Unemployment and mortality: Evidence from the PSID

Halliday, Timothy J.

doi:10.1016/j.socscimed.2014.04.038

Cited by 39 publications

(33 citation statements)

References 23 publications

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“…There exist only partial studies examining only one country (Scheiring et al 2017), one socioeconomic indicator (Halliday 2013), using other socioeconomic measures (Vandenheede et al 2014), one specific cause of mortality (Bandosz et al 2012), or only all-cause mortality (Rosicova et al 2016). To our best knowledge, our study is the first one to perform such a comprehensive research covering all V4 countries at NUTS2 level, all-cause mortality and four most common causes of death as well as education, unemployment and risk of poverty as a three socioeconomic indicators.…”

Section: Introductionmentioning

confidence: 99%

Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

Bosakova

Rosicova²,

Bobakova

et al. 2018

Int J Public Health

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Objectives: Large socioeconomic inequalities in health are still present in the Central Europe. The aim was to explore socioeconomic inequalities in mortality in Visegrad countries Czech Republic, Hungary, Poland and Slovakia (V4), by three different socioeconomic indicators (unemployment, risk of poverty/social exclusion, education). The study was conducted within the H2020 Eurohealthy project. Methods: The associations between selected socioeconomic indicators and the standardized mortality rates by four main causes (mortality related to cancer, circulatory, respiratory and digestive system) in the active population aged 20 64 years in the 35 NUTS 2 regions of the V4 in the period 2011 2013 were explored, using linear regression models. Results: Lower education level was the most significant predictor of mortality in the V4. The lowest mortality rates by all causes of death were found in the regions of Czech Republic, the highest in regions of Hungary. Conclusions: Despite the common origin, the pathways of the V4 countries in employment, poverty and education seem to be different, also having impact on health equity. Therefore, where you live in the V4 can significantly influence your health.

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Section: Introductionmentioning

confidence: 99%

Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

Bosakova

Rosicova²,

Bobakova

et al. 2018

Int J Public Health

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“…The first uses quasi‐experimental methods. For example, the studies by Strully, and Sullivan and von Wachter, , which were mentioned above, as well as Browning et al ., and Halliday, look at the relationship between job loss (or unemployment in the case of Halliday, ) and health while adjusting for a variety of control variables which is essentially a “selection‐on‐observables” strategy. Others such as Frijters et al ., and Meer et al ., have used exogenous variation generated by German reunification and inheritances, respectively, to produce credible evidence of causal effects of SES on health.…”

Section: Introductionmentioning

confidence: 99%

Earnings Growth and Movements in Self‐Reported Health

Halliday

2016

Review of Income and Wealth

Self Cite

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We employ data from the Panel Study of Income Dynamics to investigate income to health causality. To account for unobserved heterogeneity, we focus on the relationship between earnings growth and changes in self-reported health status. Causal claims are predicated upon appropriate moment restrictions and specification tests of their validity. We find evidence of Granger-type causality running from income to health for married men but not for women * Address: 2424 Maile Way; Saunders Hall 533; Honolulu, HI 96822. Tele: (808) 956-8615. Email: halliday@hawaii.edu. This is a substantially revised version of an earlier paper titled, "Income Volatility and Health." The usual disclaimer applies. 1 or single men. These effects are more pronounced for younger men and the poor. The former may be the consequence of permanent earnings shocks.

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“…Firstly, the unemployment variable marked represents total unemployment rate as a share of the unemployed population of the labour force as percentage. It is applied also in the several studies in such analyses (Gravelle et al, 2012;Halliday, 2014;European Commission, 2016;Gavurová et al, 2017a,b). Secondly, the variables of the unemployed population with secondary education marked and the unemployed population with tertiary education marked from 25 years of age to 64 years of age is involved in the model.…”

Section: Methodological Approachmentioning

confidence: 99%

Quantification of relationship between cardiovascular diseases mortality rate and selected socio-economic indicators – comparative analysis of the Czech Republic and the Slovak Republic

Gavurová¹,

Huculová²,

Kováč³

2019

Economics &Amp; Sociology

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The paper deals with an issue of the cardiovascular diseases mortality, which is currently the main cause of all the deaths, not only in the Czech Republic and in the Slovak Republic, but also globally. The main objective of the study is to analyse and to quantify the relationship between the cardiovascular diseases mortality rate and the selected socioeconomic indicators at the national level of the explored countries. Consequently, the results of the surveyed countries are compared by application a distance method from a fictitious object. As the results of the analysis show, from the selected socioeconomic factors, the health expenditures play a significant role-this determinant in the Czech Republic had a higher impact on the possible decrease in mortality than in the Slovak Republic. The other major socioeconomic factors are the unemployment rate, the secondary education unemployment rate, the tertiary education unemployment rate, and gross domestic product growth rate. They have different impact on the cardiovascular diseases mortality in the individual countries. This mortality rate is also analysed among the regions where significant regional disparities occur. The results of the comparative study provide an important platform for national and regional policymakers in the health and social field. They can also provide important information for national and international benchmarking.

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Unemployment and mortality: Evidence from the PSID

Cited by 39 publications

References 23 publications

Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

Mortality in the Visegrad countries from the perspective of socioeconomic inequalities

Earnings Growth and Movements in Self‐Reported Health

Quantification of relationship between cardiovascular diseases mortality rate and selected socio-economic indicators – comparative analysis of the Czech Republic and the Slovak Republic

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