Daniel P. McMillen – författare
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4 produkter
4 produkter
1 667 kr
Skickas inom 5-8 vardagar
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 that are based in economic theory. The book also explores the policy lessons that can be drawn from the use of economics to understand urban areas. Real estate professionals will find new coverage of urban areas around the world to provide a global perspective.
Del 6 - Blackwell Companions to Contemporary Economics
Companion to Urban Economics
Inbunden, Engelska, 2006
2 402 kr
Skickas inom 5-8 vardagar
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 economics courses, or in master's level and professional courses, providing students with the necessary foundation to tackle more advanced topics in urban economicsContains contributions from the world’s leading urban economists
Del 5 - Blackwell Companions to Contemporary Economics
Companion to Urban Economics
Häftad, Engelska, 2007
792 kr
Skickas inom 5-8 vardagar
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 economics courses, or in master's level and professional courses, providing students with the necessary foundation to tackle more advanced topics in urban economicsContains contributions from the world’s leading urban economists
773 kr
Skickas inom 10-15 vardagar
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 for the entire distribution of the dependent variable. Despite its advantages, quantile regression is still not commonly used in the analysis of spatial data. The objective of this book is to make quantile regression procedures more accessible for researchers working with spatial data sets. The emphasis is on interpretation of quantile regression results. A series of examples using both simulated and actual data sets shows how readily seemingly complex quantile regression results can be interpreted with sets of well-constructed graphs. Both parametric and nonparametric versions of spatial models are considered in detail.