IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v19y1992i2p131-142.html
   My bibliography  Save this article

The Research Potential of Administrative Data: An Illustrative Example of the Utility of Register Information in Spatial Analysis

Author

Listed:
  • S Raybould
  • M G Coombes

Abstract

Taking as their starting point the falling utility of government data sources for academic work, the authors seek to discuss possible alternatives. A brief overview of the problems of public data access is presented, and the current situation is outlined with examples, before a more detailed discussion is given of one particular area of growth—register information. The problems of analysing register data are discussed, and an example of a hereditament-based property register is presented in detail. This leads to a discussion of a Monte Carlo methodology as the most appropriate: the methodology is described in principle, before being applied to the exemplar data set. Last, the combination of a novel data set with this methodology is evaluated, and the ‘real-world’ question of whether Tyneside's light rail transit system, ‘Metro’, has influenced land-use change in the area is taken as an example.

Suggested Citation

  • S Raybould & M G Coombes, 1992. "The Research Potential of Administrative Data: An Illustrative Example of the Utility of Register Information in Spatial Analysis," Environment and Planning B, , vol. 19(2), pages 131-142, April.
  • Handle: RePEc:sae:envirb:v:19:y:1992:i:2:p:131-142
    DOI: 10.1068/b190131
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/b190131
    Download Restriction: no

    File URL: https://libkey.io/10.1068/b190131?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. F. H. C. Marriott, 1979. "Barnard's Monte Carlo Tests: How Many Simulations?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(1), pages 75-77, March.
    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. Dufour, Jean-Marie, 2006. "Monte Carlo tests with nuisance parameters: A general approach to finite-sample inference and nonstandard asymptotics," Journal of Econometrics, Elsevier, vol. 133(2), pages 443-477, August.
    2. Jouneau-Sion, Frederic & Torres, Olivier, 2006. "MMC techniques for limited dependent variables models: Implementation by the branch-and-bound algorithm," Journal of Econometrics, Elsevier, vol. 133(2), pages 479-512, August.
    3. Chiu, Sung Nok & Wang, Ling, 2009. "Homogeneity tests for several Poisson populations," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4266-4278, October.
    4. Kiviet, Jan F. & Dufour, Jean-Marie, 1997. "Exact tests in single equation autoregressive distributed lag models," Journal of Econometrics, Elsevier, vol. 80(2), pages 325-353, October.
    5. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    6. Diks, Cees, 2003. "Detecting serial dependence in tail events: a test dual to the BDS test," Economics Letters, Elsevier, vol. 79(3), pages 319-324, June.
    7. Diks Cees & Panchenko Valentyn, 2008. "Rank-based Entropy Tests for Serial Independence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(1), pages 1-21, March.
    8. Cees Diks & Valentyn Panchenko, 2005. "Nonparametric Tests for Serial Independence Based on Quadratic Forms," Tinbergen Institute Discussion Papers 05-076/1, Tinbergen Institute.
    9. Angus, J.E., 1984. "The connection between the Barnard-Birnbaum Monte Carlo test and the two-sample Kolmogorov-Smirnov test," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 26(1), pages 20-22.
    10. Jesse Hemerik & Jelle J. Goeman & Livio Finos, 2020. "Robust testing in generalized linear models by sign flipping score contributions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 841-864, July.
    11. Pascale VALERY (HEC-Montreal) & Jean-Marie Dufour (University of Montreal), 2004. "A simple estimation method and finite-sample inference for a stochastic volatility model," Econometric Society 2004 North American Summer Meetings 153, Econometric Society.
    12. Ugo Santosuosso & Alessio Papini, 2022. "An analysis about the accuracy of geographic profiling in relation to the number of observations and the buffer zone," Journal of Geographical Systems, Springer, vol. 24(4), pages 641-656, October.
    13. Chiu, Sung Nok & Liu, Kwong Ip, 2009. "Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions," Computational Statistics & Data Analysis, Elsevier, vol. 53(11), pages 3817-3834, September.
    14. Davidson, Russell & MacKinnon, James G., 1996. "The Power of Bootstrap Tests," Queen's Institute for Economic Research Discussion Papers 273372, Queen's University - Department of Economics.

    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:envirb:v:19:y:1992:i:2:p:131-142. 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.