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AE LINE: Another term for aggregate expenditure line, which is 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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ASSUMPTIONS, KEYNESIAN ECONOMICS The macroeconomic study of Keynesian economics relies on three key assumptions--rigid prices, effective demand, and savings-investment determinants. First, rigid or inflexible prices prevent some markets from achieving equilibrium in the short run. Second, effective demand means that consumption expenditures are based on actual income, not full employment or equilibrium income. Lastly, important savings and investment determinants include income, expectations, and other influences beyond the interest rate. These three assumptions imply that the economy can achieve a short-run equilibrium at less than full-employment production.
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PURPLE SMARPHIN [What's This?]
Today, you are likely to spend a great deal of time visiting every yard sale in a 30-mile radius seeking to buy either a wall poster commemorating last Friday (you know why) or a country wreathe. Be on the lookout for small children selling products door-to-door. Your Complete Scope
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Junk bonds are so called because they have a better than 50% chance of default, carrying a Standard & Poor's rating of CC or lower.
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"Recipe for success. Study while others are sleeping; work while others are loafing, prepare while others are playing, and dream while others are wishing." -- William A. Ward
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QML Quasi-Maximum Likelihood
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