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LOGROLLING: A systematic exchange of votes by politicians to obtain approval of specific legislation. That is, Senator Grapht agrees to vote for Senator Brybe's pet project if Senator Brybe votes for Senator Grapht's favorite piece of legislation. Such logrolling can be explicit or implicit. The explicit kind involves two separate bills, in which each politician is forced to "go on record" with a vote. The implicit kind, which many politicians favor, is where several separate programs are wrapped into a single bill. Every politician can then tell the folks back home that they really only wanted the "one thing" that helped their constituencies the most, but had to vote for "other things" as well. Logrolling is big reason our government is big and prone to inefficiency.
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SCREENING When confronted by asymmetric information, the use of small bits of information, or indicators, that suggest more comprehensive information. Screening occurs when those with limited information try to identify indicators suggesting more complete information. It is used in markets with adverse selection and moral hazard, especially in labor markets and in the provision of insurance. Common methods of screening include aptitude tests, affiliations, past behavior, and personal characteristics. A related method is signalling.
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GREEN LOGIGUIN [What's This?]
Today, you are likely to spend a great deal of time at a dollar discount store seeking to buy either a birthday greeting card for your father or a T-shirt commemorating the first day of spring. Be on the lookout for slightly overweight pizza delivery guys. Your Complete Scope
This isn't me! What am I?
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It's estimated that the U.S. economy has about $20 million of counterfeit currency in circulation, less than 0.001 perecent of the total legal currency.
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"If I'm selecting a group, the first thing I look for is a record of achievement . . . If (candidates achieve) in small things, there's a very good chance they'll perform well in big things. " -- Edmund Hillary, explorer
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BVAR Bayesian VAR (Vector Autoregression)
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