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Dealing with Intraregional Flows in Spatial Econometric Gravity Models

In: Spatial Econometric Interaction Modelling

Author

Listed:
  • Kazuki Tamesue

    (University of Tsukuba)

  • Morito Tsutsumi

    (University of Tsukuba)

Abstract

While LeSage and Pace (J Reg Sci 48:941–967, 2008) had succeeded in modeling origin–destination (OD) flows by using a spatial econometric approach (spatial econometric gravity model), most studies have not paid appropriate attention towards the treatment of intraregional flows. This study discusses issues regarding intraregional flows within the spatial econometric gravity model, mainly focusing on the definition of internal distances and unobserved intraregional flows, and introduces approaches to deal with associated problems. Specifically, the Expectation-Maximization (EM) algorithm method in Tsutsumi and Tamesue (Environ Plan B 39(6):1006–1015, 2012) and Heckman’s two-step estimation method are discussed for solving the unobserved intraregional flow issue. The results from the application of these methods to Japanese migration data show validity of both approaches. The study also takes an experimental analysis regarding to the difference in nature of interregional and intraregional flows.

Suggested Citation

  • Kazuki Tamesue & Morito Tsutsumi, 2016. "Dealing with Intraregional Flows in Spatial Econometric Gravity Models," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 105-119, Springer.
    • Handle: RePEc:spr:adspcp:978-3-319-30196-9_6
    DOI: 10.1007/978-3-319-30196-9_6
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    Citations

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    Cited by:

    1. Murayama, Koji & Nagayasu, Jun, 2019. "Spatial Dependence, Social Networks, and Economic Structures in Regional Labor Migration," MPRA Paper 95691, University Library of Munich, Germany.
    2. Koji Murayama & Jun Nagayasu & Lamia Bazzaoui, 2022. "Spatial Dependence, Social Networks, and Economic Structures in Japanese Regional Labor Migration," Sustainability, MDPI, vol. 14(3), pages 1-31, February.
    3. Dargel, Lukas, 2021. "Revisiting Estimation Methods for Spatial Econometric Interaction Models," TSE Working Papers 21-1192, Toulouse School of Economics (TSE).
    4. Lukas Dargel, 2021. "Revisiting estimation methods for spatial econometric interaction models," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-41, December.
    5. Moura, Ticiana Grecco Zanon & Chen, Zhangliang & Garcia-Alonso, Lorena, 2019. "Spatial interaction effects on inland distribution of maritime flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 1-10.

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