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INCOME DISTRIBUTION: The manner in which income is divided among the members of the economy. A perfectly equal income distribution would mean everyone in the country has exactly the same income. The income distribution in the good old U. S. of A., while more equal than most nations of the world, is far from perfectly equal. A certain amount of inequality in the income distribution is to be expected because resources are never equally distributed. Some labor is naturally going to be more productive--better able to produce the stuff that consumers want--and thus get more income. The same is true for capital, land, entrepreneurship. However, without government intervention, an unequal distribution of income tends to perpetuate itself. Those who have more income, can invest in additional productive resources, and thus can add even more to their income.
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INELASTIC The general relation between two variables in which relatively large changes in one variable (A) cause relatively small changes in another variable (B). In other words, large changes in variable A cause relatively small changes in variable B or the percentage change in variable B is smaller than the percentage change in variable A. This characterization of elasticity is most important for the price elasticity of demand and the price elasticity of supply. Inelastic is one of two general elasticity relations between two variables. The other is elastic.
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PINK FADFLY
[What's This?]
Today, you are likely to spend a great deal of time at a flea market looking to buy either a T-shirt commemorating Thor Heyerdahl's Pacific crossing aboard the Kon-Tiki or a wall poster commemorating the 2000 Olympics. Be on the lookout for a thesaurus filled with typos.
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Ragnar Frisch and Jan Tinbergen were the 1st Nobel Prize winners in Economics in 1969.
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"Many people think that if they were only in some other place, or had some other job, they would be happy. Well, that is doubtful. So get as much happiness out of what you are doing as you can and don't put off being happy until some future date. " -- Dale Carnegie
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TSP
Time Series Processor (software)
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