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The influence of classification method selection on the identification of spatial dependence – application of join-count test

Author

Listed:
  • Michal Bernard Pietrzak

    (Nicolaus Copernicus University, Poland)

  • Justyna Wilk

    (Wroclaw University of Economics, Poland)

  • Roger Bivand

    (Norwegian School of Economics (NHH) in Bergen, Norway)

  • Tomasz Kossowski

    (Adam Mickiewicz University in Poznan, Poland)

Abstract

A lot of regional studies cover classification of territorial units due to considering research problem. This approach examines territorial diversification of a phenomena, as well as spatial interactions. The occurrence of spatial dependence can reveal the processes of creating or extanding spatial clusters. One of the significant determinants of research results is a way of classification. Different approach leads to diversified divisions of territorial units. The objective of this paper is to examine the influence of classification method selection on the spatial autocorrelation analysis results using join-count test. This test, in contradiction to the other methods proposed in the field of spatial statistics, analyzes spatial autocorrelation based on qualitative data. Therefore, it can be applied in the examination of spatial dependence between territorial units from distinguished classes of territorial units.

Suggested Citation

  • Michal Bernard Pietrzak & Justyna Wilk & Roger Bivand & Tomasz Kossowski, 2014. "The influence of classification method selection on the identification of spatial dependence – application of join-count test," Working Papers 21/2014, Institute of Economic Research, revised Nov 2014.
    • Handle: RePEc:pes:wpaper:2014:no21
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    More about this item

    Keywords

    join-count test; spatial dependence; classification; qualitative data; economic development.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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