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PARETO EFFICIENCY: A type of efficiency that results if one person can not be made better off without making someone else worse off. Named after Vilfredo Pareto, this criterion is the guiding theoretical notion of efficiency used in the study of economics, especially welfare economics. Pareto efficiency is generally not attained if some resources are idle or unemployed. By engaging idle resources in production, some people can have more production without reducing that available to others. A problem with Pareto efficiency, however, is that it is based on the existing distribution of income and wealth. This is one of two noted efficiency criteria used in economics. The other is Kaldor-Hicks efficiency.
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AUTONOMOUS EXPENDITURES Expenditures on aggregate production by the four macroeconomic sectors that do not depend on income or production (especially national income or even gross domestic product). That is, changes in income do not generate changes in these expenditures. Each of the four aggregate expenditures--consumption, investment expenditures, government purchases, and net exports--have an autonomous component. Autonomous expenditures are affected by the ceteris paribus aggregate expenditures determinants and are measured by the intercept term of the aggregate expenditures line. The alternative to autonomous expenditures are induced expenditures, expenditures which do depend on income.
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BLACK DISMALAPOD
[What's This?]
Today, you are likely to spend a great deal of time at an auction trying to buy either a video game player or an AC adapter that won't fry your computer. Be on the lookout for vindictive digital clocks with revenge on their minds.
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This isn't me! What am I?
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Rosemary, long associated with remembrance, was worn as wreaths by students in ancient Greece during exams.
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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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NLREG
Nonlinear Statistical Regression
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