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Geographically weighted bivariate generalized Poisson regression: application to infant and maternal mortality data

Author

Listed:
  • Purhadi

    (Institut Teknologi Sepuluh Nopember)

  • Sutikno

    (Institut Teknologi Sepuluh Nopember)

  • Sarni Maniar Berliana

    (Institut Teknologi Sepuluh Nopember
    Politeknik Statistika STIS)

  • Dewi Indra Setiawan

    (Institut Teknologi Sepuluh Nopember)

Abstract

Bivariate generalized Poisson regression (BGPR) is an extension of bivariate Poisson regression which deals overdipersion or underdispersion problem. This model gives global regression coefficients for all observations (locations) in the analysis. The BGPR model is then extended to take into account spatial heterogeneity, called geographically weighted bivariate generalized Poisson regression model, that yields varying regression coefficients locally. The regression model is applied to analyse factors affecting number of infant and maternal mortality in East Java, Indonesia.

Suggested Citation

  • Purhadi & Sutikno & Sarni Maniar Berliana & Dewi Indra Setiawan, 2021. "Geographically weighted bivariate generalized Poisson regression: application to infant and maternal mortality data," Letters in Spatial and Resource Sciences, Springer, vol. 14(1), pages 79-99, April.
    • Handle: RePEc:spr:lsprsc:v:14:y:2021:i:1:d:10.1007_s12076-021-00266-5
    DOI: 10.1007/s12076-021-00266-5
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    References listed on IDEAS

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    Cited by:

    1. Alexandru Bănică & Ionel Muntele, 2023. "Local and regional factors of spatial differentiation of the excess mortality related to the COVID-19 pandemic in Romania," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-21, December.

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    More about this item

    Keywords

    Count data; Spatial analysis; Spatial heterogeneity;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I10 - Health, Education, and Welfare - - Health - - - General

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