Found 7 article(s) for author 'S V Subramanian'

Social determinants of health and the International Monetary Fund

Social determinants of health and the International Monetary Fund. S V Subramanian, June 9, 2017, Paper, “Education is considered an important social determinant of health (1, 2). Higher levels of educational attainment appear to be health-enhancing for those who have them (3), and provide intergenerational health benefits for their children (4) as well as their parents (5). Increased knowledge and skills leading to higher wages, as well as psychosocial advantages, such as social standing and control beliefs, are posited as mechanisms that link higher education and improved health (1, 2).Link

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Multilevel Geographies of Poverty in India

Multilevel Geographies of Poverty in India. S V Subramanian, November 2016, Paper, “Since the economic reforms in India in 1991, there has been a proliferation of studies examining trends of economic development and poverty across the country. To date, studies have used single-level analyses with aggregated data either at the state level or, less commonly, at the region and district levels. This is the first comprehensive and empirical quantification of the relative importance of multiple geographic levels in shaping poverty distribution in India. We used multilevel logistic models to partition variation in poverty by levels of states, regions, districts, villages, and households. We also mapped the residuals at the state, region and district levels to visualize the geography of poverty. We used data on 35 states, 88 regions, 623 districts, 25,390 villages and 202,250 households from the National Sample Survey in years 2009-10 and 2011-12.” Link

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Multilevel Geographies of Poverty in India

Multilevel Geographies of Poverty in India. S V Subramanian, August 2016, Paper,  “Since the economic reforms in India in 1991, there has been a proliferation of studies examining trends of economic development and poverty across the country. To date, studies have used single-level analyses with aggregated data either at the state level or, less commonly, at the region and district levels. This is the first comprehensive and empirical quantification of the relative importance of multiple geographic levels in shaping poverty distribution in India. We used multilevel logistic models to partition variation in poverty by levels of states, regions, districts, villages, and households. We also mapped the residuals at the state, region and district levels to visualize the geography of poverty. We used data on 35 states, 88 regions, 623 districts, 25,390 villages and 202,250 households from the National Sample Survey in years 2009–10 and 2011–12.Link

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Regional Estimates of Poverty and Inequality in India, 1993–2012

Regional Estimates of Poverty and Inequality in India, 1993–2012. S V Subramanian, June 24, 2015, Paper, “Using three quinquennial rounds of consumption expenditure data over two decades (1993–2012), this paper estimates the extent of money metric poverty and inequality in regions of India. Regions are made comparable, and the poverty head count ratio and the poverty gap ratio for 81 regions are derived using the state specific poverty lines as recommended by the Planning Commission of India. The gini index, rich–poor ratio and regression analyses are used to understand the extent of economic inequality in regions of India…Link

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The ‘dark side’ of social capital: trust and self-rated health in European countries

The ‘dark side’ of social capital: trust and self-rated health in European countries. S.V. Subramanian, Ichiro Kawachi, May 27, 2015, Paper. “Generalized interpersonal trust (as an indicator of social capital) has been linked to health status at both the individual and ecological level. We sought to examine how changes in contextual and individual trust are associated with changes in self-rated health in the European Social Surveys 2002–12. Methods: A multilevel analysis using a variance components model was performed on 203 452 individuals nested within 145 country cohorts covering 35 countries. Conditional on...” Link

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National economic development and disparities in body mass index: a cross-sectional study of data from 38 countries

National economic development and disparities in body mass index: a cross-sectional study of data from 38 countries. S V Subramanian, 2014, Paper. “BACKGROUND: Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES)….” Link Verified October 12, 2014

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Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income countries

Association between economic growth and early childhood undernutrition: evidence from 121 Demographic and Health Surveys from 36 low-income and middle-income countries. Sebastian Vollmer, Jocelyn Finlay, S V Subramanian, 2013, Paper. “Increasing economic growth, as measured through increases in per-head gross domestic product (GDP), is the cornerstone of development policy for most national governments…” May require purchase or user account. Link Verified Ocotber 12, 2014

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