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Joachim Marti

Personal Details

First Name:Joachim
Middle Name:
Last Name:Marti
Suffix:
RePEc Short-ID:pma1379
[This author has chosen not to make the email address public]
http://www.joachim-marti.com

Affiliation

Academic Unit of Health Economics
Leeds Institute of Health Sciences
University of Leeds

Leeds, United Kingdom
https://medicinehealth.leeds.ac.uk/health-economics
RePEc:edi:heleeuk (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.
  2. Marti, Joachim, 2012. "A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking," Social Science & Medicine, Elsevier, vol. 75(1), pages 87-97.

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.

Articles

  1. Joachim Marti, 2012. "Assessing preferences for improved smoking cessation medications: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 533-548, October.

    Cited by:

    1. Mark Harrison & Dan Rigby & Caroline Vass & Terry Flynn & Jordan Louviere & Katherine Payne, 2014. "Risk as an Attribute in Discrete Choice Experiments: A Systematic Review of the Literature," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 7(2), pages 151-170, June.
    2. Johanna Catherine Maclean & Michael F. Pesko & Steven C. Hill, 2017. "The Effect of Insurance Expansions on Smoking Cessation Medication Prescriptions: Evidence from ACA Medicaid Expansions," NBER Working Papers 23450, National Bureau of Economic Research, Inc.
    3. Joachim Marti & Jody Sindelar, 2015. "Smaller Cigarette Pack as a Commitment to Smoke Less? Insights from Behavioral Economics," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-14, September.
    4. Michael R. Richards & Joachim Marti & Johanna Catherine Maclean & Jason Fletcher & Donald Kenkel, 2017. "Tobacco Control, Medicaid Coverage, and the Demand for Smoking Cessation Drugs," American Journal of Health Economics, MIT Press, vol. 3(4), pages 528-549, Fall.
    5. Marti, Joachim & Buckell, John & Maclean, J. Catherine & Sindelar, Jody L., 2017. "To 'Vape' or Smoke? A Discrete Choice Experiment among Adult Smokers," IZA Discussion Papers 10490, Institute of Labor Economics (IZA).
    6. I. Aumann & M. Treskova & N. Hagemann & J.-M. Schulenburg, 2016. "Analysis of Driving Factors of Willingness to Use and Willingness to Pay for Existing Pharmacological Smoking Cessation Aids Among Young and Middle-Aged Adults in Germany," Applied Health Economics and Health Policy, Springer, vol. 14(4), pages 441-452, August.
    7. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    8. Joachim Marti & John Buckell & Johanna Catherine Maclean & Jody Sindelar, 2019. "To “Vape” Or Smoke? Experimental Evidence On Adult Smokers," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 705-725, January.

  2. Marti, Joachim, 2012. "A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking," Social Science & Medicine, Elsevier, vol. 75(1), pages 87-97.

    Cited by:

    1. Axel Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Johnson, 2015. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    2. Seda Erdem & Danny Campbell, 2017. "Preferences for public involvement in health service decisions: a comparison between best-worst scaling and trio-wise stated preference elicitation techniques," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1107-1123, December.
    3. Oreoluwa Ola & Luisa Menapace, 2020. "Revisiting constraints to smallholder participation in high‐value markets: A best‐worst scaling approach," Agricultural Economics, International Association of Agricultural Economists, vol. 51(4), pages 595-608, July.
    4. Richard Abreu Lourenco & Marion Haas & Jane Hall & Rosalie Viney, 2017. "Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence," PharmacoEconomics, Springer, vol. 35(3), pages 347-362, March.
    5. Yoo, Hong Il & Doiron, Denise, 2013. "The use of alternative preference elicitation methods in complex discrete choice experiments," Journal of Health Economics, Elsevier, vol. 32(6), pages 1166-1179.
    6. David A. Katz & Kenda R. Stewart & Monica Paez & Mark W. Weg & Kathleen M. Grant & Christine Hamlin & Gary Gaeth, 2018. "Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans’ Preferences for Tobacco Treatment in Primary Care," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(6), pages 649-663, December.
    7. Axel C. Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Reed Johnson, 2016. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    8. Qingmeng Tong & Lu Zhang & Junbiao Zhang, 2017. "Evaluation of GHG Mitigation Measures in Rice Cropping and Effects of Farmer’s Characteristics: Evidence from Hubei, China," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    9. Axel Mühlbacher & Peter Zweifel & Anika Kaczynski & F. Johnson, 2015. "Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues," Health Economics Review, Springer, vol. 6(1), pages 1-12, December.
    10. Davis, Katrina J & Burton, Michael & Kragt, Marit E, 2016. "Discrete choice models: scale heterogeneity and why it matters," Working Papers 235373, University of Western Australia, School of Agricultural and Resource Economics.
    11. Axel Christian Mühlbacher & Anika Kaczynski, 2021. "The Impact of Gastrointestinal Symptoms on Patients’ Well-Being: Best–Worst Scaling (BWS) to Prioritize Symptoms of the Gastrointestinal Symptom Score (GIS)," IJERPH, MDPI, vol. 18(21), pages 1-13, November.
    12. Marti, Joachim & Buckell, John & Maclean, J. Catherine & Sindelar, Jody L., 2017. "To 'Vape' or Smoke? A Discrete Choice Experiment among Adult Smokers," IZA Discussion Papers 10490, Institute of Labor Economics (IZA).
    13. Katrina J Davis & Marit E Kragt & Stefan Gelcich & Michael Burton & Steven Schilizzi & David J Pannell, 2017. "Why are Fishers not Enforcing Their Marine User Rights?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 661-681, August.
    14. Axel C. Mühlbacher & Peter Zweifel & Anika Kaczynski & F. Reed Johnson, 2016. "Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues," Health Economics Review, Springer, vol. 6(1), pages 1-12, December.
    15. Teresa Madureira & Fernando Nunes & José Veiga & Pablo Saralegui-Diez, 2021. "Choices in Sustainable Food Consumption: How Spanish Low Intake Organic Consumers Behave," Agriculture, MDPI, vol. 11(11), pages 1-18, November.
    16. C. Neumann da Cunha & H. Dewes & Marcos Vinícius Araujo, 2019. "Consumer preferences using the method BW Score: A study of Brazilian consumer's perception," Post-Print hal-02885655, HAL.
    17. Shittu, A. & Kehinde, M., 2018. "Willingness to Accept Incentives for a Shift to Climate – Smart Agriculture among Smallholder Farmers in Southwest and Northcentral Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275983, International Association of Agricultural Economists.
    18. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.
    19. Kayode Ajewole & Elliott Dennis & Ted C. Schroeder & Jason Bergtold, 2021. "Relative valuation of food and non‐food risks with a comparison to actuarial values: A best–worst approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 927-943, November.
    20. Kei Long Cheung & Ben F. M. Wijnen & Ilene L. Hollin & Ellen M. Janssen & John F. Bridges & Silvia M. A. A. Evers & Mickael Hiligsmann, 2016. "Using Best–Worst Scaling to Investigate Preferences in Health Care," PharmacoEconomics, Springer, vol. 34(12), pages 1195-1209, December.
    21. Hall, Natasha Yvonne & Le, Long & Abimanyi-Ochom, Julie & Mihalopoulos, Cathy, 2023. "Measuring the importance of different barriers to opioid agonist treatment using best-worst scaling in an Australian setting," Health Policy, Elsevier, vol. 138(C).

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