IDEAS home Printed from https://ideas.repec.org/a/vrs/coecre/v17y2014i4p203-220n13.html
   My bibliography  Save this article

The Application Of Local Indicators For Categorical Data (LICD) In The Spatial Analysis Of Economic Development

Author

Listed:
  • Pietrzak Michał B.

    (Ph.D., Nicolaus Copernicus University, Faculty of Economic Sciences and Management, Department of Econometrics and Statistics.)

  • Wilk Justyna

    (Ph.D., Wrocław University of Economics, Faculty of Economics, Management and Tourism, Department of Econometrics and Computer Science.)

  • Bivand Roger S.

    (Professor, dr habil., Ph.D., Norwegian School of Economics (NHH), Department of Economics and Adam Mickiewicz University, Institute of Socio-Economic Geography and Spatial Management, Department of Spatial Econometrics.)

  • Kossowski Tomasz

    (Ph.D., Adam Mickiewicz University, Institute of Socio-Economic Geography and Spatial Management, Department of Spatial Econometrics.)

Abstract

The paper makes an attempt to apply local indicators for categorical data (LICD) in the spatial analysis of economic development. The first part discusses the tests which examine spatial autocorrelation for categorical data. The second part presents a two-stage empirical study covering 66 Polish NUTS 3 regions.

Suggested Citation

  • 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.
    • Handle: RePEc:vrs:coecre:v:17:y:2014:i:4:p:203-220:n:13
    DOI: 10.2478/cer-2014-0041
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/cer-2014-0041
    Download Restriction: no
    File URL: https://libkey.io/10.2478/cer-2014-0041?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Barry Boots, 2003. "Developing local measures of spatial association for categorical data," Journal of Geographical Systems, Springer, vol. 5(2), pages 139-160, August.
    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. Qing Luo & Daniel A. Griffith & Huayi Wu, 2019. "Spatial autocorrelation for massive spatial data: verification of efficiency and statistical power asymptotics," Journal of Geographical Systems, Springer, vol. 21(2), pages 237-269, June.
    2. Brajendra C. Sutradhar & R. Prabhakar Rao, 2023. "Asymptotic Inferences in a Multinomial Logit Mixed Model for Spatial Categorical Data," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 885-930, February.
    3. Michal Bernard Pietrzak, 2016. "The Problem of the Inclusion of Spatial Dependence Within the TOPSIS Method," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 12(3), pages 69-86.
    4. Herrera Gómez, Marcos, 2013. "Análisis de Estructuras Espaciales Persistentes. Desempleo Departamental en Argentina [Persistent Spatial Structure Analysis. Regional Unemployment in Argentina]," MPRA Paper 49407, University Library of Munich, Germany.
    5. Adam P. Balcerzak & Michal Bernard Pietrzak, 2016. "Dynamic Panel Analysis of Influence of Quality of Human Capital on Total Factor Productivity in Old European Union Countries," Working Papers 19/2016, Institute of Economic Research, revised May 2016.
    6. Jiani Guo & Ming Zhang, 2021. "Exploring the Patterns and Drivers of Urban Expansion in the Texas Triangle Megaregion," Land, MDPI, vol. 10(11), pages 1-19, November.
    7. Luc Anselin, 2019. "Quantile local spatial autocorrelation," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 155-166, August.
    8. Michal Bernard Pietrzak & Adam P. Balcerzak, 2016. "Quality of Human Capital and Total Factor Productivity in New European Union Members States," Working Papers 23/2016, Institute of Economic Research, revised May 2016.
    9. Francesco Riccioli & Roberto Fratini & Fabio Boncinelli, 2021. "The Impacts in Real Estate of Landscape Values: Evidence from Tuscany (Italy)," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    10. Luc Anselin & Xun Li, 2019. "Operational local join count statistics for cluster detection," Journal of Geographical Systems, Springer, vol. 21(2), pages 189-210, June.

    More about this item

    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

    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:vrs:coecre:v:17:y:2014:i:4:p:203-220:n:13. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.