Daniel P. McMillen – författare
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6 produkter
Urban Economics and Real Estate
Theory and Policy
Av John F. McDonald, Daniel P. McMillen
Inbunden, 2010
1756 kr
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This Second Edition arms real estate professionals with a comprehensive approach to the economic factors that both define and affect modern urban areas. The text considers the economics of cities as a whole, instead of separating them. Emphasis is placed on economic theory and empirical studies …
Companion to Urban Economics
Inbunden, 2006
2540 kr
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A Companion to Urban Economics provides a state-of-the-art overview of this field, communicating its intellectual richness through a diverse portfolio of authors and topics. Unique in both its rigor and international treatmentAn ideal supplementary textbook in upper-level undergraduate urban …
Companion to Urban Economics
Av Daniel P. McMillen, Richard J. Arnott
E-bok, 2008
2970 kr
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A Companion to Urban Economics provides a state-of-the-art overview of this field, communicating its intellectual richness through a diverse portfolio of authors and topics. Unique in both its rigor and international treatment An ideal supplementary textbook in upper-level undergraduate urban …
Companion to Urban Economics
Av ARNOTT, Richard J. Arnott m. fl.
Häftad, 2007
837 kr
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A Companion to Urban Economics provides a state-of-the-art overview of this field, communicating its intellectual richness through a diverse portfolio of authors and topics. Unique in both its rigor and international treatmentAn ideal supplementary textbook in upper-level undergraduate urban …
Quantile Regression for Spatial Data
Häftad, 2012
793 kr
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Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes …
Quantile Regression for Spatial Data
E-bok, 2012
1007 kr
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Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes …
