IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa12p219.html
   My bibliography  Save this paper

Do rich households live farther away from their workplaces?

Author

Listed:
  • Eva Gutierrez-i-Puigarnau
  • Jos van Ommeren

Abstract

One of the classic predictions of the urban economic theory is that high-income and low-income households choose different residential locations and therefore, conditional on workplace location, have different commuting patterns. Empirical tests of this theory are not standard, due to unobserved heterogeneity of workers, the presence of residential moving costs and a reverse causational relationship of income and distance. This study seeks to examine the long-run causal effect of household income on the workers’ commute. Using German panel data, our empirical approach entails analysing whether changes in household income lead households to locate farther from their workplace - or closer. In our study, we avoid the need of using instrumental variables to deal with endogenity of household income by observing that commuting may affect wages only when workers change job. Only selecting observations of individuals who keep the same employer and job over the observation period, ensures that an observed change in distance must be due to (exogenous) residence relocation. By formulating the model in terms of first differences, we deal with unobserved heterogeneity. In addition, we focus on changes which occur during a period of at least five years for workers who during this period moved residence at least once. In this way, we identify long-term effects, and avoid that due to the presence of residential moving costs, few workers immediately change commuting distance by moving residence. Our empirical study shows that the long-run income elasticity of commuting distance is positive and around 0.18. The estimated elasticities are higher for single wage-earners than for dual wage-earners, and higher for female workers than for male workers. At least for Germany, these results suggest, as workers tend to commute to workplace locations where land prices are higher, that the income elasticity for residential space exceeds the income elasticity for commuting costs. One of the main consequences of this study is then that in the absence of historic city centres amenities or other amenities close to workplace centres, rich households tend to move farther away from the city centre, as is observed in most US cities. This is in contrast to the results of the seminal paper by Wheaton (1977, AER) which states that the standard urban economics model accidentally does not explain variation in household income over space. Keywords: commuting, income elasticity, wage JEL codes: J3, R21

Suggested Citation

  • Eva Gutierrez-i-Puigarnau & Jos van Ommeren, 2012. "Do rich households live farther away from their workplaces?," ERSA conference papers ersa12p219, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p219
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa12/e120821aFinal00221.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lorenz, Olga & Goerke, Laszlo, 2015. "Commuting and Sickness Absence," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113173, Verein für Socialpolitik / German Economic Association.
    2. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-way commuting: Asymmetries from time use surveys," Journal of Transport Geography, Elsevier, vol. 95(C).
    3. Tabuchi, Takatoshi, 2023. "Backward-bending labor supply and urban location," Regional Science and Urban Economics, Elsevier, vol. 102(C).
    4. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    5. Tabuchi, Takatoshi, 2019. "Do the rich and poor colocate in large cities?," Journal of Urban Economics, Elsevier, vol. 113(C).
    6. Ismir Mulalic & Jan Rouwendal, 2022. "Public transport investments, commuting and gentrification: Evidence from Copenhagen," Tinbergen Institute Discussion Papers 22-035/VIII, Tinbergen Institute.
    7. Francis Ostermeijer & Hans R A Koster & Jos van Ommeren & Victor Mayland Nielsen, 2022. "Automobiles and urban density [Urban spatial structure]," Journal of Economic Geography, Oxford University Press, vol. 22(5), pages 1073-1095.
    8. Ina Blind & Matz Dahlberg & Gustav Engström & John Östh, 2018. "Construction of Register-based Commuting Measures," CESifo Economic Studies, CESifo, vol. 64(2), pages 292-326.
    9. Rafa Madariaga & Joan Martori & Ramon Oller, 2014. "Income, distance and amenities. An empirical analysis," Empirical Economics, Springer, vol. 47(3), pages 1129-1146, November.
    10. Boje-Kovacs, Bence & Egsgaard-Pedersen, Aske & Weatherall, Cecilie D., 2021. "Residential mobility and persistent neighborhood deprivation," Journal of Housing Economics, Elsevier, vol. 53(C).
    11. Hybel, Jesper & Mulalic, Ismir, 2022. "Transportation and quality of life," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 107-125.
    12. Konstantin A. Kholodilin & Mariia A. Maksimova, 2019. "How does subway and ground transit proximity affect rental prices?," HSE Working papers WP BRP 212/EC/2019, National Research University Higher School of Economics.
    13. Dauth, Wolfgang & Haller, Peter, 2019. "Loss aversion in the trade-off between wages and commuting distances," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203611, Verein für Socialpolitik / German Economic Association.
    14. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Intermediate activities while commuting," GLO Discussion Paper Series 1080, Global Labor Organization (GLO).
    15. J. Ignacio Gimenez-Nadal & José Alberto Molina, 2016. "Commuting Time And Household Responsibilities: Evidence Using Propensity Score Matching," Journal of Regional Science, Wiley Blackwell, vol. 56(2), pages 332-359, March.
    16. Xiao, Hongyu & Wu, Andy & Kim, Jaeho, 2021. "Commuting and innovation: Are closer inventors more productive?," Journal of Urban Economics, Elsevier, vol. 121(C).
    17. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    19. KONDO Keisuke, 2020. "A Structural Estimation of the Disutility of Commuting," Discussion papers 20031, Research Institute of Economy, Trade and Industry (RIETI).
    20. TABUCHI Takatoshi, 2018. "Where Do the Rich Live in a Big City?," Discussion papers 18020, Research Institute of Economy, Trade and Industry (RIETI).
    21. Dauth, Wolfgang & Haller, Peter, 2016. "The valuation of changes in commuting distances: an analysis using georeferenced data," IAB-Discussion Paper 201643, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    22. Dauth, Wolfgang & Haller, Peter, 2020. "Is there loss aversion in the trade-off between wages and commuting distances?," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    23. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2020. "Commuting and self-employment in Western Europe," Journal of Transport Geography, Elsevier, vol. 88(C).
    24. Hybel, Jesper & Mulalic, Ismir, 2021. "Transportation and Quality of Life: Evidence from Denmark," Working Papers 14-2021, Copenhagen Business School, Department of Economics.

    More about this item

    Keywords

    commuting; income elasticity; wage jel codes: j3; r21;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa12p219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.