International audience ; The study aims to determine the effect of health expenditures on economic growth while taking into account the quality of health institutions, keeping in view the fact that it's not just the level, rather quality of expenditures or institutions that matters. Our hypothesis was where institutions are better health investment in health brings more economic growth as compared to those with low quality institutions. To attain that objective the standard neo-classical Solow Growth Model at steady-state level was taken as theoretical framework and made a production function adding institutional quality proxied by government effectiveness along with other variables like health expenditure, primary education completion rate, population growth etc. For estimation purposes, data for the sample of 20 South, East Asian and Pacific developing countries was used for the period 1995-2017. It was found that if health expenditures adjusted for the quality of government expenditures increase by 100%, then the economic growth will increase by 5%.
International audience ; The study aims to determine the effect of health expenditures on economic growth while taking into account the quality of health institutions, keeping in view the fact that it's not just the level, rather quality of expenditures or institutions that matters. Our hypothesis was where institutions are better health investment in health brings more economic growth as compared to those with low quality institutions. To attain that objective the standard neo-classical Solow Growth Model at steady-state level was taken as theoretical framework and made a production function adding institutional quality proxied by government effectiveness along with other variables like health expenditure, primary education completion rate, population growth etc. For estimation purposes, data for the sample of 20 South, East Asian and Pacific developing countries was used for the period 1995-2017. It was found that if health expenditures adjusted for the quality of government expenditures increase by 100%, then the economic growth will increase by 5%.
Part I: Healthy Aging, Healthy Life Years Lost and Health Expenditure Allocation -- Chapter 1. Relation of the Weibull Shape Parameter with the Healthy Life Years Lost Estimates: Analytic Derivation and Estimation from an Extended Life Table -- Chapter 2. Direct Healthy Life Expectancy Estimates from Life Tables with a Sullivan Extension. Bridging the Gap Between HALE and Eurostat Estimates -- Chapter 3. Modeling the Health Expenditure in Japan, 2011. A Healthy Life Years Lost Methodology -- Chapter 4. Healthy Ageing in Czechia -- Chapter 5. Evolution of Systems with Power-Law Memory: Do We Have to Die? -- Part II: Mortality Modeling and Applications -- Chapter 6. Structural Equation Modeling: Infant Mortality Rate in Egypt Application -- Chapter 7. Modeling of mortality in elderly by lung cancer in the Northeast of Brazil -- Chapter 8. Demographics of the Russian pension reform -- Chapter 9. Using the Developing Countries Mortality Database (DCMD) to Probabilistically Evaluate the Completeness of Death Registration at Old Ages -- Chapter 10. Mortality developments in Greece from the cohort perspective -- Chapter 11. On demographic approach of the BGGM distribution parameters on Italy and Sweden -- Chapter 12. Alcohol consumption in selected European countries -- Part III: Birth-Death Process, Self-perceived Age and Gender Differences -- Chapter 13. Modelling monthly birth and deaths using Seasonal Forecasting Methods as an input for population estimates -- Chapter 14. Births by order and childlessness in the post-socialist countries -- Chapter 15. On the evaluation of 'Self-perceived Age' for Europeans and Americans -- Part IV: Theoretical Issues and Applications -- Chapter 16. Spatio-temporal aspects of community well-being in Multivariate Functional Data approach -- Chapter 17. Properties and Dynamics of the Beta Gompertz Generalized Makeham Distribution -- Chapter 18. Increasing efficiency in the EBT algorithm -- Chapter 19. Psychometric validation of constructs defined by ordinal-valued items -- Chapter 20. Robust Minimal Markov Model for Dengue Virus Type 3 -- Chapter 21. Determining influential factors in spatio-temporal models -- Chapter 22. Describing labour market dynamics through Non Homogeneous Markov System theory -- Part V: Life-time, Survival, Pension, Labor Force and Further Estimates -- Chapter 23. The wide variety of regression models for lifetime data -- Chapter 24. Analysing the risk of bankruptcy of firms: survival analysis, competing risks and multistate models -- Chapter 25. A bayesian modeling approach to private preparedness behavior against flood hazards -- Chapter 26. Assessing labour market mobility in Europe -- Chapter 27. The implications of applying alternative-supplementary measures of the unemployment rate to regions: Evidence from the European Union Labour Force Survey for Southern Europe, 2008-2015 -- Chapter 28. Reverse Mortgages: Risks and Opportunities -- Chapter 29. Estimating the Health State at Retirement: A Stochastic Modeling Approach.
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International audience The study aims to determine the effect of health expenditures on economic growth while taking into account the quality of health institutions, keeping in view the fact that it's not just the level, rather quality of expenditures or institutions that matters. Our hypothesis was where institutions are better health investment in health brings more economic growth as compared to those with low quality institutions. To attain that objective the standard neo-classical Solow Growth Model at steady-state level was taken as theoretical framework and made a production function adding institutional quality proxied by government effectiveness along with other variables like health expenditure, primary education completion rate, population growth etc. For estimation purposes, data for the sample of 20 South, East Asian and Pacific developing countries was used for the period 1995-2017. It was found that if health expenditures adjusted for the quality of government expenditures increase by 100%, then the economic growth will increase by 5%.
The study aims to determine the effect of health expenditures on economic growth while taking into account the quality of health institutions, keeping in view the fact that it's not just the level, rather quality of expenditures or institutions that matters. Our hypothesis was where institutions are better health investment in health brings more economic growth as compared to those with low quality institutions. To attain that objective the standard neoclassical Solow Growth Model at steady-state level was taken as theoretical framework and made a production function adding institutional quality proxied by government effectiveness along with other variables like health expenditure, primary education completion rate, population growth etc. For estimation purposes, data for the sample of 20 South, East Asian and Pacific developing countries was used for the period 1995-2017. It was found that if health expenditures adjusted for the quality of government expenditures increase by 100%, then the economic growth will increase by 5%.
California's state government, employers and households are concerned about the future affordability of healthcare. We use health expenditure data from the Centers for Medicare & Medicaid Services' Office of the Actuary to forecast California's health expenditures from 2013 to 2022 and identify factors driving expenditure increases. Real health expenditures per capita (2013$) are forecasted to increase from $8,398 to $11,421 (or 36%), resulting in health expenditures increasing from 14.5% to 16.0% of California's economy. Expenditure increases are mostly driven by gains in real income per capita (40-60%), followed by medical-specific inflation (23%), an aging population (14%), and insurance coverage gains (8%). The -4% to 16% residual is attributable to changes in the volume and mix of services and technology. Several innovations could potentially dampen these increases, such as shared-risk, value-based payment models, practice redesign initiatives, lower cost settings and healthcare professionals, many of which are found in accountable care organizations.
International audience ; Pakistan being a lower-middle-income country, is always being able to allocate less than or around 2% of GDP to health due to which Out-of-Pocket payments have a very large share in Pakistan's total health financing. Hence, when this OOP health expenditure exceeds a defined threshold of the Household's Nonfood consumption expenditure then the Household faces financial catastrophe. This research sheds light on the features that can make households in Pakistan more vulnerable to catastrophic health expenses and fills the gap by analyzing the determinants of Catastrophic health expenditures of Pakistan and discusses the incidence and intensity of these Catastrophic health expenditures. We have used survey data of Household Integrated Economic Survey (HIES) of Pakistan for the year 2015-2016 for 24238 households. It contains household information including education, income, consumption expenditure, and health expenditures. As anticipated, some determining factors significantly increase the risk of facing catastrophic health expenditures.
International audience ; Pakistan being a lower-middle-income country, is always being able to allocate less than or around 2% of GDP to health due to which Out-of-Pocket payments have a very large share in Pakistan's total health financing. Hence, when this OOP health expenditure exceeds a defined threshold of the Household's Nonfood consumption expenditure then the Household faces financial catastrophe. This research sheds light on the features that can make households in Pakistan more vulnerable to catastrophic health expenses and fills the gap by analyzing the determinants of Catastrophic health expenditures of Pakistan and discusses the incidence and intensity of these Catastrophic health expenditures. We have used survey data of Household Integrated Economic Survey (HIES) of Pakistan for the year 2015-2016 for 24238 households. It contains household information including education, income, consumption expenditure, and health expenditures. As anticipated, some determining factors significantly increase the risk of facing catastrophic health expenditures.
