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  1. 2021
  2. Publicly funded hospital care: expenditure growth and its determinants

    Rice, N. & Aragon Aragon, M. J. M., Jan 2021, York, UK: Centre for Health Economics, University of York, 32 p. (CHE Research Paper; no. 177).

    Research output: Working paperDiscussion paper

  3. 2020
  4. Perfect Withdrawal in a Noisy World: Investing Lessons with and without Annuities while in Drawdown between 2000 and 2019

    Clare, A., Seaton, J., Smith, P. N. & Thomas, S., 9 Dec 2020, (SSRN).

    Research output: Working paperDiscussion paper

  5. Sibling Conflict during COVID-19 in Families with Special Educational Needs and Disabilities

    Toseeb, U., 27 Nov 2020, 13 p. (PsyArXiv Preprints).

    Research output: Working paper

  6. Does Health Technology Assessment guidance give adequate consideration to decisions about less costly and less effective alternatives?

    Griffin, S., Fusco, F., Naidoo, B., Taylor, M. & Walker, S. M., 4 Nov 2020, York, UK: Centre for Health Economics, University of York, 19 p. (CHE Research Paper; no. 175).

    Research output: Working paper

  7. The relationship between social care resources and healthcare utilisation by older people in England: an exploratory investigation

    Pace, M. L., Liu, D., Goddard, M. K., Jacobs, R., Wittenberg, R., McGonigal, G. & Mason, A. R., 4 Nov 2020, York, UK: Centre for Health Economics, University of York, 37 p. (CHE Research Paper; no. 174).

    Research output: Working paper

  8. Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks

    Wang, Y., Xu, Z., Bai, L., Wan, Y., Cui, L., Zhao, Q., Hancock, E. R. & Yu, P. S., 13 Oct 2020, 8 p. (arXiv).

    Research output: Working paper

  9. Analysis of Systematic Risk around Firm-specific News in an Emerging Market using High Frequency Data

    Saleem, S., Smith, P. N. & Yalaman, A., 8 Oct 2020, Department of Economics and Related Studies, University of York.

    Research output: Working paperDiscussion paper

  10. Who benefits from health insurance? Uncovering heterogeneous policy impacts using causal machine learning.

    Kreif, N., Mirelman, A., Moreno Serra, R., Hidayat, T., DiazOrdaz, K. & Suhrcke, M., 6 Oct 2020, York, UK: Centre for Health Economics, University of York, 39 p. (CHE Research Paper; no. 173).

    Research output: Working paper

  11. Learning Safe Neural Network Controllers with Barrier Certificates

    Zhao, H., Zeng, X., Chen, T., Liu, Z. & Woodcock, J., 18 Sep 2020, (CoRR).

    Research output: Working paper

  12. Securing Africa’s health sovereignty: why investing in science and innovation matters

    Mugabe, J. O., Kulohoma, B. K., Matoke-Muhia, D., Ubalijoro, E., Fagbamigbe, F. A., Mwaura, G., Gitaka, J., Thorn, J. P. R., Badu, K., Muchie, M., Dukhi, N., Ndung’u, T., Muposhi, V. K., Bouhaouala-Zahar, B. & Sogbanmu, T., 12 Aug 2020, Nairobi, Kenya: African Academy of Sciences.

    Research output: Working paper

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