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HOMOGENEOUS OF DEGREE N: A property of an equation the exists if independent variables are increased by a constant value, then the dependent variable is increased by the value raised to the power of n. The value of n can be greater than, less than, or equal to one. This property often surfaces in the analysis of production functions. If n = 1, then a doubling independent variables results in a doubling of the dependent variable and the production function has constant returns to scale. If n > 1, then a doubling independent variables results in more than a doubling of the dependent variable and the production function has increasing returns to scale. If n < 1, then a doubling independent variables results in less than a doubling of the dependent variable and the production function has decreasing returns to scale.
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IMPORTS LINE A graphical depiction of the relation between imports bought from the foreign sector and the domestic economy's aggregate level of income or production. This relation is most important for deriving the net exports line, which plays a minor, but growing role in the study of Keynesian economics. An imports line is characterized by vertical intercept, which indicates autonomous imports, and slope, which is the marginal propensity to import and indicates induced imports. The aggregate expenditures line used in Keynesian economics is derived by adding or stacking the net exports line, derived as the difference between the exports line and imports line, onto the consumption line, after adding investment expenditures and government purchases.
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PINK FADFLY
[What's This?]
Today, you are likely to spend a great deal of time calling an endless list of 800 numbers wanting to buy either a coffee cup commemorating the first day of spring or a printer that works with your stockpile of ink cartridges. Be on the lookout for empty parking spaces that appear to be near the entrance to a store.
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This isn't me! What am I?
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A U.S. dime has 118 groves around its edge, one fewer than a U.S. quarter.
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"Always dream and shoot higher than you know how to. Don't bother just to be better than your contemporaries or predecessors. Try to be better than yourself." -- William Faulkner, writer
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SUR
Seemingly Unrelated Regressions
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