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Regional Factors Hindering Tuberculosis Spread In Romania. Evidence From A Semiparametric Gwr Model

Author

Listed:
  • Zizi GOSCHIN

    (The Bucharest University of Economic Studies, Department of Statistics and Econometrics; Institute of National Economy)

  • Elena DRUICA

    (University of Bucharest, Department of Economics and Administration)

Abstract

While hastily celebrating the downwards trend in the emergence of new tuberculosis (TB) cases, most researchers overlooked not only several unsolved medical problems, but also the high local inequalities and diverging territorial trends of this disease in Romania. Our paper fills this gap in the literature by analysing how specific local factors impact on TB incidence, with a focus on healthcare infrastructure, captured through a custom made composite index. Aiming to address properly the spatial dimension of the phenomenon, we used a semiparametric (mixed) geographically weighed regression (GWR) model, which is especially valuable in this context as it brings additional information regarding the variation of factors across the country. The results confirm the importance of healthcare endowment in countering the spread of TB and enable a better understanding of the specific influence of local characteristics.

Suggested Citation

  • Zizi GOSCHIN & Elena DRUICA, 2017. "Regional Factors Hindering Tuberculosis Spread In Romania. Evidence From A Semiparametric Gwr Model," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 6(1), pages 16-29, JULY.
    • Handle: RePEc:aes:jsesro:v:6:y:2017:i:1:p:16-29
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    References listed on IDEAS

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    1. N/A, 2011. "Books For Review," Work, Employment & Society, British Sociological Association, vol. 25(1), pages 190-190, March.
    2. A S Fotheringham & M E Charlton & C Brunsdon, 1998. "Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis," Environment and Planning A, , vol. 30(11), pages 1905-1927, November.
    3. N/A, 2009. "Books available for review," Work, Employment & Society, British Sociological Association, vol. 23(4), pages 819-822, December.
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    More about this item

    Keywords

    geographically weighed regression; tuberculosis; healthcare; Romania;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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