‘No man is an island entire of itself.’ The hidden effect of peers on physical activity

Downward, Paul; Rasciute, Simona

doi:10.1016/j.socscimed.2016.09.038

Cited by 11 publications

(12 citation statements)

References 26 publications

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“…This indicates that different environments can jointly influence the formation of people's behaviour -as confirmed by other studies (Franzini et al, 2010;Sallis et al, 2006). Downward and Rasciute (2016) show that the SA of other household members contributes to activation, and this effect is particularly strong for women. (Downward & Rasciute, 2016).…”

Section: Discussionsupporting

confidence: 77%

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Socio Ecological Profiles of Participants in Sports Activity in Poland Random Tree Based Analysis

2021

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While the benefits of sports activity are well-documented, people remain reluctant to engage in it in selected developed countries (including Middle and Eastern Europe). A comparison of empirical results indicates that the reasons behind such behaviour are heterogenous and complex. As implied by the socio-ecological framework, different spheres of life and the interactions between them matter. By using the results of a study on Polish society conducted in 2015, Social Diagnosis, and a random forest model, we show the key demographic, socio-economic characteristics and interactions between them in explaining the difference between engaging in sports activity and not doing so. In particular, we identify three crucial variables: age, participation of other adults in the same household in sports activity, and proclivity for restaurants, bars, pubs.

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Section: Discussionsupporting

confidence: 77%

“…Downward and Rasciute (2016) show that the SA of other household members contributes to activation, and this effect is particularly strong for women. (Downward & Rasciute, 2016). By influencing each other and to some extent SA, they can become moderators of this activity.…”

Section: Discussionmentioning

confidence: 87%

Socio Ecological Profiles of Participants in Sports Activity in Poland Random Tree Based Analysis

2021

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“…The relevance of the dynamic model can be seen by conducting a test for first‐order serial correlation in the residuals of the static fixed effects model. The corresponding Wald statistic is highly significant and reveals the presence of dynamic behaviour (see Downward & Rasciute, ; Wooldridge, ).…”

Section: Resultsmentioning

confidence: 99%

“…The relevance of the dynamic model can be seen by conducting a test for first-order serial correlation in the residuals of the static fixed effects model. The corresponding Wald statistic is highly significant and reveals the presence of dynamic behaviour (see Downward & Rasciute, 2016;Wooldridge, 2002). The OLS estimates of our dynamic model show that the relationship between age and risk attitude is weaker, with the coefficient on both age and age squared being substantially smaller compared to their static OLS counterparts.…”

Section: Preliminary Resultsmentioning

confidence: 99%

“…We extend standard empirical models by considering the potential role of past risk attitude in influencing present risk attitude. The use of dynamic panel estimators is increasingly popular in the contemporary literature (see e.g., Arellano & Bond, ; Blundell & Bond, ; Downward & Rasciute, ; Powdthavee, ; Roodman, ), and has the advantage that it minimises the problem of endogeneity of lagged risk attitude in modelling its effects. Our primary goal is to assess whether, and to what extent, age effects matter for risk attitude across different groups of individuals within the population.…”

Section: Introductionmentioning

confidence: 99%

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Financial risk attitudes and aging in Australia

Kesavayuth

Zikos

2020

Australian Economic Papers

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A number of empirical studies document that people tend to become more risk averse as they get older. But other studies find only little evidence that age matters for financial risk attitudes. This prompts a call for revisiting the relationship between age and risk attitude to better support policy recommendations. The current paper contributes to this effort by utilising large‐scale population data to conduct a dynamic panel analysis. Care is taken to avoid the problem of endogeneity of lagged risk attitude in modelling its effects. Analysis reveals that individuals' past risk attitude has a positive effect on their current risk attitude. However, there is only little evidence that risk attitude and age are systematically related. Our results shed some light on the previous contradictory empirical findings in the literature and suggest that past risk attitude is potentially of greater relevance than chronological age in determining current risk attitude.

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Mental health and smoking behavior

Yang

Zikos

2023

Economic Modelling

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‘No man is an island entire of itself.’ The hidden effect of peers on physical activity

Cited by 11 publications

References 26 publications

Socio Ecological Profiles of Participants in Sports Activity in Poland Random Tree Based Analysis

Socio Ecological Profiles of Participants in Sports Activity in Poland Random Tree Based Analysis

Financial risk attitudes and aging in Australia

Mental health and smoking behavior

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