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Defining Areas Linking Geographic Data in New Zealand

Author

Listed:
  • Grimes, Arthur
  • Mare, David
  • Morten, Melanie

Abstract

This paper develops a match quality statistic to quantify the trade-off between ‘specificity’ and ‘completeness’ when aggregating one regional aggregation to another. We apply this statistic to calculate the degree of mismatch between various regional aggregations for New Zealand using 1991 and 2001 Census Data. A program to calculate mismatch statistics is included as an appendix, as a Stata® ado file.

Suggested Citation

  • Grimes, Arthur & Mare, David & Morten, Melanie, 2006. "Defining Areas Linking Geographic Data in New Zealand," Motu Working Papers 292862, Motu Economic and Public Policy Research.
    • Handle: RePEc:ags:motuwp:292862
    DOI: 10.22004/ag.econ.292862
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    File URL: https://ageconsearch.umn.edu/record/292862/files/06_07.pdf
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    Cited by:

    1. is not listed on IDEAS
    2. Grimes, Arthur & Mare, David & Morten, Melanie, 2007. "Adjustment in Local Labour and Housing Markets," Motu Working Papers 292850, Motu Economic and Public Policy Research.
    3. Fabling, Richard & Mare, David C., 2012. "Cyclical Labour Market Adjustment in New Zealand: The Response of Firms to the Global Financial Crisis and its Implications for Workers," Motu Working Papers 291422, Motu Economic and Public Policy Research.
    4. Grimes, Arthur & Hyland, Sean, 2013. "Passing the Buck: Impacts of Commodity Price Shocks on Local Outcomes," Motu Working Papers 189522, Motu Economic and Public Policy Research.

    More about this item

    Keywords

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    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

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