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The two hospital dummy variables jointly explained 9% of the revenue variation.
These results imply that a dominant proportion of the revenue variation among years and hospitals can be explained by factors related to time and individual hospital characteristics.
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Table 2 indicates the substantial variation in revenue recovery between schemes [20].
However, tax progressivity accounts for very little of the overall interstate variation in revenue volatility during the 2007 2009 recession.
In the CBFM-2 project there is a big variation in revenue collection ranging from Taka 53 42,455/ha in 2002 2003.
Recall from Section 3D that the single most important factor in explaining interstate variation in revenue exposure is the change in AGI among the top 5percentt of the AGI distribution.
A question in this case is whether the fragmentation of revenue sources and the variation of total income for similar health workers have local determinants and/or mirror the fragmentation of the health system and increase in contexts where numerous (external) actors are involved, such as in fragile states/regions or where private practice is widespread.
Slight variation to net revenue percent increases and decreases was experienced (average variation of 1%) due to operating costs, also being subtracted from gross revenue, remaining constant.
However, when we decompose exposure into its components and include interaction terms, more than half of the variation in actual revenue change is explained.
This exercise suggests that the dominant factor in explaining the variation in potential revenue exposure is the economic shock to the tax base in a state, particularly among the top 5percentt of filing units, as opposed to variations in tax burdens or progressivity.
The fitted model was statistically significant at the p < 0.001 level and could explain 86% of the total variation in hospital revenue (R2 = 0.8636).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com