6)Seogang university management accounting14

6)Seogang university management accounting14 - N13. The...

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Unformatted text preview: N13. The Size Distribution of Cities Up to this point have looked at cities in isolation: the internal structure of cities Now look at cities as part of the larger economy Begin by a discussion of the size distribution of cities Facts about City Size Distributions Look at distribution of MSAs(metropolitan statistical area), CMSA (consolidated metropolitan area) from 2000 Rank Size Rule or Zipfs Law: (empirical regularity). rank size = constant ln( rank ) + ln( size ) = l n ( constant ) ln( rank ) = l n ( constant ) ln( size ) MSA/CMSA data, run regression with top 100 get ln( rank ) = 18 . 132 1 . 04 ln( size ) with a standard error on slope of .018 and an R 2 of .98 Metro Populations (MSA and CMSA) from Census 2000 rank population lnrank lnpop New York--Northern New Jersey--Long Island, NY--NJ--CT--PA CMSA 1 21,199,865 0.000 16.86951 Los Angeles--Riverside--Orange County, CA CMSA 2 16,373,645 0.693 16.61118 Chicago--Gary--Kenosha, IL--IN--WI CMSA 3 9,157,540 1.099 16.03009 Washington--Baltimore, DC--MD--VA--WV CMSA 4 7,608,070 1.386 15.84472 San Francisco--Oakland--San Jose, CA CMSA...
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This note was uploaded on 02/17/2011 for the course ACCT 2050 taught by Professor None during the Spring '11 term at Algoma University.

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6)Seogang university management accounting14 - N13. The...

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