IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v18y1986i1p53-62.html
   My bibliography  Save this article

Forms of Utility Function for Residential Behavior Analysis and Neighborhood Benefits Estimation

Author

Listed:
  • H Morisugi

    (Department of Civil Engineering, Gifu University, 1-1 Yanagido, Gifu 501-11, Japan)

  • T Yoshida

    (Department of Social Systems Development, Mitubishi Research Institute, 3-6, Otemachi 2-Chome, Chiyodaku, Tokyo 100, Japan)

Abstract

The main objective of this paper is to answer the question of what form of utility function is best for forecasting residential behavior and estimating the benefits of various neighborhood changes. This question is a key factor when consistently analyzing the impacts of residential environmental changes on residential behavior and measuring the benefits, because the magnitude and sensitivity of such impacts and benefits vary with the specified utility function forms. In this paper, first, residential behavior is formulated and then benefits of residential environmental changes are rigorously defined emphasizing the importance of estimating the utility function. Second, four utility function forms, namely, linear, log-linear, CES (constant elasticity of substitution), and VES (variable elasticity of substitution), are adopted, and a method for estimating the parameters of the specified utility functions is proposed. Based on a case study, it is concluded that the CES form is best in terms both of analyzing residential behavior and of estimating the benefits of various neighborhood changes.

Suggested Citation

  • H Morisugi & T Yoshida, 1986. "Forms of Utility Function for Residential Behavior Analysis and Neighborhood Benefits Estimation," Environment and Planning A, , vol. 18(1), pages 53-62, January.
  • Handle: RePEc:sae:envira:v:18:y:1986:i:1:p:53-62
    DOI: 10.1068/a180053
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a180053
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a180053?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. King, Mervyn A., 1983. "Welfare analysis of tax reforms using household data," Journal of Public Economics, Elsevier, vol. 21(2), pages 183-214, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tran, Chung & Wende, Sebastian, 2021. "On the marginal excess burden of taxation in an overlapping generations model," Journal of Macroeconomics, Elsevier, vol. 70(C).
    2. Ugo Colombino & Nizamul Islam, 2021. "Combining microsimulation and optimization to identify optimal universalistic tax-transfer rule," LISER Working Paper Series 2021-06, Luxembourg Institute of Socio-Economic Research (LISER).
    3. Dissou, Yazid & Siddiqui, Muhammad Shahid, 2014. "Can carbon taxes be progressive?," Energy Economics, Elsevier, vol. 42(C), pages 88-100.
    4. Jean-Yves Duclos & Paul Makdissi & Quentin Wodon, 2008. "Socially Improving Tax Reforms," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1505-1537, November.
    5. Joel Waldfogel, 2015. "First Degree Price Discrimination Goes to School," Journal of Industrial Economics, Wiley Blackwell, vol. 63(4), pages 569-597, December.
    6. Koen Decancq & Marc Fleurbaey & Erik Schokkaert, 2015. "Happiness, Equivalent Incomes and Respect for Individual Preferences," Economica, London School of Economics and Political Science, vol. 82, pages 1082-1106, December.
    7. Barros, Carlos Pestana & Prieto-Rodriguez, Juan, 2008. "A revenue-neutral tax reform to increase demand for public transport services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 659-672, May.
    8. Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019. "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series 8838, The World Bank.
    9. Thomas F. Crossley & Krishna Pendakur, 2002. "Consumption Inequality," Department of Economics Working Papers 2002-09, McMaster University.
    10. Urzúa, Carlos M., 2004. "The Ahmad-Stern approach revisited: Variants and an application to Mexico," EGAP Working Papers 2004-05, Tecnológico de Monterrey, Campus Ciudad de México.
    11. Tovar Reaños, Miguel A., 2021. "Floods, flood policies and changes in welfare and inequality: Evidence from Germany," Ecological Economics, Elsevier, vol. 180(C).
    12. Jeni Klugman, 2007. "Ethiopia : Explaining Food Price Inflation," World Bank Publications - Reports 19539, The World Bank Group.
    13. Bosmans, Kristof & Decancq, Koen & Ooghe, Erwin, 2018. "Who's afraid of aggregating money metrics?," Theoretical Economics, Econometric Society, vol. 13(2), May.
    14. DECANCQ, Koen & FLEURBAEY, Marc & SCHOKKAERT, Erik, 2014. "Inequality, income, and well-being," LIDAM Discussion Papers CORE 2014018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Paul Makdissi & Stéphane Mussard, 2009. "Rank-Dependent Measures of Bi-Polarization and Marginal Tax Reforms," Working Papers 09-29, LAMETA, Universtiy of Montpellier, revised Dec 2009.
    16. Kanbur, Ravi & Keen, Michael & Tuomala, Matti, 1994. "Optimal non-linear income taxation for the alleviation of income-poverty," European Economic Review, Elsevier, vol. 38(8), pages 1613-1632, October.
    17. Skinner, Jonathan, 1996. "The dynamic efficiency cost of not taxing housing," Journal of Public Economics, Elsevier, vol. 59(3), pages 397-417, March.
    18. Inge Mayeres, 1999. "The Distributional Impacts of Policies for the Control of Transport Externalities.An Applied General Equilibrium Model," Working Papers 1999.8, Fondazione Eni Enrico Mattei.
    19. Rausch, Sebastian & Metcalf, Gilbert E. & Reilly, John M., 2011. "Distributional impacts of carbon pricing: A general equilibrium approach with micro-data for households," Energy Economics, Elsevier, vol. 33(S1), pages 20-33.
    20. Koen Decancq & Erik Schokkaert, 2016. "Beyond GDP: Using Equivalent Incomes to Measure Well-Being in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(1), pages 21-55, March.

    More about this item

    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:sae:envira:v:18:y:1986:i:1:p:53-62. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: SAGE Publications (email available below). General contact details of provider: .

    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.