A spatiotemporal analysis of public pharmaceutical expenditure
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DOI: 10.1007/s00168-008-0259-2
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Citations
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Cited by:
- Angulo, Ana María & Barberán, Ramón & Egea, Pilar & Mur, Jesús, 2011.
"An analysis of health expenditure on a microdata population basis,"
Economic Modelling, Elsevier, vol. 28(1-2), pages 169-180, January.
- Angulo, Ana María & Barberán, Ramón & Egea, Pilar & Mur, Jesús, 2011. "An analysis of health expenditure on a microdata population basis," Economic Modelling, Elsevier, vol. 28(1), pages 169-180.
- Eibich, Peter & Ziebarth, Nicolas, 2014.
"Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
- Eibich, Peter & Ziebarth, Nicolas R., 2014. "Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 305-320.
- Peter Eibich & Nicolas R. Ziebarth, 2013. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," SOEPpapers on Multidisciplinary Panel Data Research 620, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Fernando López & Jesús Mur & Ana Angulo, 2014. "Spatial model selection strategies in a SUR framework. The case of regional productivity in EU," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 197-220, August.
- Fernando A. López & Román Mínguez & Jesús Mur, 2020. "ML versus IV estimates of spatial SUR models: evidence from the case of Airbnb in Madrid urban area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 313-347, April.
- Ana Angulo & Fernando Lopèz & Jèsus Mur, 2011. "Seemingly Unrelated Regressions with Spatial Effects. An Application to the Case of the European Regional Employment," ERSA conference papers ersa10p487, European Regional Science Association.
- Peter Eibich & Nicolas R. Ziebarth, 2013.
"Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models,"
SOEPpapers on Multidisciplinary Panel Data Research
620, DIW Berlin, The German Socio-Economic Panel (SOEP).
- Eibich, Peter & Ziebarth, Nicolas, 2013. "Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79844, Verein für Socialpolitik / German Economic Association.
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More about this item
Keywords
I11; L65; R15; C21; C23;All these keywords.
JEL classification:
- I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
- L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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