Sigma and beta convergence in regional mortality: A case study of the Netherlands

Janssen, Fanny; Hende, A. van Den; Beer, J.A.A. de; Wissen, L.J.G. van

doi:10.4054/demres.2016.35.4

Cited by 39 publications

(30 citation statements)

References 41 publications

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“…The coefficient of variation (CV) belongs to the so-called sigma convergence coefficients [26,27] used to measure the convergence process of selected socio-economic variables. Convergence is an often-discussed issue not only on the country level but also on the regional levels [28][29][30]. To detect the linear relationship between a pair of indicators the correlation and regression analysis were used [24,25].…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Sustainable Development Indicators in the OECD Countries

Megyesiova

Lieskovská

2018

Sustainability

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Sustainable development is a key task for governments that should end poverty, ensure prosperity, create better conditions for health, education or social needs. The set of indicators to be monitored for evaluation of successes or failures of the sustainable development varies by intergovernmental organizations like OECD or EU. To discover the status and dynamics of variables which are part of the sustainable development goals of the OECD countries is the main aim of the presented analysis. To measure the convergence of socio-economic indicators the coefficient of variation was used. The Pearson’s correlations coefficient and regression analysis were applied to detect the linear relationship between a pair of variables. The OECD countries were compared not only by using univariate statistical methods but also by applying a multivariate approach. The cluster analysis and principal component analysis were used for a set of indicators to monitor the countries from a wider perspective. The analyzed indicators GDP per capita or real change in GDP per capita belong to variables of economic activity. Variables of life expectancy at birth, standardized death rates for noncommunicable diseases belong to indicators of health. Altogether fifteen selected indicators were used for a multivariate analysis of OECD countries in two periods of time.

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Section: Methodsmentioning

confidence: 99%

Analysis of the Sustainable Development Indicators in the OECD Countries

Megyesiova

Lieskovská

2018

Sustainability

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“…a negative relationship between the change of an estimate in a period and the level of the estimate in the initial period, and sigma convergence, i.e. decline in the dispersion of mortality distribution (Barro/Sala i Martin 1990;Janssen et al 2016) to test the process of convergence in C50. Beta convergence was carried out by regressing the annual change in C50 in the period t 0 to t 1 with C50 in t 0 for India.…”

Section: Methodology For Mortality Compression and Variability In Agementioning

confidence: 99%

“…However, beta and sigma convergence are better measures in comparison to IQR. Figure 13 provides a summary of convergence in C50 for all population categories in the transitional period, using beta convergence method (Barro/Sala i Martin 1990;Janssen et al 2016). It shows absolute beta convergence in C50.…”

Section: Fig 10mentioning

confidence: 99%

Mortality Compression and Variability in Age at Death in India

Yadav

Arokiasamy

2020

CPoS

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The global rise of life expectancy at birth has attracted worldwide interest, especially in understanding the pace of mortality transition in developing countries. In this study, we assess the progress of mortality transition in India during four decades between 1970 and 2013. We estimate measures of mortality compression and variability in age at death to assess the trends and patterns in mortality compression for India as a whole and its twelve biggest states. The results reveal an unequivocal convergence pattern in mortality compression across the states underpinned by the reduction in premature mortality and emerging homogeneity in mortality. Results by gender show that women are more homogenous in their mortality across the country because of an explicit reduction in the Gini coefficients at age 10 by the age group of 15-29 years. Mortality compression has changed in recent decades because of the increased survival of women in their reproductive ages, which marked a distinct phase of mortality transition in India. The pace of mortality transition, however, varies; adult mortality decline was greater than senescent mortality decline. These results show that India has passed the middle stage of mortality transition and has entered an early phase of low mortality.

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“…The method was rarely applied to demographic data before and, to our knowledge, was never used to analyze the development of regional differences in the population age composition. Previous demographic papers used convergence analysis techniques to study spatio-temporal regularities in mortality (Edwards 2011;Edwards and Tuljapurkar 2005;Goesling and Firebaugh 2004;Janssen et al 2016;Neumayer 2004;Richardson et al 2014;Tuljapurkar and Edwards 2011), fertility (Dorius 2008;Wilson 2011), and migration (Barro and Sala-i-Martin 2003;Huber and Tondl 2012;Kubis and Schneider 2015;Ozgen et al 2010).…”

Section: Demographic Transition and Convergence In Agingmentioning

confidence: 99%

Decomposition of regional convergence in population aging across Europe

Kashnitsky

Beer

Wissen

2017

Preprint

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In the face of rapidly aging population, decreasing regional inequalities in population composition is one of the regional cohesion goals of the European Union. To our knowledge, no explicit quantification of the changes in regional population aging differentiation exist. We investigate how regional differences in population aging developed over the last decade and how they are likely to evolve in the coming three decades, and we examine how demographic components of population growth contribute to the process. We use the beta-convergence approach to test whether regions are moving towards a common level of population aging. The change in population composition is decomposed into the separate effects of changes in the size of the non-working-age population and of the working-age population. The latter changes are further decomposed into the effects of cohort turnover, migration at working ages, and mortality at working ages. European Nomenclature of Territorial Units for Statistics (NUTS)-2 regions experienced notable convergence in population aging during the period 2003–2012 and are expected to experience further convergence in the coming three decades. Convergence in aging mainly depends on changes in the population structure of East-European regions. Cohort turnover plays the major role in promoting convergence. Differences in mortality at working ages, though quite moderate themselves, have a significant cumulative effect. The projections show that when it is assumed that net migration flows at working ages are converging across European regions, this will not contribute to convergence of population aging. The beta-convergence approach proves useful to examine regional variations in population aging across Europe.

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Sigma and beta convergence in regional mortality: A case study of the Netherlands

Cited by 39 publications

References 41 publications

Analysis of the Sustainable Development Indicators in the OECD Countries

Analysis of the Sustainable Development Indicators in the OECD Countries

Mortality Compression and Variability in Age at Death in India

Decomposition of regional convergence in population aging across Europe

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