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Estimating bid-auction models of residential location using census data with imputed household income

Heldt, Benjamin and Bahamonde Birke, Francisco Jose and Donoso, Pedro and Heinrichs, Dirk (2018) Estimating bid-auction models of residential location using census data with imputed household income. Journal of Transport and Land Use, 11 (1), pp. 1101-1123. University of Minnesota. doi: 10.5198/jtlu.2018.1040. ISSN 1938-7849.

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Official URL: https://www.jtlu.org/index.php/jtlu/article/view/1040


Modeling residential location as a key component of the land-use system is essential to understand the relationship between land use and transport. The increasing availability of censuses such as the German Zensus 2011 has enabled residential location to be modeled with a large number of observations, presenting both opportunities and challenges. Censuses are statistically highly representative; however, they often lack variables such as income or mobility-related attributes as in the case of Zensus 2011. This is particularly problematic if missing variables define utility or willingness-to-pay functions that characterize choice options in a location model. One example for this is household income, which is an indispensable variable in land use models because it influences household location preferences and defines affordable location options. For estimating bid-auction location models for different income groups, we impute household income in census data applying an ordered regression model. We find that location models considering this imputation perform sufficiently well as they reveal reasonable and expected aspects of the location patterns. In general, imputing choice variables should thus be considered in the estimation of residential location models but is also promising for other decision problems. Comparing results for two imputation methods, we also show that while applying the deterministic first preference imputation may yield misleading results the probabilistic Monte Carlo simulation is the correct imputation approach.

Item URL in elib:https://elib.dlr.de/123889/
Document Type:Article
Title:Estimating bid-auction models of residential location using census data with imputed household income
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Heldt, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0003-1053-835XUNSPECIFIED
Heinrichs, DirkUNSPECIFIEDhttps://orcid.org/0000-0003-1242-2617UNSPECIFIED
Journal or Publication Title:Journal of Transport and Land Use
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1101-1123
EditorsEmailEditor's ORCID iDORCID Put Code
UNSPECIFIEDUniversity of Minnesota Center for Transportation StudiesUNSPECIFIEDUNSPECIFIED
Publisher:University of Minnesota
Keywords:land use; residential location; missing data; census; estimation; household income
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Verkehrsentwicklung und Umwelt II (old), V - Urbane Mobilität (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Mobility and Urban Development
Deposited By: Heldt, Benjamin
Deposited On:03 Dec 2018 09:47
Last Modified:21 Nov 2023 14:50

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