IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v37y2000i9p1605-1617.html
   My bibliography  Save this article

An Assessment of the Decision to Extend Government-built Houses in Developing Countries

Author

Listed:
  • A. Graham Tipple

    (Centre for Architectural Research and Development Overseas, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, a.g.tipple@ncl.ac.u)

  • Gillian A. Masters

    (Regional Drug and Therapeutics Centre, University of Newcastle upon Tyne, 25 Claremont Place, NewcastLe upon Tyne, NE1 7RU, G.A.Masters@ncl.ac.uk)

  • Guy D. Garrod

    (Department of Agricultural Economics and Food Marketing, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, Guy.Garrod@ncl.ac.uk)

Abstract

In an international comparative study of self-help transformations (alterations and extensions) to government-built housing in developing countries, sponsored by the Department for International Development, data were collected on the household and housing characteristics of about 400 households in each of 4 case studies (in Dhaka, Bangladesh; Cairo, Egypt; Kumasi, Ghana; and Harare, Zimbabwe). The data for each country have been used in a two-step econometric analysis of the decision to transform. The first step examines the factors which influenced the decision to make an extension in the period 1991-93 (the 3 years before our survey) and the second step examines how much was spent on the extension. In general, it seems that the characteristics of the house were very influential in the decision to transform and in the decision on how much to spend once the transformation had been undertaken. Thus, its frequency could have been influenced by housing design and physical planning policy.

Suggested Citation

  • A. Graham Tipple & Gillian A. Masters & Guy D. Garrod, 2000. "An Assessment of the Decision to Extend Government-built Houses in Developing Countries," Urban Studies, Urban Studies Journal Limited, vol. 37(9), pages 1605-1617, August.
  • Handle: RePEc:sae:urbstu:v:37:y:2000:i:9:p:1605-1617
    DOI: 10.1080/00420980020080281
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1080/00420980020080281
    Download Restriction: no

    File URL: https://libkey.io/10.1080/00420980020080281?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. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Mendelsohn, Robert, 1977. "Empirical evidence on home improvements," Journal of Urban Economics, Elsevier, vol. 4(4), pages 459-468, October.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. A. L. Ziegert, 1988. "The Demand for Housing Additions: An Empirical Analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 16(4), pages 479-496, December.
    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. Guy Garrod & Ken Willis & A. Graham Tipple, 1995. "A Two-stage Econometric Analysis of the Housing Extension Decision in Kumasi, Ghana," Urban Studies, Urban Studies Journal Limited, vol. 32(6), pages 953-970, June.
    2. Wen-Chieh Wu & Yu-Chun Ma & Steven C. Bourassa, 2018. "Folk Customs and Home Improvement Decisions," International Real Estate Review, Global Social Science Institute, vol. 21(3), pages 317-341.
    3. Hans A. Holter & Dirk Krueger & Serhiy Stepanchuk, 2019. "How do tax progressivity and household heterogeneity affect Laffer curves?," Quantitative Economics, Econometric Society, vol. 10(4), pages 1317-1356, November.
    4. Renuka Sane & Susan Thomas, 2020. "From Participation To Repurchase: Low Income Households And Micro‐insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(3), pages 783-814, September.
    5. Michael Ziegelmeyer & Julius Nick, 2013. "Backing out of private pension provision: lessons from Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(3), pages 505-539, August.
    6. Yuen Leng Chow & Isa E. Hafalir & Abdullah Yavas, 2015. "Auction versus Negotiated Sale: Evidence from Real Estate Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 432-470, June.
    7. Xavier Ramos Morilla & Josep Lluís Raymond Bara & Josep Oliver Alonso, 1999. "Not All University Degrees Yield the Same Return: Private and Social Returns to Higher Education for Males in Spain," Working Papers wpdea9904, Department of Applied Economics at Universitat Autonoma of Barcelona.
    8. P.W. Miller & S. Rummery, 1989. "Gender Wage Discrimination in Australia: A reassessment," Economics Discussion / Working Papers 89-21, The University of Western Australia, Department of Economics.
    9. Giovanna Culot & Matteo Podrecca & Guido Nassimbeni & Guido Orzes & Marco Sartor, 2023. "Using supply chain databases in academic research: A methodological critique," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(1), pages 3-25, January.
    10. John Simon & Tahlee Stone, 2017. "The Property Ladder after the Financial Crisis: The First Step is a Stretch but Those Who Make It Are Doing OK," RBA Research Discussion Papers rdp2017-05, Reserve Bank of Australia.
    11. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    12. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    13. Alireza Rezaee & Mojtaba Ganjali & Ehsan Bahrami Samani, 2022. "Sample selection bias with multiple dependent selection rules: an application to survey data analysis with multilevel nonresponse," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 158(1), pages 1-15, December.
    14. Aldashev, Alisher & Gernandt, Johannes & Thomsen, Stephan L., 2009. "Language usage, participation, employment and earnings: Evidence for foreigners in West Germany with multiple sources of selection," Labour Economics, Elsevier, vol. 16(3), pages 330-341, June.
    15. Arndt Reichert & Harald Tauchmann, 2014. "When outcome heterogeneously matters for selection: a generalized selection correction estimator," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 762-768, March.
    16. Eric Rasmusen, 1995. "Observed Choice, Estimation, and Optimism About Policy Changes," Econometrics 9506004, University Library of Munich, Germany, revised 16 Jun 1995.
    17. Rama Lionel Ngenzebuke, 2016. "Female say on income and child outcomes: Evidence from Nigeria," WIDER Working Paper Series 134, World Institute for Development Economic Research (UNU-WIDER).
    18. Takashi Yamagata & Chris Orme, 2005. "On Testing Sample Selection Bias Under the Multicollinearity Problem," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 467-481.
    19. Carlos Casacuberta & N鳴or Gandelman, 2012. "Multiple job holding: the artist's labour supply approach," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 323-337, January.
    20. Yasser Razak Hussain & Pranab Mukhopadhyay, 2023. "How Much do Education, Experience, and Social Networks Impact Earnings in India? A Panel Data Analysis Disaggregated by Class, Gender, Caste and Religion," SAGE Open, , vol. 13(4), pages 21582440231, December.

    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:urbstu:v:37:y:2000:i:9:p:1605-1617. 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: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    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.