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.

scholarly journals Railway and road discrete choice model for foreign trade freight between Antioquia and the Port of Cartagena

2016 ◽  
Vol 36 (3) ◽  
pp. 22 ◽  
Author(s):  
Juan Diego Pineda Jaramillo ◽  
Iván Reinaldo Sarmiento Ordosgoitia ◽  
Jorge Eliécer Córdoba Maquilón
Keyword(s):  
Qualitative Research ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Model ◽  
Stated Preference ◽  
Revealed Preference ◽  
Freight Transportation ◽  
Multinomial Logit Model ◽  
Discrete Choice Model ◽  
The Cost

Most Colombian freight is transported on roads with barely acceptable conditions, and although there is a speculation about the need for a railway for freight transportation, there is not a study in Colombia showing the variables that influence the modal choice by the companies that generate freight transportation. This article presents the calculation of demand for a hypothetical railway through a discrete choice model. It begins with a qualitative research through focus group techniques to identify the variables that influence the choice of persons responsible for the transportation of large commercial companies in Antioquia (Colombia). The influential variables in the election were the cost and service frequency, and these variables were used to apply a Stated Preference (SP) and Revealed Preference (RP) survey, then to calibrate a Multinomial Logit Model (MNL), and to estimate the influence of each of them. We show that the probability of railway choice by the studied companies varies between 67% and 93%, depending on differences in these variables.

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.

scholarly journals Willingness-to-pay for CO2 offsets: A large-scale field study on revealed preferences in the aviation

2021 ◽  
Author(s):  
Francisco Schlöder ◽  
Sebastian Berger ◽  
Andreas Kilchenmann ◽  
Oliver Lenz
Keyword(s):  
Willingness To Pay ◽  
Field Study ◽  
Effect Size ◽  
Large Scale ◽  
Stated Preference ◽  
Revealed Preference ◽  
Revealed Preferences ◽  
Final Sample ◽  
Climate Action ◽  
Large Scale Field

Studies assessing people’s willingness-to-pay for carbon offsets are overwhelmingly grounded in hypothetical stated-preference approaches. Here, we report on a large-scale observational field study involving a final sample of 63,520 bookings made with a European airline, allowing us to gauge willingness-to-pay for offsets in a revealed-preference approach. Our pre-registered study shows that the median willingness-to-pay to voluntarily offset a ton of CO2 from flight-related emissions is zero, with the mean willingness-to-pay being around 1 EUR. Neither prices of the offset nor airfares are predictive of offsetting behavior in a highly powered sample. Climate vulnerability of the destination has no significant impact on the compensation decision either. On the other hand, higher ancillary spending is associated with an increased likelihood to compensate, even though the effect size is low due to the general unwillingness to internalize flight-related emissions. Additionally, we find the choice of a vegetarian meal to be of similar predictive power (significant, but low in effect size given an overall low proportion of passengers choosing a vegetarian meal). Our results inform existing research on stated preferences as well as mitigation efforts relying on voluntary climate action.

scholarly journals Joint Estimation of Revealed and Stated Preference Data: An Application to Recreational Red Snapper Valuation

2003 ◽  
Vol 32 (2) ◽  
pp. 209-221 ◽  
Author(s):  
Dhazn Gillig ◽  
Richard Woodward ◽  
Teofilo Ozuna ◽  
Wade L. Griffin
Keyword(s):  
Stated Preference ◽  
Contingent Valuation Method ◽  
Revealed Preference ◽  
Estimation Procedure ◽  
Joint Estimation ◽  
Red Snapper ◽  
Preference Data ◽  
Valuation Method ◽  
Upper Limit ◽  
Stated Preference Data

This study extends the joint estimation of revealed and stated preference data literature by accounting for truncation in the revealed preference data. The analytical model and estimation procedure are used to estimate the value of recreational red snapper fishing in the Gulf of Mexico. This recreational red snapper valuation is decomposed into its direct and indirect components. As expected, the value of recreational red snapper fishing using the joint revealed-stated preference model proposed in this analysis is bracketed on the upper limit by the value obtained using the contingent valuation method and on the lower limit by the travel cost method. The results also indicate that the joint model improves the precision of estimated recreational red snapper valuation.

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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