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Achieving universal health coverage, including financial risk protection and access to quality essential health-care services, is one of the main Sustainable Development Goals. In low-income countries, innovative and affordable health financing systems are key to realize these goals. This paper assesses the impacts of Community-Based Health Insurance Scheme in Rwanda on health-related financial risks using a nationally representative household survey data collected over a ten-year period. We find that the scheme significantly reduce annual per capita out-of-pocket spending by about 3,600 Rwandan Franc (about US$12) or about 83 percent of average per capita healthcare expenditure compared to the baseline level in 2000.The impacts however favor the rich as compared to the poor. The program also reduces the incidence of catastrophic healthcare spending significantly.
Insurance --- Macroeconomics --- Public Finance --- Single Equation Models --- Single Variables: Cross-Sectional Models --- Spatial Models --- Treatment Effect Models --- Multiple or Simultaneous Equation Models: Truncated and Censored Models --- Microeconomic Policy: Formulation --- Implementation --- Evaluation --- Insurance Companies --- Actuarial Studies --- National Government Expenditures and Related Policies: General --- Health: General --- Aggregate Factor Income Distribution --- Macroeconomics: Consumption --- Saving --- Wealth --- Insurance & actuarial studies --- Public finance & taxation --- Health economics --- Expenditure --- Health --- Income --- Consumption --- Financial institutions --- National accounts --- Expenditures, Public --- Economics --- Rwanda
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As COVID-19 continues to wreak havoc across the world, researchers are attempting to quantify the economic fallout from the pandemic as it continues to unfold. Estimating the economic impacts of a prevailing pandemic is fraught with uncertainties about the epidemiology of the disease and the breadth of disruption of economic activities. This paper employs historical and near real-time Google search data to estimate the immediate impacts of COVID-19 on demand for selected services across 182 countries. The analysis exploits the temporal and spatial variations in the spread of the virus and finds that demand for services that require face-to-face interaction, such as hotels, restaurants and retail trade, has substantially contracted. In contrast, demand for services that can be performed remotely or provide solutions to the challenges of reduced personal interactions, such as information and communications technology (ICT), and deliveries, has increased significantly. In a span of three months, the pandemic has resulted in a 63 percent reduction in demand for hotels, while increasing demand for ICT by a comparable rate. The impacts appear to be driven by supply contractions, due to social distancing and lockdown measures, and demand shocks as consumers shelter in place, with the latter dominating for most services. The magnitude of the changes in demand varies considerably with government responses to the pandemic.
Consumer Demand --- Consumption --- Coronavirus --- COVID-19 --- Demand --- Economic Activity --- Economic Forecasting --- Economic Growth --- Economic Theory and Research --- Google Search Data --- Google Trends --- ICT Data and Statistics --- ICT Economics --- Information and Communication Technologies --- Information and Communication Technology --- Macroeconomics and Economic Growth --- Online Search --- Pandemic Impact
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