Do local fiscal multipliers depend on what the government purchases? We find that government purchases of services have larger effects on employment than spending on goods. Industries producing services are more labor-intensive than industries producing goods. This heterogeneity in labor intensity is an important mechanism behind these results. Spending directed toward labor-intensive industries generates stronger increases in employment and labor income relative to spending toward non-labor-intensive industries.
Central America is one of the world’s most vulnerable regions to extreme climate events. The literature estimates the macroeconomic effects of climate events mainly using annual data, which might underestimate the true effects as these extreme events tend to be short-lived and generate government and family support in response. To overcome this limitation, this paper studies Central American countries’ macroeconomic impact of climatic disasters using high-frequency (monthly) data over the period 2000-2019. We identify extreme climate events by defining dummy variables related to storm and flood events reported in the EM-DAT (Emergency Events Database) and estimate country-specific VAR and panel VAR. The results suggest that a climatic disaster drops monthly economic activity in most countries in the region of around 0.5 to 1 percentage points on impact, with persistent effects on the level of GDP. We show that even as extreme climate events were relatively less severe under our sample period, quantitative effects are similar or larger than previously estimated for the region. In addition, remittances (transfers from family living abroad) increase for most countries in response to a extreme climate event, acting as a shock absorber. The results are robust to controlling for the severity of the climate events, for which we construct a monthly climate index measuring severity of weather indicators by following the spirit of the Actuaries Climate Index (ACI).
Demands for ramping up health expenditures are at an all-time high. Countries’ needs for additional health resources include responding to the COVID-19 pandemic, closing gaps in achieving the Sustainable Development Goal in health in most emerging and developing countries, and serving an ageing population in advanced economies. Facing limited fiscal space for raising health spending focuses policymakers’ attention on ensuring that resources are used efficiently. How sizable are the potential gains—in terms of freeing up resources and delivering better health outcomes—from improving health spending efficiency? How has efficiency evolved over the past decade? What can policymakers do to boost it? This paper estimates health spending efficiency across countries using bias-corrected data envelopment analysis and finds sizable differences in efficiency across countries, in particular among emerging and developing countries compared to advanced economies. The examination of the evolution of efficiency reveals that important efficiency gains have been made in the majority of countries. The paper also explores some of the key drivers of efficiency and finds that lower income inequality, less corruption, and health interventions oriented at expanding population access to basic health services are associated with greater efficiency.
La Historia Social de las Instituciones Punitivas está necesitada en España de encuentro y debate, de confrontación y colaboración entre investigadores e investigadoras. Solo así logrará hacerse visible e inteligible como tendencia historiográfica y sobre todo como apuesta teórico-metodológica, porque de hecho ya es más que creíble como práctica historiográfica. Aquí, en este libro, junto a los logros también se perfilan las carencias y los retos más acuciantes. Lejos de buscar una autonomía extemporánea, la Historia Social de las Instituciones Punitivas quiere buscar su propia viabilidad a base de intersecciones y buenas mezclas. Esos objetivos se planteaba el Grupo de Estudio sobre la Historia de la Prisión y las Instituciones Punitivas (GEHPIP) ―un equipo interuniversitario y con sede en la Universidad de Castilla-La Mancha (UCLM)― al organizar lo que de forma homónima decidió titular I Congreso Internacional sobre Historia de la Prisión y las Instituciones Punitivas, celebrado en Ciudad Real entre el 10 y el 12 de abril de 2013. El libro electrónico que aquí se presenta es una buena muestra de lo que allí se comunicó y discutió. Social History of Punitive Institutions in Spain needs meetings and discussions, comparison and collaboration between researchers. Only then it will become visible and intelligible as a historiographical trend and, above all, as a theoretical-methodological hope, because in fact, now it is more than conceivable as a historiographical practice. Here in this book are outlined, along with the achievements, the shortcomings and the most pressing challenges. Far from seeking an extemporaneous autonomy, Social History of Punitive Institutions wants to try to find its own feasibility based on intersections and good mixings. Those objectives were considered by the Study Group about History of Prison and Punitive Institutions (Grupo de Estudio sobre la Historia de la Prisión y las Instituciones Punitivas, GEHPIP) –an interuniversity team and with central office at Universidad de Castilla-La Mancha (UCLM)– when organising what it decided to name in an homonymous way 1st International Congress on History of Prison and Punitive Institutions (I Congreso Internacional sobre Historia de la Prisión y las Instituciones Punitivas), held in Ciudad Real (Spain) from 10 to 12 April 2013. The electronic book here presented is a good example of what it was told and discussed there.
Do local fiscal multipliers depend on what the government purchases? We find that government purchases of services have larger effects on employment than spending on goods. Industries producing services are more labor-intensive than industries producing goods. This heterogeneity in labor intensity is an important mechanism behind these results. Spending directed toward labor-intensive industries generates stronger increases in employment and labor income relative to spending toward non-labor-intensive industries.
Demands for ramping up health expenditures are at an all-time high. Countries’ needs for additional health resources include responding to the COVID-19 pandemic, closing gaps in achieving the Sustainable Development Goal in health in most emerging and developing countries, and serving an ageing population in advanced economies. Facing limited fiscal space for raising health spending focuses policymakers’ attention on ensuring that resources are used efficiently. How sizable are the potential gains—in terms of freeing up resources and delivering better health outcomes—from improving health spending efficiency? How has efficiency evolved over the past decade? What can policymakers do to boost it? This paper estimates health spending efficiency across countries using bias-corrected data envelopment analysis and finds sizable differences in efficiency across countries, in particular among emerging and developing countries compared to advanced economies. The examination of the evolution of efficiency reveals that important efficiency gains have been made in the majority of countries. The paper also explores some of the key drivers of efficiency and finds that lower income inequality, less corruption, and health interventions oriented at expanding population access to basic health services are associated with greater efficiency.
Central America is one of the world’s most vulnerable regions to extreme climate events. The literature estimates the macroeconomic effects of climate events mainly using annual data, which might underestimate the true effects as these extreme events tend to be short-lived and generate government and family support in response. To overcome this limitation, this paper studies Central American countries’ macroeconomic impact of climatic disasters using high-frequency (monthly) data over the period 2000-2019. We identify extreme climate events by defining dummy variables related to storm and flood events reported in the EM-DAT (Emergency Events Database) and estimate country-specific VAR and panel VAR. The results suggest that a climatic disaster drops monthly economic activity in most countries in the region of around 0.5 to 1 percentage points on impact, with persistent effects on the level of GDP. We show that even as extreme climate events were relatively less severe under our sample period, quantitative effects are similar or larger than previously estimated for the region. In addition, remittances (transfers from family living abroad) increase for most countries in response to a extreme climate event, acting as a shock absorber. The results are robust to controlling for the severity of the climate events, for which we construct a monthly climate index measuring severity of weather indicators by following the spirit of the Actuaries Climate Index (ACI).
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