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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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MARGINAL FACTOR COST, PERFECT COMPETITION The change in total factor cost resulting from a change in the quantity of factor input employed by a perfectly competitive firm. Marginal factor cost, abbreviated MFC, indicates how total factor cost changes with the employment of one more input. It is found by dividing the change in total factor cost by the change in the quantity of input used. Marginal factor cost is compared with marginal revenue product to identify the profit-maximizing quantity of input to hire.
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BROWN PRAGMATOX
[What's This?]
Today, you are likely to spend a great deal of time driving to a factory outlet looking to buy either a turbo-powered vacuum cleaner or a battery-powered, rechargeable vacuum cleaner. Be on the lookout for telephone calls from former employers.
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Potato chips were invented in 1853 by a irritated chef repeatedly seeking to appease the hard to please Cornelius Vanderbilt who demanded french fried potatoes that were thinner and crisper than normal.
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"Motivation is everything. You can do the work of two people, but you can't be two people. Instead, you have to inspire the next guy down the line and get him to inspire his people." -- Lee Iacocca, Chrysler chairman
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BVAR
Bayesian VAR (Vector Autoregression)
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