The effectiveness of McFaddens’s nested logit model in valuing amenity improvement

Chattopadhyay, Sudip

doi:10.1016/s0166-0462(99)00033-2

Cited by 37 publications

(19 citation statements)

References 15 publications

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“…Quigley,1985;Gabriel and Rosenthal, 1989;Waddell, 1993 and1996;Rapaport, 1997;Levine, 1998;Nechyba and Strauss, 1998;Chattopadhyay, 2000;Sermons and Koppelman, 2001;and Deng, Ross, and Wachter, 2003).…”

Section: Residential Location Choicementioning

confidence: 99%

Operationalizing the concept of neighborhood: Application to residential location choice analysis

Guo

Bhat

2007

Journal of Transport Geography

179

162

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In this paper, we explore different conceptualizations to represent neighborhoods in residential location choice models, and describe three alternative ways for constructing operational units to represent neighborhoods. In particular, we examine the possibility of using the census units to represent the hierarchical 'fixed neighborhood' definition, and the circular units and network bands to represent the hierarchical 'sliding neighborhood' definition. Overall, the network band definition is conceptually appealing. It also is marginally superior to the other two operational representations from a model fit standpoint.

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Section: Residential Location Choicementioning

confidence: 99%

Operationalizing the concept of neighborhood: Application to residential location choice analysis

Guo

Bhat

2007

Journal of Transport Geography

179

162

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“…School quality is another important variable in residential location choice, at least for those with (or soon to have) children (see, e.g., 29,30,31). The 2004 accountability indicators developed by the Texas Education Agency (TEA) were used here to reflect school district quality, in the models of location choice.…”

Section: Employment Location and School Qualitymentioning

confidence: 99%

Microsimulation of Residential Land Development and Household Location Choices

Zhou

Kockelman

2008

Transportation Research Record

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This paper investigates single-family residential development for housing market equilibria using microeconomic theory and disaggregate spatial data. Mixed logit models and notions of price competition are used to simulate household location choices for three different household segments, assuming job sites of household members are known. Consistent with bid-rent theory, housing market equilibrium was reached in an iterative fashion. The spatial allocation of new households in the region of Austin, Texas illustrates the potential shape of things to come, with endogenously determined home prices and demographic distributions, based on job access. As expected, positive spatial autocorrelation in home prices and household distributions are observed.

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“…Many analysts now depart from the traditional hedonic pricing method where an analyst estimates the impacts of local amenities or structural characteristics on dwelling prices from an hedonic equation using a regression model. Some employ discrete choice methods (Bayer et al 2002;Quigley 1985;Chattopadhyay 2000), others use locational equilibria (Sieg et al 2002), and still others explore random bidding models (Ellickson 1981;Lerman and Kern 1983;Chattopadhyay 1998) as alternative devices to capture diversity considered inaccessible from a single hedonic equation. Yet even these alternative works appeal to some degree to a relatively strong form of Tiebout's (1956) "voting with your feet" model whereby similar households coordinate to supply an optimal bundle of local amenities befitting their type.…”

Section: Introductionmentioning

confidence: 99%