Historical Deposition Influence in Residential Location Decisions: A Distance-Based GEV Model for Spatial Correlation

2009 ◽  
Vol 41 (11) ◽  
pp. 2760-2777 ◽  
Author(s):  
Cynthia Chen ◽  
Jason Chen ◽  
Harry Timmermans
Keyword(s):  
Spatial Correlation ◽  
Residential Location ◽  
Location Decisions ◽  
Residential Location Decisions

Agglomeration, Tax Differentials, and the Mobility of Professional Athletes

2016 ◽  
Vol 45 (2) ◽  
pp. 283-302 ◽  
Author(s):  
Grant A. Driessen ◽  
Steven M. Sheffrin
Keyword(s):  
Tax Policy ◽  
Residential Location ◽  
Professional Athletes ◽  
Location Decisions ◽  
Tax Rates ◽  
Limit States ◽  
Residential Patterns ◽  
Agglomeration Effects ◽  
Residential Location Decisions ◽  
Different Levels

Interstate mobility may limit states’ ability to choose their desired tax policies. The forces of agglomeration, however, may allow states more leeway in setting tax rates. Moreover, mobility and agglomeration effects are not uniform for all individuals within a state and may vary significantly across different groups. We explore this heterogeneity by examining the residential location decisions of professional racecar drivers and golfers, which have similar industry characteristics but different levels of agglomeration. Consistent with our theory, we show that tax preferences are a powerful determinant of golfer residential patterns, while agglomeration mitigates much of this effect among racecar drivers. These findings highlight the need to better understand how competition and agglomeration interact when formulating tax policy.

Telecommuting and residential location decisions: combined stated and revealed preferences model

2007 ◽  
Vol 34 (10) ◽  
pp. 1324-1333 ◽  
Author(s):  
Mohammad R Tayyaran ◽  
Ata M Khan
Keyword(s):  
Urban Development ◽  
Stated Preference ◽  
Revealed Preference ◽  
Residential Location ◽  
Estimation Procedure ◽  
Multinomial Logit Model ◽  
Development Planning ◽  
Location Decisions ◽  
Revealed Preferences ◽  
Residential Location Decisions

This paper reports on a combined stated preference (SP) and revealed preference (RP) model for studying the effect of telecommuting on households’ residential location decisions. Logit models were developed to estimate the parameters of the utility function. The required data for the model estimation were collected in an attitudinal survey of employees of selected private and public organizations in the Ottawa–Carleton region. The RP information included respondents’ residential, employment, and socioeconomic characteristics. To obtain the SP responses, the respondents were presented with a number of hypothetical residential choice scenarios defined on the basis of SP experimental design. The sequential maximum likelihood estimation procedure was used to obtain taste parameters of the combined multinomial logit model. The empirical case study demonstrated practical application of the method. The hybrid model is a useful tool for urban development planning. On the basis of the results, it is concluded that telecommuting is a highly significant factor in residential location decisions.Key words: telecommuting, land use, residential location, modelling, urban development, stated preference, revealed preference.

A theory of residential location decisions of two-worker households

1982 ◽  
Vol 12 (1) ◽  
pp. 102-114 ◽  
Author(s):  
Christopher Curran ◽  
Leonard A. Carlson ◽  
David A. Ford
Keyword(s):  
Residential Location ◽  
Location Decisions ◽  
Residential Location Decisions
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