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Transportation, Sorting and House Values
Author(s) -
Voith Richard
Publication year - 1991
Publication title -
real estate economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.064
H-Index - 61
eISSN - 1540-6229
pISSN - 1080-8620
DOI - 10.1111/1540-6229.00545
Subject(s) - census , sorting , work (physics) , value (mathematics) , service (business) , house price , transport engineering , demographic economics , business , geography , economics , marketing , econometrics , computer science , sociology , engineering , demography , population , programming language , mechanical engineering , machine learning
In this paper, we examine the importance of accessibility to employment and transportation system attributes for residential location choice, car ownership and house values. Using the 1980 Census of Housing and Journey to Work data merged with transportation system data, we find strong evidence of residential sorting based on employment location. We find that suburban areas with good commuter rail access to the CBD have significantly greater fractions of their labor force working in the CBD, own fewer cars and have higher house prices than similar neighborhoods and houses in census tracts without service. The house value premium is over 6.4%.