Peru and Latin American population distribution by per capita income level (% of population), 2004-14

Author(s):  
Carmen Alba Moliner-Sánchez ◽  
José Enrique Iranzo-Cortés ◽  
José Manuel Almerich-Silla ◽  
Carlos Bellot-Arcís ◽  
José Carmelo Ortolá-Siscar ◽  
...  

This work analyzed the available evidence in the scientific literature about the risk of preterm birth and/or giving birth to low birth weight newborns in pregnant women with periodontal disease. A systematic search was carried out in three databases for observational cohort studies that related periodontal disease in pregnant women with the risk of preterm delivery and/or low birth weight, and that gave their results in relative risk (RR) values. Eleven articles were found, meeting the inclusion criteria. Statistically significant values were obtained regarding the risk of preterm birth in pregnant women with periodontitis (RR = 1.67 (1.17–2.38), 95% confidence interval (CI)), and low birth weight (RR = 2.53 (1.61–3.98) 95% CI). When a meta-regression was carried out to relate these results to the income level of each country, statistically significant results were also obtained; on the one hand, for preterm birth, a RR = 1.8 (1.43–2.27) 95% CI was obtained and, on the other hand, for low birth weight, RR = 2.9 (1.98–4.26) 95% CI. A statistically significant association of periodontitis, and the two childbirth complications studied was found, when studying the association between these results and the country’s per capita income level. However, more studies and clinical trials are needed in this regard to confirm the conclusions obtained.


Author(s):  
Markéta Hnízdilová ◽  
Václav Adamec

The study tackles the issue of distribution inequality in equalized per capita income in households defined by multiple grouping criteria in the Czech Republic before, during and after the economic and financial crisis. The factors were economic status of the household head, number of children, education and the NUTS 3 administrative regions. Interval grouped per capita income data assembled within the EU-SILC framework via quota sampling were received from czso.cz for 2008, 2012 and 2016. Indicators of income level, variation, quantiles, medial and Gini index were calculated for the respective household groups. Income concentration in the Czech Republic is considerably low among OECD states and still decreasing due to government social and economic policy and favourable phase of the economic cycle. The largest income inequality was detected in the self-employed, jobless and qualified employees, households with 3 or more children, single-parent families with dependants, households with one or both tertiary educated parents or households residing in Prague or Středočeský region. The threat of poverty is imminent in the jobless, economically inactive pensioners, unqualified labourers and households with 3 or more children. Geographically, the poverty affects households mostly in Moravskoslezský or Ústecký regions. Government measures evidently helped reduce income inequality, poverty and social exclusion in Ústecký region in 2008. The least affected regions by poverty were Prague and Středočeský region. Significant differences in income level or concentration of income distributions by regional and other household grouping criteria were revealed.


2020 ◽  
Vol 17 (4) ◽  
pp. 1-18
Author(s):  
Stanislav Levytskyi ◽  
Oleksandr Gneushev ◽  
Vasyl Makhlinets

The problem of determining the value of statistical life in Ukraine in order to find ways to improve it is an urgent one now. The current level of value is analyzed, which is a direct consequence of the poor quality of life of a citizen, hence his low level. The description of the basic theoretical and methodological approaches to the estimation of the cost of human life is given. Based on the analysis, a number of hypotheses have been advanced about the use of statistical calculations to achieve the modeling objectives. Model calculations are based on the example of Zaporozhye Oblast statistics for 2018–2019. The article elaborates the approach to the estimation of the economic equivalent of the cost of living on the basis of demographic indicators and average per capita income, and also analyzes the possibilities of their application in the realities of the national economy. Using Statistica, the regression equation parameters were determined for statistical data of population distribution of Zaporizhzhia region by age groups for 2018. The calculation parameters were also found using the Excel office application, using the Solution Finder option to justify the quantitative range of metric values. It is proved that the proposed approach to modeling and calculations are simpler and more efficient than the calculation methods proposed earlier. The study concluded that the value of statistical life in Ukraine is significantly undervalued.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256037
Author(s):  
Sergio Curilef ◽  
Diego González ◽  
Carlos Calderón

In this work, we propose a quantitative model for the 2019 Chilean protests. We utilize public data for the consumer price index, the gross domestic product, and the employee and per capita income distributions as inputs for a nonlinear diffusion-reaction equation, the solutions to which provide an in-depth analysis of the population dynamics. Specifically, the per capita income distribution stands out as a solution to the extended Fisher-Kolmogorov equation. According to our results, the concavity of employee income distribution is a decisive input parameter and, in contrast to the distributions typically observed for Chile and other countries in Latin America, should ideally be non-negative. Based on the results of our model, we advocate for the implementation of social policies designed to stimulate social mobility by broadening the distribution of higher salaries.


2015 ◽  
Vol 15 (2) ◽  
Author(s):  
Victor Martin ◽  
Guillermo Vazquez

AbstractThis paper assesses the convergence in per capita income of a group of 18 Latin American countries over the period 1950–2008. We employ a novel regression based convergence test proposed by (Phillips, P. C. B., and D. Sul. 2007. “Transition Modeling and Econometric Convergence Tests.”


1997 ◽  
Vol 2 (4) ◽  
pp. 401-416 ◽  
Author(s):  
M.A. COLE ◽  
A.J. RAYNER ◽  
J.M. BATES

This paper examines the relationship between per capita income and a wide range of environmental indicators using cross-country panel sets. The manner in which this has been done overcomes several of the weaknesses asscociated with the estimation of environmental Kuznets curves (EKCs). outlined by Stern et al. (1996). Results suggest that meaningful EKCs exist only for local air pollutants whilst indicators with a more global, or indirect, impact either increase monotonically with income or else have predicted turning points at high per capita income levels with large standard errors – unless they have been subjected to a multilateral policy initiative. Two other findings are also made: that concentration of local pollutants in urban areas peak at a lower per capita income level than total emissions per capita; and that transport-generated local air pollutants peak at a higher per capita income level than total emissions per capita. Given these findings, suggestions are made regarding the necessary future direction of environmental policy.


Author(s):  
Adrián Valls Carbó ◽  
Juan González del Castillo ◽  
Oscar Miró ◽  
Pedro Lopez-Ayala ◽  
Sonia Jimenez ◽  
...  

Introduction. With the global spread of COVID-19, studies in the US and UK have shown that certain communities have been strongly impacted by COVID-19 in terms of incidence and mortality. The objective of the study was to determine social determinants of health among COVID-19 patients hospitalized in the two major cities of Spain. Material and methods. A multicenter retrospective case series study was performed collecting administrative databases of all COVID-19 patients ≥18 years belonging to two centers in Madrid and two in Barcelona (Spain) collecting data from 1st March to 15th April 2020. Variables obtained age, gender, birthplace and residence ZIP code. From ZIP code we obtained per capita income of the area. Predictors of the outcomes were explored through generalized linear mixed-effects models, using center as random effect. Results. There were 5,235 patients included in the analysis. After multivariable analysis adjusted by age, sex, per capita income, population density, hospital experience, center and hospital saturation, patients born in Latin American countries were found to have an increase in ICU admission rates (OR 1.56 [1.13-2.15], p<0.01) but no differences were found in the same model regarding mortality (OR 1.35 [0.95-1.92], p=0.09). Conclusions. COVID-19 severity varies widely, not only depending on biological but also socio-economic factors. With the emerging evidence that this subset of population is at higher risk of poorer outcomes, targeted public health strategies and studies are needed.


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