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Although testing for the convergence of health expenditure determinants empirically has been useful investigations, we believe that theoretical foundations are required to link the convergence tests in these factors.
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Hence, the share of health expenditure, the determinants of resources a country devotes to medical care, and the relationship between national income and national health care expenditures have drawn attention of health economists worldwide.
Whereas the way animals thermoregulate define their ecto- or endotherm condition (hence determining a great deal of their mode of life), energy expenditure is determinant for fitness because surplus energy in excess of maintenance costs can be allocated to offspring (Burton et al., 2011).
Therefore, it is necessary to study further the health needs, the expenditures and determinants of hospitalization among Mexican household members.
We estimate a panel error-correction version of an autoregressive distributed lag model to identify the long-term relationships between social expenditure and its determinants.
Next, we examine the long-run relationship between social expenditure and its determinants estimating a panel error-correction model (ECM) to find cointegration relationships between the I(1) and I 0) variables of the model.
For this to happen, the coefficient needs to be statistically significant and negative, meaning that the error term is stationary, and therefore there is a cointegration relationship between social expenditure and its determinants, where any deviation from the equilibrium in the previous period will be adjusted at a rate given by this error term.
Food intake and energy expenditure, the key determinants of energy homoeostasis, are regulated by the CNS (central nervous system).
This indicates a statistically significant cointegrating relationship between social expenditures and its determinants, showing a long-run equilibrium relationship between them.
Health care expenditures and their determinants have attracted considerable attention and have been used widely to compare countries.
To analyze health expenditures and its determinants in a sample of Mexican population, for three dimensions acute morbidity, ambulatory care and hospitalization focusing on different age groups, particularly the elderly.
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