.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010013064x ◽

1992 ◽

Vol 50 (2) ◽

pp. 1202-1203

Author(s):

Gianluigi Botton ◽

Gilles L'espérance

Keyword(s):

Statistical Analysis ◽

Spatial Resolution ◽

Personal Computer ◽

Systematic Study ◽

Present Author ◽

Chemical Elements ◽

Detection Limits ◽

Research Groups ◽

Quantitative Performance ◽

Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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