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Spatial Econometric Models and The Analysis of the Determinants of Internal Migration in Turkey

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  • Suna Tatli

    (Istanbul Rumeli University, Vocational School of Health Services, Department of Medical Services and Techniques, Istanbul, Turkiye)

  • Ferda Yerdelen Tatoglu

    (Istanbul University, Faculty of Economics Department of Econometrics, Istanbul, Turkiye)

Abstract

Spatial econometric models have become increasingly popular in economic studies, especially in recent years. These models differ from classical econometric models in that they take into account the effects arising from the location of the data set subject to the study. The spatial effect seen in a data set comes in two forms. The first form is spatial autocorrelation, which is defined as the correlation between neighboring locations. The other form is spatial heterogeneity, defined as the variance of a variable under consideration from place to place. The aim of this study was to find out whether the factors affecting provincial migration in Turkey have spatial characteristics. For this purpose, data from 2014 were selected as all data were accessible. A coherence matrix was constructed by considering the borders of the provinces to show the possible spatial relationship and this matrix was used in the econometric models. The distribution map of migration by province was examined and it was found that there was significant clustering, especially towards the northeast-southwest. From this point of view, the provinces where the spatial effect was significant in the clustered regions were identified using LISA statistics. The spatial model was determined in accordance with the orientation of the factors affecting migration and the movement of these variables was evaluated based on the provinces with significant correlation. The results obtained fit with the economic theory.

Suggested Citation

  • Suna Tatli & Ferda Yerdelen Tatoglu, 2022. "Spatial Econometric Models and The Analysis of the Determinants of Internal Migration in Turkey," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 93-110, June.
    • Handle: RePEc:ist:ekoist:v:0:y:2022:i:36:p:93-110
    DOI: 10.26650/ekoist.2022.36.995797
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    References listed on IDEAS

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    1. Tunali, Insan, 1996. "Migration and Remigration of Male Household Heads in Turkey, 1963-1973," Economic Development and Cultural Change, University of Chicago Press, vol. 45(1), pages 31-67, October.
    2. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    3. Badi H. Baltagi & Peter Egger & Michael Pfaffermayr, 2013. "A Generalized Spatial Panel Data Model with Random Effects," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 650-685, August.
    4. Oscar Villar & Esther Vayá, 2005. "Financial Contagion between Economies - an Exploratory Spatial Analysis," ERSA conference papers ersa05p574, European Regional Science Association.
    5. Munro, John M, 1974. "Migration in Turkey," Economic Development and Cultural Change, University of Chicago Press, vol. 22(4), pages 634-653, July.
    6. Leen Hordijk, 1979. "Problems In Estimating Econometric Relations In Space," Papers in Regional Science, Wiley Blackwell, vol. 42(1), pages 99-115, January.
    7. Blommestein, Hans J., 1983. "Specification and estimation of spatial econometric models : A discussion of alternative strategies for spatial economic modelling," Regional Science and Urban Economics, Elsevier, vol. 13(2), pages 251-270, May.
    8. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
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