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Evaluation Of The Hud Elder Cottage Housing Opportunity (Echo) Program, C Theodore Koebel, Julia Beamish, Karen A. Danielsen, Virginia Polytechnic Institute And State University
Evaluation Of The Hud Elder Cottage Housing Opportunity (Echo) Program, C Theodore Koebel, Julia Beamish, Karen A. Danielsen, Virginia Polytechnic Institute And State University
Public Policy and Leadership Faculty Publications
ECHO housing was introduced in the United States in the 1980s based on a program started in Australia in 1975. An ECHO unit is a small house in which an elderly person resides and which is placed near the home of a host (either relatives or close friends of the elderly person). The purpose of this arrangement is to make it convenient and efficient for the occupants of the host family dwelling to provide assistance to the elderly person residing in the smaller ECHO house.
Although ECHO housing provides a means for keeping an elderly resident close to family and …
A Monte Carlo Analysis Of Hedonic Models Using Traditional And Spatial Approaches, Helen R. Neill, David M. Hassenzahl, Djeto D. Assane
A Monte Carlo Analysis Of Hedonic Models Using Traditional And Spatial Approaches, Helen R. Neill, David M. Hassenzahl, Djeto D. Assane
Public Policy and Leadership Faculty Publications
Hedonic regression analysis of single family homes typically includes structural variables, locational variables and neighborhood quality characteristics. When nearby properties are related, Dubin (1988) reports that error terms are spatially autocorrelated. Estimation methods for these spatially autocorrelated error terms or hereafter, spatial approaches, include maximum likelihood estimation (MLE) and kriging techniques such as kriged maximum likelihood estimation (KMLE). Unfortunately these spatial methods require massive computer resources and are limited to significantly fewer observations than traditional ordinary least squares (OLS). This paper investigates the combination of spatial approaches and Monte Carlo analysis, a method that approximates large data sets. A question …