(2013). Does the U.S. health care sector suffer from Baumol's cost disease? Evidence from the 50 states. Journal of Health Economics, 32(2), 386-391. doi: http://dx.doi.org/10.1016/j.jhealeco.2012.12.003 Bates, L. J., & Santerre, R. E. (2013). Does the U.S. health care sector suffer from Baumol's cost disease? Evidence from the 50 states. Journal of Health Economics, 32(2), 386391. doi: http://dx.doi.org/10.1016/j.jhealeco.2012.12.003 Baumol, W. J. (1967). Macroeconomics of unbalanced growth: the anatomy of urban crisis. The American Economic Review, 415-426.
Baltagi, B. H., & Moscone, F. (2010). Health care expenditure and income in the OECD reconsidered: Evidence from panel data. Economic Modelling, 27(4), 804-811.
Baltagi, B. H., Moscone, F., & Tosetti, E. (2012). Medical technology and the production of health care. Empirical Economics, 42(2), 395-411.Bates, L. J., & Santerre, R. E.
Baumol, W. J. (1993). Health care, education and the cost disease: a looming crisis for public choice The next twenty-five years of public choice (pp. 17-28): Springer.
- Baumol, W. J., & Bowen, W. G. (1965). On the performing arts: the anatomy of their economic problems. The American Economic Review, 495-502.Colombier, C. (2012).
Paper not yet in RePEc: Add citation now
Chudik, A., & Pesaran, M. H. (2013). Large panel data models with cross-sectional dependence: a survey: CESifo Working Paper.
Colombier, C. (2012). Drivers of health care expenditure: Does Baumol's cost disease loom large? : FiFo Discussion Papers, No. 12-5.
Costaâ€Font, J., Gemmill, M., & Rubert, G. (2011). Biases in the healthcare luxury good hypothesis?: a metaâ€regression analysis. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174(1), 95-107.
Drivers of health care expenditure: Does Baumol's cost disease loom large? : FiFo Discussion Papers, No. 12-5. doi: http://dx.doi.org/10.2139/ssrn.2341054 Beck, N. & Katz, J.N. (1995) What to do (and not to do) with time-series cross-section data. American Political Science Review, Vol. 89, No. 3, pp. 634-647.
Drukker, D.M. (2003) Testing for serial correlation in linear panel-data models. Stata Journal, Vol, 3, No. 2, pp. 168-177.
Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production, Economics Series Working Papers 515, University of Oxford, Department of Economics.
Gerdtham, U.-G., & Jönsson, B. (2000). International comparisons of health expenditure: theory, data and econometric analysis. Handbook of health economics, 1, 1153.
- Hartwig, J. (2008a). Has Health Capital Formation Cured Baumol's Disease'? Panel Granger Causality Evidence for OECD Countries: KOF working papers. //Konjunkturforschungsstelle, Eidgenössische Technische Hochschule Zürich, No. 206, http://dx.doi.org/10.3929/ethz-a-005666787.
Paper not yet in RePEc: Add citation now
- Hartwig, J. (2008a). Has Health Capital Formation Cured Baumol's Disease'? Panel Granger Causality Evidence for OECD Countries: KOF working papers. //Konjunkturforschungsstelle, Eidgenössische Technische Hochschule Zürich, No. 206, http://dx.doi.org/10.3929/ethz-a-005666787.
Paper not yet in RePEc: Add citation now
Hartwig, J. (2008b). What drives health care expenditure? Baumol's model of ‘unbalanced growth’revisited. Journal of Health Economics, 27(3), 603-623.
Hartwig, J. (2011). Can Baumol's model of unbalanced growth contribute to explaining the secular rise in health care expenditure? An alternative test. Applied Economics, 43(2), 173-184.
Martins, J.O., & De la Maisonneuve, C. (2006). The Drivers of Public Expenditure on Health and Long-Term Care: An Integrated Approach. OECD Economic Studies, 2006(2), 115-154..
Murthy, V. N., & Okunade, A. A. (2009). The core determinants of health expenditure in the African context: Some econometric evidence for policy. Health policy, 91(1), 57-62.
Nixon, J., & Ulmann, P. (2006). The relationship between health care expenditure and health outcomes: evidence and caveats for a causal link. The European Journal of Health Economics, 7(1), 7-18. doi: 10.1007/s10198-005-0336-8 OECD. (2015). OECD Health Statistics 2014 at a Glance. Retrieved from http://www.oecd.org/els/health-systems/health-data.htm Pesaran, M.H. & Smith, R.P. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, Vol. 68(1): pp.79-113.
Pesaran, M.H. (2004) General diagnostic tests for cross section dependence in panels. Cambridge Working Papers in Economics, 0435, University of Cambridge.
Pesaran, M.H. (2006). Estimation and inference in large heterogeneous panels with a multifactor error structure. Econometrica, Vol. 74(4): pp.967-1012.
Prieto, D. C., & Lago-Peñas, S. (2012). Decomposing the determinants of health care expenditure: the case of Spain. The European Journal of Health Economics, 13(1), 19-27.
Reed, W. R., & Ye, H. (2011). Which panel data estimator should I use? Applied Economics, 43(8), 985-1000.
Sarafidis, V., & Wansbeek, T. (2012). Cross-sectional dependence in panel data analysis. Econometric Reviews, 31(5), 483-531.
Sarafidis, V., Yamagata, T., & Robertson, D. (2009). A test of cross section dependence for a linear dynamic panel model with regressors. Journal of econometrics, 148(2), 149161.
- Towse, R. (1997). Baumol's cost disease: the arts and other victims: Edward Elgar Publishing Ltd.
Paper not yet in RePEc: Add citation now
- Wooldridge, J. M. 2002. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
Paper not yet in RePEc: Add citation now