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Hospital Treatment Rates and Spill-Over Effects: Does Ownership Matter?

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Abstract

This paper studies the effect of hospital ownership on treatment rates allowing for spatial correlation among hospitals. Competition among hospitals and knowledge spillovers generate significant externalities which we try to capture using the spatial Durbin model. Using a panel of 2342 hospitals in the 48 continental states observed over the period 2005 to 2008, we find significant spatial correlation of medical service treatment rates among hospitals. We also get mixed results on the effect of hospital ownership on treatment rates that depends upon the market structure where the hospital is located and which varies by treatment type.

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  • Badi H. Baltagi & Yin-Fang Yen, 2014. "Hospital Treatment Rates and Spill-Over Effects: Does Ownership Matter?," Center for Policy Research Working Papers 165, Center for Policy Research, Maxwell School, Syracuse University.
  • Handle: RePEc:max:cprwps:165
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    File URL: https://surface.syr.edu/cpr/197/
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    3. Propper, Carol & Kunz, Johannes & Staub, Kevin & Winkelmann, Rainer, 2020. "Assessing the Quality of Public Services: Does Hospital Competition Crowd Out the For-Profit Quality Gap?," CEPR Discussion Papers 15045, C.E.P.R. Discussion Papers.
    4. Karmann, Alexander & Sugawara, Shinya, 2022. "Comparing the German and Japanese nursing home sectors: Implications of demographic and policy differences," CEPIE Working Papers 02/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    5. Badi H. Baltagi & Ying Deng & Xiangjun Ma, 2018. "Network effects on labor contracts of internal migrants in China: a spatial autoregressive model," Empirical Economics, Springer, vol. 55(1), pages 265-296, August.
    6. Felipa de Mello-Sampayo, 2020. "Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    7. Sebastien Bourdin & Sevgi Eda Tuzcu & Esra Satıcı, 2023. "Explaining COVID‐19 vaccine uptake: A spatial sociodemographic study in Turkey," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 307-329, April.
    8. Meilin Möllenkamp & Benedetta Pongiglione & Stefan Rabbe & Aleksandra Torbica & Jonas Schreyögg, 2022. "Spillover effects and other determinants of medical device uptake in the presence of a medical guideline: An analysis of drug‐eluting stents in Germany and Italy," Health Economics, John Wiley & Sons, Ltd., vol. 31(S1), pages 157-178, September.
    9. Matteo Lippi Bruni & Irene Mammi, 2017. "Spatial effects in hospital expenditures: A district level analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 63-77, September.
    10. Bing Hu & Daiyan Peng & Yuedong Zhang & Jiyu Yu, 2020. "Rural Population Aging and the Hospital Utilization in Cities: The Rise of Medical Tourism in China," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    11. Francesco Longo & Luigi Siciliani & Hugh Gravelle & Rita Santos, 2017. "Do hospitals respond to rivals' quality and efficiency? A spatial panel econometric analysis," Health Economics, John Wiley & Sons, Ltd., vol. 26(S2), pages 38-62, September.
    12. Whitney Afonso, 2016. "The Equity of Local Sales Tax Distributions in Urban, Suburban, Rural, and Tourism Rich Counties in North Carolina," Public Finance Review, , vol. 44(6), pages 691-721, November.
    13. Cavalieri, Marina & Di Caro, Paolo & Guccio, Calogero & Lisi, Domenico, 2020. "Does neighbours' grass matter? Testing spatial dependent heterogeneity in technical efficiency of Italian hospitals," Social Science & Medicine, Elsevier, vol. 265(C).
    14. Johannes S. Kunz & Carol Propper & Kevin E. Staub & Rainer Winkelmann, 2023. "Assessing the Quality of Public Services: For-profits, Chains, and Concentration in the Hospital Market," Papers 2023-01, Centre for Health Economics, Monash University.

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    More about this item

    Keywords

    Spatial Lag; Hospital Ownership; Spillover Effects; Panel Data;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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