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Urban housing selection
Author(s) -
Cassidy R. Gordon
Publication year - 1975
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830200405
Subject(s) - interdependence , socioeconomic status , occupancy , selection (genetic algorithm) , function (biology) , process (computing) , microeconomics , economics , decision process , public economics , business , computer science , sociology , management science , ecology , social science , population , demography , artificial intelligence , evolutionary biology , biology , operating system
This paper examines the selection process of housing in urban areas as a coalition process between buyers and sellers. A behavioral and analytic theory is used to predict occupancy of different socioeconomic neighborhoods by persons of different income levels. By including different preferences of buyers and sellers dependent upon their basic socioeconomic background, it is possible to predict decrease or increase of neighborhood size as a function of these preferences. The model allows us to take into account explicitly the effect of bargaining and interdependency of both buyers and sellers in the community system, thus expanding our definition and understanding of decision making about housing in the household sector of this system. An example is included using some data from the Canadian housing market.