This paper examines the effect of remittance inflows on health care expenditure in Nepal using the Nepal Living Standards Survey 2010–2011. Using the recursive three‐stage least square regression method, the propensity score matching method, and the Oaxaca–Blinder decomposition method, we find a positive and significant effect of remittances on health care expenditure. In particular, our analysis shows a 0.099% increase in health care expenditure for every 1% increase in overall remittances. This effect increases to 0.189% for earned remittances (remittances received from a household member). We also find that remittance‐receiving households with at least one migrant family member have different health care spending behavior than those with no migrant members.
This paper studies how policy interventions and economic factors affect COVID-19 infections and deaths, using generalized linear regression (GLM) models. We seek to explain the containment differences by countries’ inherent economic factors, especially the labor market structure, utilizing data from multiple sources. The results show that countries heavily relying on the service sector and international trade suffer more from the spreading, possibly due to the fact that COVID-19 is a communicable disease and spreads quickly through physical contact. Further, we find that these countries could benefit more from stringent policies compared to others.
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