Historical GIS: Understanding spatial heterogeneities


Geographic Information System (GIS) is a useful tool to analyze the spatial heterogeneities of socioeconomic outcomes. We utilize the historical statistics with the location information recently provided by Geospatial Information Authority to investigate the spatial distributions of those outcomes.

The historical GIS method provides valuable spatial information, such as the location information, adjacent matrices of the municipalities, and topographical features. Indeed, this method expands our empirical strategy. For instance, it enables us to link the socioeconomic data at a certain point with the meteorological information observed at the nearest observatory. In another instance, the adjacent matrices calculated using official shapefiles can be used for estimating standard errors that allow for the spatial correlations among lattices.


  1. Kota Ogasawara.
    Persistence of natural disasters on child health: Evidence from the Great Kanto Earthquake of 1923 arXiv
  2. Kota Ogasawara, Mizuki Komura.
    Consequences of war: Japan’s demographic transition and the marriage market SSRN
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    Spatially varying empirical Bayes approach to area-level modelsarXiv
  4. Tatsuki Inoue, Kota Ogasawara.
    Chain effects of clean water: The Mills-Reincke phenomenon in early twentieth-century Japan. arXiv
  5. Kota Ogasawara, Minami Yumitori.
    Early-life exposure to weather shocks and child height: Evidence from industrializing Japan.
    Social Science & Medicine: Population Health 7, 2019.
  6. Kota Ogasawara.
    The long-run effects of pandemic influenza on the development of children from elite backgrounds: Evidence from industrializing Japan.
    Economics & Human Biology 31, 2018, 125-137.
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    Price shocks in regional markets: Japan’s Great Kanto Earthquake of 1923.
    Economic History Review, forthcoming.
  8. Kota Ogasawara, Yukitoshi Matsushita.
    Public health and multiple-phase mortality decline: Evidence from industrializing Japan.
    Economics & Human Biology 29, 2018, 198-210.
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    Long-run effects of early childhood exposure to cholera on final height: Evidence from industrializing Japan.
    Social Science & Medicine: Population Health 4, 2018, 66-70.
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    Heterogeneous treatment effects of safe water on infectious disease: Do meteorological factors matter?
    Cliometrica 13, 2019, 55-82.
  11. Kota Ogasawara.
    Persistence of pandemic influenza on the development of children: Evidence from industrializing Japan.
    Social Science & Medicine 181, 2017, 43-53.
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    Empirical uncertain Bayes methods in area-level models.
    Scandinavian Journal of Statistics 44, 2017, 684-706.
  13. Kota Ogasawara, Shinichiro Shirota, Genya Kobayashi.
    Public health improvements and mortality in interwar Tokyo: A Bayesian disease mapping approach.
    Cliometrica 12, 2018, 1-31.

Funding acknowledgements