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In Fig. 1 we present per capita expenditures as a function of age.
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To address this gap, this paper presents an analysis of household transport expenditure as a function of the available variables, with a particular focus on the ICT.
Figure 6 Average normalized power expenditure as a function of K, with B = 10 MHz, N = 1024, and in the case of best-carrier assignment model.
Figure 4 Average normalized power expenditure as a function of K, with B = 10 MHz, N = 1024, and in the case of vacant-carrier assignment model.
Explicit decompositions of chronological age groups into remaining lifespan classes is, to our knowledge, only found in Brouard (1986), who redistributed population pyramids by remaining years of life, and Miller (2001), who examined medicare expenditure as a function of time until death using the same lifetable identities.
We estimate two-part expenditure models as a function of informal care, controlling for endogeneity.
Figure 2B also shows our model predictions of energy expenditure change as a function of body weight change in response to 3.6 years of over- and under-feeding to various degrees.
*p < 0.05; **p < 0.01 We estimated models of total health expenditures (regardless of payer) as a function of living with a smoker for overall expenditures and for each separate service (inpatient, emergency, etc).
The impact of these various expenditures is a function of the propensity to consume wealth locally.
This type of model is a system of equations that considers the allocation of total available budget into the expenditure for different foods (or other goods) as a function of total expenditure and prices.
Similarity of physical activity level values for subjects in different weight categories implies that activity energy expenditure is a function of fat-free mass as well.
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