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LAFFER CURVE: The graphical inverted-U relation between tax rates and total tax collections by government. Developed by economist Arthur Laffer, the Laffer curve formed a key theoretical foundation for supply-side economics of President Reagan during the 1980s. It is based on the notion that government collects zero revenue if the tax rate is 0% and if the tax rate is 100%. At a 100% tax rate no one has the incentive to work, produce, and earn income, so there is no income to tax. As such, the optimum tax rate, in which government revenue is maximized, lies somewhere between 0% and 100%. This generates a curve shaped like and inverted U, rising from zero to a peak, then falling back to zero. If the economy is operating to the right of the peak, then government revenue can be increased by decreasing the tax rate. This was used to justify supply-side economic policies during the Reagan Administration, especially the Economic Recovery Tax Act of 1981 (Kemp-Roth Act).
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KEYNESIAN AGGREGATE SUPPLY CURVE An aggregate supply curve--a graphical representation of the relation between real production and the price level--that reflects the basic principles of Keynesian economics. The Keynesian aggregate supply curve actually comes in two versions. The basic version is reverse-L shaped, with a horizontal segment connected to a vertical segment at a sharp corner. The modified version is also reverse-L shaped, but the vertical and horizontal segments have positive slopes and connecting corner is rounded. An alternative is the classical aggregate supply curve.
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YELLOW CHIPPEROON
[What's This?]
Today, you are likely to spend a great deal of time going from convenience store to convenience store hoping to buy either a travel case for you toothbrush or a looseleaf notebook binder. Be on the lookout for rusty deck screws.
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The wealthy industrialist, Andrew Carnegie, was once removed from a London tram because he lacked the money needed for the fare.
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"Love looks through a telescope; envy, through a microscope. " -- Josh Billings, humorist
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MSE
Mean Square Error
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