IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v27y1995i2p181-192.html
   My bibliography  Save this article

Context Dependencies in Housing Choice Behavior

Author

Listed:
  • H Timmermans
  • L van Noortwijk

Abstract

Existing experimentally based decompositional models of housing preferences and choice behavior do not account for possible substitution or context dependencies among choice alternatives. These authors seek to extend existing models by demonstrating how discrete choice experiments may be used to develop housing choice models that allow one to test for possible context dependencies. The design strategy and model specification are discussed. The modelling approach is illustrated in the context of simulated housing choices of divorcees. The results indicate that context dependencies play a significant role in the understanding of these people's housing preferences and choices.

Suggested Citation

  • H Timmermans & L van Noortwijk, 1995. "Context Dependencies in Housing Choice Behavior," Environment and Planning A, , vol. 27(2), pages 181-192, February.
  • Handle: RePEc:sae:envira:v:27:y:1995:i:2:p:181-192
    DOI: 10.1068/a270181
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a270181
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a270181?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. E. Aufhauser & M. M. Fischer & H. Schönhofer, 1986. "A Disaggregated Probabilistic Approach To A Regulated Housing Market With Emphasis On The Demand Side: The Vienna Case," Papers in Regional Science, Wiley Blackwell, vol. 60(1), pages 133-153, January.
    2. Alan G. Phipps, 1989. "Residential Stress And Consumption Disequilibrium In The Saskatoon Housing Market," Papers in Regional Science, Wiley Blackwell, vol. 67(1), pages 71-87, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Diego Salzman, 2013. "Behavioural Real Estate," ERES eres2013_334, European Real Estate Society (ERES).
    2. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    3. Toshio Fujimi & Hirokazu Tatano, 2012. "Estimation of indirect economic loss caused by house destruction in a natural disaster," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1367-1388, April.
    4. Earnhart, Dietrich, 2002. "Combining Revealed and Stated Data to Examine Housing Decisions Using Discrete Choice Analysis," Journal of Urban Economics, Elsevier, vol. 51(1), pages 143-169, January.
    5. Diego A. Salzman & Remco C.J. Zwinkels, 2013. "Behavioural Real Estate," Tinbergen Institute Discussion Papers 13-088/IV/DSF58, Tinbergen Institute.

    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. Eric J E Molin & Harry J P Timmermans, 2003. "Testing Hierarchical Information Integration Theory: The Causal Structure of Household Residential Satisfaction," Environment and Planning A, , vol. 35(1), pages 43-58, January.
    2. Gao, Yanan & Rasouli, Soora & Timmermans, Harry & Wang, Yuanqing, 2018. "Trip stage satisfaction of public transport users: A reference-based model incorporating trip attributes, perceived service quality, psychological disposition and difference tolerance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 759-775.
    3. Wen Jiang & Tao Feng & Harry JP Timmermans, 2020. "Non-linear asymmetric gap models of residential satisfaction: Formulation and empirical evidence," Environment and Planning B, , vol. 47(4), pages 569-589, May.
    4. M P G Schellekens & H J P Timmermans, 1997. "A Conjoint-Based Simulation Model of Housing-Market Clearing Processes: Theory and Illustration," Environment and Planning A, , vol. 29(10), pages 1831-1846, October.
    5. Abdul Hamid Mar Iman & Fu Yek Pieng & Christopher Gan, 2012. "A Conjoint Analysis of Buyers' Preferences for Residential Property," International Real Estate Review, Global Social Science Institute, vol. 15(1), pages 73-105.

    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:27:y:1995:i:2:p:181-192. 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.