Michał Kosma Jakubczyk
(Michal Kosma Jakubczyk)

Personal Details

First Name:	Michal
Middle Name:	Kosma
Last Name:	Jakubczyk
Suffix:
RePEc Short-ID:	pja367
	[This author has chosen not to make the email address public]
	http://akson.sgh.waw.pl/~mjakubc

Affiliation

Zakład Wspomagania i Analizy Decyzji
Szkoła Główna Handlowa w Warszawie

Warszawa, Poland
http://www.sgh.waw.pl/instytuty/zwiad/
RePEc:edi:iewawpl (more details at EDIRC)

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

Sorry, no citations of working papers recorded.

Articles

1. Michał Jakubczyk & Bram Roudijk & Stefan A. Lipman & Peep Stalmeier, 2025. "Making Composite Time Trade-Off Sensitive for Worse-than-Dead Health States," PharmacoEconomics, Springer, vol. 43(6), pages 665-675, June.

   Cited by:

   1. Andrea Pogliano & Stefan A. Lipman & Jeffrey Chen & Rosalie Duffhues & Michał Jakubczyk, 2026. "Assessing a dire fate: Standard gamble and time trade-off utilities for states worse than dead," Theory and Decision, Springer, vol. 100(3), pages 721-748, May.
   2. Stefan A. Lipman & Zhirui Guo, 2026. "EQ-5D(-Y) Valuation from Adult and Child Perspectives: Where Does the Empirical Evidence Leave Us and How Should We Proceed?," PharmacoEconomics, Springer, vol. 44(3), pages 267-278, March.

2. Michał Jakubczyk, 2023. "Re-revisiting the Utilities of Health States Worse than Dead: The Problem Remains," Medical Decision Making, , vol. 43(7-8), pages 875-885, October.

   Cited by:

   1. Andrea Pogliano & Stefan A. Lipman & Jeffrey Chen & Rosalie Duffhues & Michał Jakubczyk, 2026. "Assessing a dire fate: Standard gamble and time trade-off utilities for states worse than dead," Theory and Decision, Springer, vol. 100(3), pages 721-748, May.
   2. Ava F. H. Hoogenboom & Stefan A. Lipman, 2025. "Loss aversion in EQ-5D-Y-3L: does it explain differences in willingness to trade-off life years in adults and children?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(8), pages 1369-1381, November.

3. Beata Koń & Michał Jakubczyk, 2023. "Measuring the Indirect Cost of Illness Using EQ-5D-5L While Accounting for Job Characteristics," PharmacoEconomics, Springer, vol. 41(9), pages 1051-1064, September.

   Cited by:

   1. Werner Brouwer & Pieter Baal, 2023. "Moving Forward with Taking a Societal Perspective: A Themed Issue on Productivity Costs, Consumption Costs and Informal Care Costs," PharmacoEconomics, Springer, vol. 41(9), pages 1027-1030, September.

4. Oleksy, Paweł & Czupryna, Marcin & Jakubczyk, Michał, 2021. "On Fine Wine Pricing across Different Trading Venues," Journal of Wine Economics, Cambridge University Press, vol. 16(2), pages 189-209, May.

   Cited by:

   1. Young-Sik Kwak & Yoon-Jung Nam & Jae-Won Hong, 2021. "Effect of Online Collective Intelligence in Wine Industry: Focus on Correlation between Wine Quality Ratings and On-Premise Prices," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
   2. Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2023. "Message in a Bottle: Forecasting wine prices," LIDAM Discussion Papers LFIN 2023004, Université catholique de Louvain, Louvain Finance (LFIN).
      • Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024. "Message in a bottle: Forecasting wine prices," Journal of Wine Economics, Cambridge University Press, vol. 19(1), pages 64-91, February.
   3. Masset, Philippe, 2024. "Market segments and pricing of fine wines over their lifecycle," Economic Modelling, Elsevier, vol. 141(C).

5. Michał Jakubczyk & Dominik Golicki, 2020. "Elicitation and modelling of imprecise utility of health states," Theory and Decision, Springer, vol. 88(1), pages 51-71, February.

   Cited by:

   1. Michał Jakubczyk & Michał Lewandowski, 2024. "How sure are you? — the properties of self-reported conviction in the elicitation of health preferences with discrete choice experiments," Theory and Decision, Springer, vol. 96(3), pages 351-368, May.

6. Koń, Beata & Jakubczyk, Michał, 2019. "Is the literature on the WTP-WTA disparity biased?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).

   Cited by:

   1. Christian A. Vossler & Stéphane Bergeron & Maurice Doyon & Daniel Rondeau, 2020. "Revisiting the Gap Between the Willingness-to-Pay and Willingness-to-Accept for Public Goods," CIRANO Working Papers 2020s-48, CIRANO.
      • Christian A. Vossler & Stéphane Bergeron & Maurice Doyon & Daniel Rondeau, 2023. "Revisiting the Gap between the Willingness to Pay and Willingness to Accept for Public Goods," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(2), pages 413-445.
   2. Ricky N. Lawton & Daniel Fujiwara & Ulrike Hotopp, 2022. "The value of digital archive film history: willingness to pay for film online heritage archival access," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 46(1), pages 165-197, March.

7. Dominik Golicki & Michał Jakubczyk & Katarzyna Graczyk & Maciej Niewada, 2019. "Valuation of EQ-5D-5L Health States in Poland: the First EQ-VT-Based Study in Central and Eastern Europe," PharmacoEconomics, Springer, vol. 37(9), pages 1165-1176, September.

   Cited by:

   1. Sylwia Małysiak-Szpond & Maria Mozga & Ewa Miądlikowska & Joanna Miłkowska-Dymanowska & Adam Jerzy Białas & Wojciech Jerzy Piotrowski, 2022. "Study protocol for connective tissue disease-associated interstitial lung disease trial (TEL-CTD-ILD): A randomized controlled trial of a home-based telemonitoring of treatment effects," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-10, December.
   2. Elena Olariu & Wael Mohammed & Yemi Oluboyede & Raluca Caplescu & Ileana Gabriela Niculescu-Aron & Marian Sorin Paveliu & Luke Vale, 2023. "EQ-5D-5L: a value set for Romania," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 399-412, April.
   3. Chen-Wei Pan & Jun-Yi He & Yan-Bo Zhu & Chun-Hua Zhao & Nan Luo & Pei Wang, 2023. "Comparison of EQ-5D-5L and EORTC QLU-C10D utilities in gastric cancer patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 885-893, August.
   4. Marta Encheva & Slaveyko Djambazov & Toni Vekov & Dominik Golicki, 2020. "EQ-5D-5L Bulgarian population norms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1169-1178, November.
   5. Sullivan, Trudy & Hansen, Paul & Ombler, Franz & Derrett, Sarah & Devlin, Nancy, 2020. "A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’," Social Science & Medicine, Elsevier, vol. 246(C).
   6. Tonya Moen Hansen & Knut Stavem & Kim Rand, 2023. "Completing the time trade-off with respondents who are older, in poorer health or with an immigrant background in an EQ-5D-5L valuation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(6), pages 877-884, August.
   7. Michał Jakubczyk & Michał Lewandowski, 2024. "How sure are you? — the properties of self-reported conviction in the elicitation of health preferences with discrete choice experiments," Theory and Decision, Springer, vol. 96(3), pages 351-368, May.
   8. S. A. Lipman & V. T. Reckers-Droog & M. Karimi & M. Jakubczyk & A. E. Attema, 2021. "Self vs. other, child vs. adult. An experimental comparison of valuation perspectives for valuation of EQ-5D-Y-3L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1507-1518, December.
   9. Michał Jakubczyk, 2023. "What if 0 is not equal to 0? Inter-personal health utilities anchoring using the largest health gains," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1217-1233, September.
   10. Sebastian Szajkowski & Jarosław Pasek & Michał Dwornik & Grzegorz Cieślar, 2022. "The Impact of Coronavirus Infection on Health-Related Quality of Life in Amateur CrossFit Athletes," IJERPH, MDPI, vol. 19(24), pages 1-12, December.
   11. Zhihao Yang & Kim Rand & Elly Stolk & Jan Busschbach & Nan Luo, 2024. "Exploring non-iterative time trade-off methods for valuation of EQ-5D-5L health states," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(7), pages 1087-1094, September.
   12. Kelleher, Dan & Barry, Luke & Hobbins, Anna & O'Neill, Stephen & Doherty, Edel & O'Neill, Ciaran, 2020. "Examining the transnational health preferences of a group of Eastern European migrants relative to a European host population using the EQ-5D-5L," Social Science & Medicine, Elsevier, vol. 246(C).

8. Bogumił Kamiński & Michał Jakubczyk & Przemysław Szufel, 2018. "A framework for sensitivity analysis of decision trees," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 135-159, March.

   Cited by:

   1. Wang, Ruihan & Zhang, Mingyang & Gong, Fuzhong & Wang, Shaohan & Yan, Ran, 2025. "Improving port state control through a transfer learning-enhanced XGBoost model," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
   2. João R. B. Paiva & Alana S. Magalhães & Pedro H. F. Moraes & Júnio S. Bulhões & Wesley P. Calixto, 2021. "Stability Metric Based on Sensitivity Analysis Applied to Electrical Repowering System," Energies, MDPI, vol. 14(22), pages 1-21, November.
   3. Fabrizio De Caro & Amedeo Andreotti & Rodolfo Araneo & Massimo Panella & Antonello Rosato & Alfredo Vaccaro & Domenico Villacci, 2020. "A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data," Energies, MDPI, vol. 13(24), pages 1-25, December.
   4. Deac Dan Stelian & Schebesch Klaus Bruno, 2018. "Market Forecasts and Client Behavioral Data: Towards Finding Adequate Model Complexity," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Paradigm, vol. 28(3), pages 50-75, September.
   5. Ayhan Doğan & Murat Başeğmez & Cevdet Coşkun Aydın, 2025. "Assessment of the seismic vulnerability in an urban area with the integration of machine learning methods and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(8), pages 9613-9652, May.
   6. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
   7. Dongfen Li & Yundan Zheng & Xiaofang Liu & Jie Zhou & Yuqiao Tan & Xiaolong Yang & Mingzhe Liu, 2022. "Hierarchical Quantum Information Splitting of an Arbitrary Two-Qubit State Based on a Decision Tree," Mathematics, MDPI, vol. 10(23), pages 1-18, December.
   8. Tymoteusz Miller & Grzegorz Mikiciuk & Anna Kisiel & Małgorzata Mikiciuk & Dominika Paliwoda & Lidia Sas-Paszt & Danuta Cembrowska-Lech & Adrianna Krzemińska & Agnieszka Kozioł & Adam Brysiewicz, 2023. "Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture," Agriculture, MDPI, vol. 13(8), pages 1-16, August.
   9. Ivan Miguel Pires & Faisal Hussain & Nuno M. Garcia & Petre Lameski & Eftim Zdravevski, 2020. "Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification," Future Internet, MDPI, vol. 12(11), pages 1-14, November.
   10. Kamyab Karimi & Ali Ghodratnama & Reza Tavakkoli-Moghaddam, 2023. "Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis," Annals of Operations Research, Springer, vol. 328(1), pages 665-700, September.
   11. Jorge Omar Razo-De-Anda & Luis Lorenzo Romero-Castro & Francisco Venegas-Martínez, 2023. "Contagion Patterns Classification in Stock Indices: A Functional Clustering Analysis Using Decision Trees," Mathematics, MDPI, vol. 11(13), pages 1-27, July.
   12. Jana Gerlach & Paul Hoppe & Sarah Jagels & Luisa Licker & Michael H. Breitner, 2022. "Decision support for efficient XAI services - A morphological analysis, business model archetypes, and a decision tree," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2139-2158, December.
   13. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
   14. Abdul Majeed, 2019. "Improving Time Complexity and Accuracy of the Machine Learning Algorithms Through Selection of Highly Weighted Top k Features from Complex Datasets," Annals of Data Science, Springer, vol. 6(4), pages 599-621, December.
   15. Dimitar Haralampiev Popov, 2022. "SME Viability Assessment Methodology: Combining Altman's Z-Score with Big Data," Bulgarian Economic Papers bep-2022-04, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski, revised Jun 2022.
   16. Michelle Sapitang & Wanie M. Ridwan & Khairul Faizal Kushiar & Ali Najah Ahmed & Ahmed El-Shafie, 2020. "Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
   17. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

9. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.

   Cited by:

   1. Michał Jakubczyk & Dominik Golicki, 2020. "Elicitation and modelling of imprecise utility of health states," Theory and Decision, Springer, vol. 88(1), pages 51-71, February.
   2. Mohd Hilmi Hasan & Jafreezal Jaafar & Junzo Watada & Mohd Fadzil Hassan & Izzatdin Abdul Aziz, 2021. "An interval type-2 fuzzy model of compliance monitoring for quality of web service," Annals of Operations Research, Springer, vol. 300(2), pages 415-441, May.
   3. Sabine E. Grimm & Xavier Pouwels & Bram L. T. Ramaekers & Ben Wijnen & Thomas Otten & Janneke Grutters & Manuela A. Joore, 2021. "State of the ART? Two New Tools for Risk Communication in Health Technology Assessments," PharmacoEconomics, Springer, vol. 39(10), pages 1185-1196, October.
   4. Jose M. Gonzalez-Cava & José Antonio Reboso & José Luis Casteleiro-Roca & José Luis Calvo-Rolle & Juan Albino Méndez Pérez, 2018. "A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine," Complexity, Hindawi, vol. 2018, pages 1-15, February.

10. Michał Jakubczyk & Bogumił Kamiński, 2010. "Cost‐effectiveness acceptability curves – caveats quantified," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 955-963, August.

    Cited by:

    1. Michał Jakubczyk & Bogumił Kamiński, 2017. "Fuzzy approach to decision analysis with multiple criteria and uncertainty in health technology assessment," Annals of Operations Research, Springer, vol. 251(1), pages 301-324, April.
    2. Klemen Naveršnik, 2015. "Output correlations in probabilistic models with multiple alternatives," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 133-139, March.
    3. Ernst, Richard, 2017. "Theories of Health Care Cost-Effectiveness Analysis," SocArXiv gjbcp, Center for Open Science.
    4. Maiwenn Al, 2013. "Cost-Effectiveness Acceptability Curves Revisited," PharmacoEconomics, Springer, vol. 31(2), pages 93-100, February.
    5. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & Negrín, M.A., 2012. "Optimal healthcare decisions: The importance of the covariates in cost–effectiveness analysis," European Journal of Operational Research, Elsevier, vol. 218(2), pages 512-522.
    6. Dirk Müller & Eleanor Pullenayegum & Afschin Gandjour, 2015. "Impact of small study bias on cost-effectiveness acceptability curves and value of information analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 219-223, March.

11. Michał Jakubczyk, 2009. "Impact of Complementarity and Heterogeneity on Health Related Utility of Life," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(2), pages 139-156, November.

    Cited by:

    1. Alhanouf Alabbad & Madeleine Cochrane & Paul Mark Mitchell, 2025. "Preferences for health-related quality of life: do they vary by age? A systematic literature review on the EQ-5D measure," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(7), pages 1275-1291, September.

More information

Research fields, statistics, top rankings, if available.

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 4 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) 2016-04-30 2016-04-30 2016-06-25
2. NEP-UPT: Utility Models and Prospect Theory (2) 2016-04-30 2016-07-02
3. NEP-ECM: Econometrics (1) 2016-06-25
4. NEP-EFF: Efficiency and Productivity (1) 2016-04-30
5. NEP-NET: Network Economics (1) 2016-06-25
6. NEP-NEU: Neuroeconomics (1) 2016-07-02

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