Spending increase GDP and reduce health spending? – Entry published in the Share on Twitter Share on Facebook Share on LinkedIn Compartment in Google Plus Entry published in the Alde Blog, (bAg): Global Village Economy Blog By Joan Costa-Font (London School of Economics and Political Science, CESIfo & IZA Bonn), and Cristina Vilaplana-Prieto (University of Murcia). Dependency programs, which provide support to older people in a situation of dependency, are a leading economic policy concern in many European countries. The limited supply of traditional (informal) care (and increasing female participation in the labor market) are increasing the demand for formal long-term care services.
The latter includes an increase in demand
Home and day care services, along with care in nursing homes. However, how does the reduction in the supply of informal care, fundamentally due to the increase in female participation in the labor market of traditional caregivers India WhatsApp Number Data women over 40 years of age), impact on the demand and. Above all, in spending on long-term care? Greater use of spending on long-term care could “relieve” public and private health spending. Which economists define as an indirect effect of spending. Therefore, does the expansion of long-term care programs have indirect effects on health spending? In this work published by the authors. The variation between countries in the dynamic determinants of dependency spending spending ( such as outpatient spending. The availability of cross-national time series data for countries offers the possibility of studying the expansion of dependency spending.
Identifying the effects of drivers of dependency
Spending, such as the labor market participation of traditional caregivers and their such as causality potential inverse and omitted variable bias, as well Italy WhatsApp Number List as temporal and cross-sectional correlation, and these dynamic effects to be modeled. Compared to conventional time series modeling. The panel-VAR model takes into account the heterogeneity of cross-sectional dynamics. Which provides more information on the sources of system heterogeneity. The panel-exploits the temporal and cross-sectional dimension of the data to be able to infer dynamic relationships between the dependen effects . Which results in an improvement per capita.
