A very informative website covering a wide range of network economy issues by University of California at Berkeley Professor of Economics J. Bradford De Long. Professor De Long is an economic historian and specialist in macroeconomic issues. He has also worked as Deputy Assistant Secretary of the U.S. Treasury for Economic Policy during the Clinton Administration from 1993 to 1995. [Description from dmoz]
The University of California at Berkeley has been organic from the beginning. The university was created by the state's Organic Act of 1868, merging a private college and a land-grant institution. From modest East Bay beginnings came a world-class university that grew world-famous in the 1960s from the Free Speech Movement on campus, and for the social activism that still marks many of its students today. The 1,700 members of the faculty include seven Nobel laureates, four Pulitzer Prize winners, and 28 MacArthur Fellows (the "genius awards"). UC Berkeley, also known as California or Cal, annually educates about 25,000 undergraduates and some 10,000 graduate students. [Description from Hoover's]
This site reaches over 1.0 million U.S. monthly people.The typical visitor visits irs.gov, uses H&R Block, and banks at Wells Fargo.
US Demographics: [ Web ]
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Audience Also Likes
This list shows other sites an audience frequents, which can reveal brand preferences and other lifestyle traits. The Audience Also Likes section of a site's profile shows other sites that the audience is likely to visit, and the affinity indicates how much more likely than average. For example, if the profile for wsj.com listed barrons.com with an affinity of 10x, a randomly chosen visitor to wsj.com is ten times likelier to visit barrons.com than the average internet user.
Index represents how a site's audience compares to the online internet population as a whole. An index of 100 indicates a site's audience is at parity with the total internet population.
The affinity numbers represent how likely a given visitor is to visit one of the listed sites or categories compared to the internet average. For example, an affinity number of 10.2 would say that a user on "X" website is 10.2 times more likely than the average internet visitor to visit the other site or category that is provided.
This website is Quantified, and the data displayed here is directly measured by Quantcast.
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