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6)Seogang university management accounting14

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

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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

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Facts about City Size Distributions Look at distribution of MSAs(metropolitan statistical area), CMSA (consolidated metropolitan area) from 2000 Rank Size Rule or Zipf’s Law: (empirical regularity). rank size = constant ln( rank ) + ln( size ) = ln ( constant ) ln( rank ) = ln ( 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 5 7,039,362 1.609 15.76703

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