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James Lomas

Personal Details

First Name:James
Middle Name:
Last Name:Lomas
Suffix:
RePEc Short-ID:plo351
[This author has chosen not to make the email address public]
http://www.york.ac.uk/che/staff/students/james-lomas/
Terminal Degree:2015 Department of Economics and Related Studies; University of York (from RePEc Genealogy)

Affiliation

(50%) Centre for Health Economics
Department of Economics and Related Studies
University of York

York, United Kingdom
https://www.york.ac.uk/che/
RePEc:edi:chyoruk (more details at EDIRC)

(50%) Department of Economics and Related Studies
University of York

York, United Kingdom
http://www.york.ac.uk/economics/
RePEc:edi:deyoruk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Jessica Ochalek & James Lomas & Karl Claxton, 2015. "Cost per DALY averted thresholds for low- and middle-income countries: evidence from cross country data," Working Papers 122cherp, Centre for Health Economics, University of York.
  2. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
  3. Jones, A. M. & Lomas, J. & Moore, P. & Rice, N., 2013. "A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy tailed and non-normal data: with an application to healthcare costs," Health, Econometrics and Data Group (HEDG) Working Papers 13/30, HEDG, c/o Department of Economics, University of York.
  4. Jones, A & Lomas, J & Rice, N, 2011. "Applying Beta-type Size Distributions to Healthcare Cost Regressions," Health, Econometrics and Data Group (HEDG) Working Papers 11/31, HEDG, c/o Department of Economics, University of York.

Articles

  1. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
  2. Andrew M. Jones & James Lomas & Nigel Rice, 2014. "Applying Beta‐Type Size Distributions To Healthcare Cost Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 649-670, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Jessica Ochalek & James Lomas & Karl Claxton, 2015. "Cost per DALY averted thresholds for low- and middle-income countries: evidence from cross country data," Working Papers 122cherp, Centre for Health Economics, University of York.

    Cited by:

    1. Ryota Nakamura & James Lomas & Karl Claxton & Farasat Bokhari & Rodrigo Moreno Serra & Marc Suhrcke, 2016. "Assessing the impact of health care expenditures on mortality using cross-country data," Working Papers 128cherp, Centre for Health Economics, University of York.
    2. Niek Stadhouders & Xander Koolman & Christel van Dijk & Patrick Jeurissen & Eddy Adang, 2019. "The marginal benefits of healthcare spending in the Netherlands: Estimating cost‐effectiveness thresholds using a translog production function," Health Economics, John Wiley & Sons, Ltd., vol. 28(11), pages 1331-1344, November.
    3. James Lomas & Stephen Martin & Karl Claxton, 2018. "Estimating the marginal productivity of the English National Health Service from 2003/04 to 2012/13," Working Papers 158cherp, Centre for Health Economics, University of York.
    4. Aidan Hollis, 2016. "Sustainable Financing of Innovative Therapies: A Review of Approaches," PharmacoEconomics, Springer, vol. 34(10), pages 971-980, October.
    5. Devine, Angela, 2018. "The Economics of Vivax Malaria Treatment," Thesis Commons zsc6x, Center for Open Science.
    6. Angela Devine & Minnie Parmiter & Cindy S Chu & Germana Bancone & François Nosten & Ric N Price & Yoel Lubell & Shunmay Yeung, 2017. "Using G6PD tests to enable the safe treatment of Plasmodium vivax infections with primaquine on the Thailand-Myanmar border: A cost-effectiveness analysis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 11(5), pages 1-19, May.
    7. Claxton, Karl & Asaria, Miqdad & Chansa, Collins & Jamison, Julian & Lomas, James & Ochalek, Jessica & Paulden, Mike, 2019. "Accounting for Timing when Assessing Health-Related Policies," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 10(S1), pages 73-105, April.
    8. Hiral Anil Shah & Tim Baker & Carl Otto Schell & August Kuwawenaruwa & Khamis Awadh & Karima Khalid & Angela Kairu & Vincent Were & Edwine Barasa & Peter Baker & Lorna Guinness, 2023. "Cost Effectiveness of Strategies for Caring for Critically Ill Patients with COVID-19 in Tanzania," PharmacoEconomics - Open, Springer, vol. 7(4), pages 537-552, July.
    9. Susan Horton & Hellen Gelband & Dean Jamison & Carol Levin & Rachel Nugent & David Watkins, 2017. "Ranking 93 health interventions for low- and middle-income countries by cost-effectiveness," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-12, August.
    10. Jessica Ochalek & Karl Claxton & Paul Revill & Mark Sculpher & Alexandra Rollinger, 2016. "Supporting the development of an essential health package: principles and initial assessment for Malawi," Working Papers 136cherp, Centre for Health Economics, University of York.
    11. Peter J. Neumann & David D. Kim & Thomas A. Trikalinos & Mark J. Sculpher & Joshua A. Salomon & Lisa A. Prosser & Douglas K. Owens & David O. Meltzer & Karen M. Kuntz & Murray Krahn & David Feeny & An, 2018. "Future Directions for Cost-effectiveness Analyses in Health and Medicine," Medical Decision Making, , vol. 38(7), pages 767-777, October.
    12. Tom L. Drake & Yoel Lubell, 2017. "Malaria and Economic Evaluation Methods: Challenges and Opportunities," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 291-297, June.

  2. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Carrieri, V. & Jones, A.M., 2015. "The Income-Health Relationship “Beyond the Mean†: New Evidence from Biomarkers," Health, Econometrics and Data Group (HEDG) Working Papers 15/22, HEDG, c/o Department of Economics, University of York.
    2. Vincenzo Carrieri & Andrew M. Jones, 2017. "The Income–Health Relationship ‘Beyond the Mean’: New Evidence from Biomarkers," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 937-956, July.

  3. Jones, A. M. & Lomas, J. & Moore, P. & Rice, N., 2013. "A quasi-Monte Carlo comparison of developments in parametric and semi-parametric regression methods for heavy tailed and non-normal data: with an application to healthcare costs," Health, Econometrics and Data Group (HEDG) Working Papers 13/30, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Anika Reichert & Rowena Jacobs, 2018. "The impact of waiting time on patient outcomes: Evidence from early intervention in psychosis services in England," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1772-1787, November.
    2. Daisuke Goto & Ya-Chen Tina Shih & Pascal Lecomte & Melvin Olson & Chukwukadibia Udeze & Yujin Park & C. Daniel Mullins, 2017. "Regression-Based Approaches to Patient-Centered Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 35(7), pages 685-695, July.
    3. Besstremyannaya, Galina, 2017. "Measuring income equity in the demand for healthcare with finite mixture models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 46, pages 5-29.
    4. Galina Besstremyannaya, 2014. "Heterogeneous effect of coinsurance rate on healthcare costs: generalized finite mixtures and matching estimators," Discussion Papers 14-014, Stanford Institute for Economic Policy Research.
    5. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    6. Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.
    7. Paolo Berta & Salvatore Ingrassia & Antonio Punzo & Giorgio Vittadini, 2016. "Multilevel cluster-weighted models for the evaluation of hospitals," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 275-292, December.
    8. Matthew Franklin & James Lomas & Simon Walker & Tracey Young, 2019. "An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 37(5), pages 631-643, May.
    9. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    10. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    11. Michaela Benzeval & Meena Kumari & Andrew M. Jones, 2016. "How Do Biomarkers and Genetics Contribute to Understanding Society?," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1219-1222, October.
    12. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
    13. Piotr Swierkowski & Adrian Barnett, 2018. "Identification of hospital cost drivers using sparse group lasso," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    14. Yi Yao & Joan Schmit & Julie Shi, 2019. "Promoting sustainability for micro health insurance: a risk-adjusted subsidy approach for maternal healthcare service," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 382-409, July.

  4. Jones, A & Lomas, J & Rice, N, 2011. "Applying Beta-type Size Distributions to Healthcare Cost Regressions," Health, Econometrics and Data Group (HEDG) Working Papers 11/31, HEDG, c/o Department of Economics, University of York.

    Cited by:

    1. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    2. Peter Zweifel, 2012. "The Grossman model after 40 years," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(6), pages 677-682, December.
    3. Joel Smith & Helen Banks & Harry Campbell & Anne Douglas & Eilidh Fletcher & Alison McCallum & Tron Anders Moger & Mikko Peltola & Sofia Sveréus & Sarah Wild & Linda J. Williams & John Forbes & on beh, 2015. "Parameter Heterogeneity In Breast Cancer Cost Regressions – Evidence From Five European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 23-37, December.
    4. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    5. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D.S. Prasada Rao, 2018. "Using the GB2 Income Distribution: A Review," Department of Economics - Working Papers Series 2036, The University of Melbourne.
    6. Julie Shi & Yi Yao & Gordon Liu, 2018. "Modeling individual health care expenditures in China: Evidence to assist payment reform in public insurance," Health Economics, John Wiley & Sons, Ltd., vol. 27(12), pages 1945-1962, December.
    7. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    8. Tor Iversen & Eline Aas & Gunnar Rosenqvist & Unto Häkkinen & on behalf of the EuroHOPE study group, 2015. "Comparative Analysis of Treatment Costs in EUROHOPE," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 5-22, December.
    9. Erengul Dodd & George Streftaris, 2017. "Prediction of settlement delay in critical illness insurance claims by using the generalized beta of the second kind distribution," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(2), pages 273-294, February.
    10. Ariston Karagiorgis & Antonis Ballis & Konstantinos Drakos, 2024. "The Skewness‐Kurtosis plane for cryptocurrencies' universe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2543-2555, April.
    11. Karagiorgis, Ariston & Drakos, Konstantinos, 2022. "The Skewness-Kurtosis plane for non-Gaussian systems: The case of hedge fund returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    12. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    13. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    14. Karlsson, Martin & Wang, Yulong & Ziebarth, Nicolas R., 2023. "Getting the Right Tail Right: Modeling tails of health expenditure distributions," ZEW Discussion Papers 23-045, ZEW - Leibniz Centre for European Economic Research.
    15. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    16. Apostolos Davillas & Andrew M. Jones, 2018. "Parametric models for biomarkers based on flexible size distributions," Health Economics, John Wiley & Sons, Ltd., vol. 27(10), pages 1617-1624, October.
    17. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
    18. Piotr Swierkowski & Adrian Barnett, 2018. "Identification of hospital cost drivers using sparse group lasso," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    19. Yi Yao & Joan Schmit & Julie Shi, 2019. "Promoting sustainability for micro health insurance: a risk-adjusted subsidy approach for maternal healthcare service," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 382-409, July.
    20. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.

Articles

  1. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.

    Cited by:

    1. Kolodziej, Ingo W.K. & García-Gómez, Pilar, 2019. "Saved by retirement: Beyond the mean effect on mental health," Social Science & Medicine, Elsevier, vol. 225(C), pages 85-97.
    2. Longden, Thomas & Wong, Chun Yee & Haywood, Philip & Hall, Jane & van Gool, Kees, 2018. "The prevalence of persistence and related health status: An analysis of persistently high healthcare costs in the short term and medium term," Social Science & Medicine, Elsevier, vol. 211(C), pages 147-156.
    3. Vincenzo Carrieri & Francesco Principe & Michele Raitano, 2018. "What makes you ‘super-rich’? New evidence from an analysis of football players’ wages," Oxford Economic Papers, Oxford University Press, vol. 70(4), pages 950-973.
    4. L. Vanessa Smith & Nori Tarui & Takashi Yamagata, 2020. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Discussion Papers 20/07, Department of Economics, University of York.
    5. Kolodziej, Ingo W.K. & García-Gómez, Pilar, 2017. "The causal effects of retirement on mental health: Looking beyond the mean effects," Ruhr Economic Papers 668, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Thomas Longden, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," Working Papers 2016.49, Fondazione Eni Enrico Mattei.
    7. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    8. Michael Stucki, 2021. "Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 195-221, March.
    9. Karine Moschetti & Katia Iglesias & Stéphanie Baggio & Venetia Velonaki & Olivier Hugli & Bernard Burnand & Jean-Bernard Daeppen & Jean-Blaise Wasserfallen & Patrick Bodenmann, 2018. "Health care costs of case management for frequent users of the emergency department: Hospital and insurance perspectives," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    10. Sungchul Park & Anirban Basu, 2018. "Alternative evaluation metrics for risk adjustment methods," Health Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 984-1010, June.
    11. Luyan Jiang & Qianqian Qiu & Lin Zhu & Zhonghua Wang, 2022. "Identifying Characteristics Associated with the Concentration and Persistence of Medical Expenses among Middle-Aged and Elderly Adults: Findings from the China Health and Retirement Longitudinal Surve," IJERPH, MDPI, vol. 19(19), pages 1-18, October.
    12. Adam Maidman & Lan Wang, 2018. "New semiparametric method for predicting high‐cost patients," Biometrics, The International Biometric Society, vol. 74(3), pages 1104-1111, September.
    13. Tuukka Holster & Shaoxiong Ji & Pekka Marttinen, 2024. "Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(7), pages 1117-1131, September.
    14. Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    15. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    16. Tor Iversen & Eline Aas & Gunnar Rosenqvist & Unto Häkkinen & on behalf of the EuroHOPE study group, 2015. "Comparative Analysis of Treatment Costs in EUROHOPE," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 5-22, December.
    17. Matthew Franklin & James Lomas & Simon Walker & Tracey Young, 2019. "An Educational Review About Using Cost Data for the Purpose of Cost-Effectiveness Analysis," PharmacoEconomics, Springer, vol. 37(5), pages 631-643, May.
    18. Lorenz Gschwent & Bjorn Hammarfelt & Martin Karlsson & Mathias Kifmann, 2024. "The Rise of Health Economics: Transforming the Landscape of Economic Research," Papers 2410.06313, arXiv.org.
    19. Yoshiaki Nomura & Yoshimasa Ishii & Yota Chiba & Shunsuke Suzuki & Akira Suzuki & Senichi Suzuki & Kenji Morita & Joji Tanabe & Koji Yamakawa & Yasuo Ishiwata & Meu Ishikawa & Kaoru Sogabe & Erika Kak, 2021. "Does Last Year’s Cost Predict the Present Cost? An Application of Machine Leaning for the Japanese Area-Basis Public Health Insurance Database," IJERPH, MDPI, vol. 18(2), pages 1-11, January.
    20. Ariston Karagiorgis & Antonis Ballis & Konstantinos Drakos, 2024. "The Skewness‐Kurtosis plane for cryptocurrencies' universe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2543-2555, April.
    21. Langevin, R.;, 2024. "Consistent Estimation of Finite Mixtures: An Application to Latent Group Panel Structures," Health, Econometrics and Data Group (HEDG) Working Papers 24/16, HEDG, c/o Department of Economics, University of York.
    22. Karagiorgis, Ariston & Drakos, Konstantinos, 2022. "The Skewness-Kurtosis plane for non-Gaussian systems: The case of hedge fund returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    23. Carrieri, Vincenzo & Principe, Francesco & Raitano, Michele, 2017. "What makes you "super-rich"? New evidence from an analysis of football players' earnings," Ruhr Economic Papers 681, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    24. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    25. Qing Li & Alain A. Cohen & Linda P. Fried, 2017. "A novel health metric based on biomarkers," Cahiers de recherche 17-08, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    26. Michaela Benzeval & Meena Kumari & Andrew M. Jones, 2016. "How Do Biomarkers and Genetics Contribute to Understanding Society?," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1219-1222, October.
    27. Adam Goliński & Peter Spencer, 2021. "Modeling the Covid‐19 epidemic using time series econometrics," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2808-2828, November.
    28. Klaus Kaier & Silvia Hils & Stefan Fetzer & Philip Hehn & Anja Schmid & Dieter Hauschke & Lioudmila Bogatyreva & Bernd Jänigen & Przemyslaw Pisarski, 2017. "Results of a randomized controlled trial analyzing telemedically supported case management in the first year after living donor kidney transplantation - a budget impact analysis from the healthcare pe," Health Economics Review, Springer, vol. 7(1), pages 1-8, December.
    29. Barschkett, M.; & Bosque-Mercader, L.;, 2024. "Building Health across Generations: Childbirth, Childcare and Maternal Health," Health, Econometrics and Data Group (HEDG) Working Papers 24/08, HEDG, c/o Department of Economics, University of York.

  2. Andrew M. Jones & James Lomas & Nigel Rice, 2014. "Applying Beta‐Type Size Distributions To Healthcare Cost Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(4), pages 649-670, June.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HEA: Health Economics (3) 2012-01-03 2014-10-03 2015-12-28
  2. NEP-ECM: Econometrics (2) 2012-01-03 2014-10-03
  3. NEP-ORE: Operations Research (1) 2014-10-03

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