The application of local indicators for categorical data (LICD) in the spatial analysis of economic development
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Other versions of this item:
- Pietrzak Michał B. & Wilk Justyna & Bivand Roger S. & Kossowski Tomasz, 2014. "The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development," Comparative Economic Research, Sciendo, vol. 17(4), pages 203-220, December.
References listed on IDEAS
- Michal Bernard Pietrzak & Justyna Wilk & Tomasz Kossowski & Roger Bivand, 2013. "The identification of spatial dependence in the analysis of regional economic development – join-count test application, IER Working Papers, 2013, No. 30," Working Papers 30/2013, Institute of Economic Research, revised Jul 2013.
- Barry Boots, 2003. "Developing local measures of spatial association for categorical data," Journal of Geographical Systems, Springer, vol. 5(2), pages 139-160, August.
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More about this item
Keywords
join-count test; spatial dependence; local indicators of spatial association (LISA); explorative spatial data analysis (ESDA); 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
NEP fields
This paper has been announced in the following NEP Reports:- NEP-TRA-2014-10-22 (Transition Economics)
- NEP-URE-2014-10-22 (Urban and Real Estate Economics)
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