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AGGREGATE EXPENDITURES LINE: A line representing the relation between aggregate expenditures and gross domestic product used in the Keynesian cross. The aggregate expenditure line is obtained by adding investment expenditures, government purchases, and net exports to the consumption line. As such, the slope of the aggregate expenditure line is largely based on the slope of the consumption line (which is the marginal propensity to consume), with adjustments coming from the marginal propensity to invest, the marginal propensity for government purchases, and the marginal propensity to import. The intersection of the aggregate expenditures line and the 45-degree line identifies the equilibrium level of output in the Keynesian cross.
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AGGREGATE EXPENDITURES LINE A graphical depiction of the relation between aggregate expenditures by the four macroeconomic sectors (household, business, government, and foreign) and the level of aggregate income or production. In Keynesian economics, the aggregate expenditures line is the essential component of the Keynesian cross analysis used to identify equilibrium income and production. Like any straight line, the aggregate expenditures line is characterized by vertical intercept, which indicates autonomous expenditures, and slope, which indicates induced expenditures. The aggregate expenditures line used in Keynesian economics is derived by adding or stacking investment, government purchases, and net exports to the consumption line.
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WHITE GULLIBON
[What's This?]
Today, you are likely to spend a great deal of time strolling through a department store trying to buy either an AC adapter that won't fry your computer or a case for your designer sunglasses. Be on the lookout for the happiest person in the room.
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The portion of aggregate output U.S. citizens pay in taxes (30%) is less than the other six leading industrialized nations -- Britain, Canada, France, Germany, Italy, or Japan.
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"Don't be afraid if things seem difficult in the beginning. That's only the initial impression. The important thing is not to retreat; you have to master yourself." -- Olga Korbut, Gymnast
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QML
Quasi-Maximum Likelihood
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