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  1. Accounting for unobservable heterogeneity in cross section using spatial first differences
    Author: Druckenmiller, Hannah; Hsiang, Solomon
    Published: October 2018
    Publisher:  National Bureau of Economic Research, Cambridge, MA

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    W 1 (25177)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Working paper series / National Bureau of Economic Research ; 25177
    Subjects: Querschnittsanalyse; Pflanzenbau; Umweltkosten; Klimawandel; USA
    Scope: 36, 2 Seiten, Illustrationen
    Notes:

    Erscheint auch als Online-Ausgabe
  2. Global High-Resolution Estimates of the United Nations Human Development Index Using Satellite Imagery and Machine-learning
    Author: Sherman, Luke; Proctor, Jonathan; Druckenmiller, Hannah; Tapia, Heriberto; Hsiang, Solomon
    Published: March 2023
    Publisher:  National Bureau of Economic Research, Cambridge, Mass

    The United Nations Human Development Index (HDI) is arguably the most widely used alternative to gross domestic product for measuring national development. This is in large part due to its multidimensional nature, as it incorporates not only income,... more

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    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
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    Universitätsbibliothek Freiburg
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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    No inter-library loan

     

    The United Nations Human Development Index (HDI) is arguably the most widely used alternative to gross domestic product for measuring national development. This is in large part due to its multidimensional nature, as it incorporates not only income, but also education and health. However, the low country-level resolution of the global HDI data released by the Human Development Report Office of the United Nations Development Programme (N=191 countries) has limited its use at the local level. Recent efforts used labor-intensive survey data to produce HDI estimates for first-level administrative units (e.g., states/provinces). Here, we build on recent advances in machine learning and satellite imagery to develop the first global estimates of HDI for second-level administrative units (e.g., municipalities/counties, N = 61,591) and for a global 0.1 * 0.1 degree grid (N=806,361). To accomplish this we develop and validate a generalizable downscaling technique based on satellite imagery that allows for training and prediction with observations of arbitrary shape and size. This enables us to train a model using provincial administrative data and generate HDI estimates at the municipality and grid levels. Our results indicate that more than half of the global population was previously assigned to the incorrect HDI quintile within each country, due to aggregation bias resulting from lower resolution estimates. We also illustrate how these data can improve decision-making. We make these high resolution HDI estimates publicly available in the hope that they increase understanding of human wellbeing globally and improve the effectiveness of policies supporting sustainable development. We also make available the satellite features and software necessary to increase the spatial resolution of any other global-scale administrative data that is detectable via imagery

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: NBER working paper series ; no. w31044
    Subjects: Entwicklungsindikator; Messung; Berechnung; Datenerhebung; Armut; Weltraumtechnik; Welt; Econometric and Statistical Methods and Methodology: General; Data Collection and Data Estimation Methodology; Computer Programs; Measurement and Analysis of Poverty; General Regional Economics
    Scope: 1 Online-Ressource, illustrations (black and white)
    Notes:

    Hardcopy version available to institutional subscribers