Page 42 - GHES-3-2

Global Health Economics and
Sustainability
Random price generators in health policy

financial information systems with implicit and explicit The original econometric paper and the original case study
information implemented in the correct settings and on diabetes Type 2 are published in articles cited in this
modes of enforcement (Sunstein, 2016). paper; there are no other direct contributors in this health
Integrating individual levels and microdata to represent policy-oriented paper.
the heterogeneity of demand (and patient needs) is usually References
achieved through choice modeling (Abaluck & Gruber,
2013). Random price parameters in structural models Abaluck, J., & Gruber, J. (2013). Evolving Choice Inconsistencies
seem promising for structural models fitting complex, in Choice of Prescription Drug Insurance, June, WP 19163.
United States: NBER.
competitive markets such as the US medical market. It may
also be helpful when there is a disruptive transformation of Berry, S. (1994). Estimating discrete-choice models of product
market dynamics and more open boundaries in sciences. differentiation. Rand Journal of Economics, 25(2):242-262.
https://doi.org/10.2307/2555829
Acknowledgments
Berry, S., Levinsohn, J., & Pakes, A. (1995). Automobile prices in
Emeritus Professor Christine C. Huttin is grateful to market equilibrium. Econometrica, 63(4):841-890.
Professor J. Hausman for his invitation at the economics https://doi.org/10.2307/2171802
department at MIT and his co-investigators Professor Hahn
and Dr. Lustig for the computer codes and paper of the new Berry, S.T., & Haile, P.A. (2014). Identification in differentiated
specification test; these materials allow Professor Huttin and product markets using market level data. Econometrica,
82(5):1749-1797.
Professor Hausman to develop an application for physicians.
https://doi.org/10.3982/ECTA9027
Funding Burda, M., Harding, M., & Hausman, J.A. (2012). Bayesian

None. mixed logit-probit model for multinomial choice. Journal of
Econometrics, 147:232-246.
Conflict of interest Chen, Y., Pan, Y., & Ding, Y. (2023). How does market competition

The author declares no competing interests. affect supplier-induced demand? An experimental study.
Frontier in Public Health, 11:1024337.
Author contributions https://doi.org/10.3389/fpubh.2023.1024337
This is a single-authored article. Colon, C., & Gortmaker, J. (2020). Best practices for differentiated
products demand estimation with PyBLP. Rand Journal of
Ethics approval and consent to participate Economics, 51(4):1108-1161.
Not applicable. Colorni, A., & Tsoukias, A. (2018). In: Matsatsinis, N., &
Grigoroudis, E. (eds.). General Framework for Designing
Consent for publication Alternatives. Berlin: Springer, p.1-15.
Not applicable. https://doi.org:10.1007/978-3-319-90599-0-1
Ellis, A., De Bekker-Grob, E., Howard, K., Thomas, K., Lancsar, E.,
Availability of data Ryan, M., et al. (2019). Number of Halton Draws Required
Not applicable. for Valid Random Parameter Estimation with Discrete
Choice Data. In: Proceedings, IAHPR Conference.
Further disclosure Evans, R. (1974). Supplier-Induced Demand. Some Empirical
Part of the results from figures and tables are extracted Evidence and Implications. London: McMillan.
from communications at conferences. EWG-MCDA meets Glenk, K., Johnston, R., Meyerhoff, J., & Sagebiel, J. (2020).
twice a year; it is a European working group and is in EURO Valuation in environmental and resource economics.
society. All the results were presented at Euro in Helsinki. Methods, Trends and Challenges, 75:215-242.
Usually, the EWG helps to prepare main conference. https://doi.org/10.1007/s10640-018-00311-w
Figure 2 is an extract from my own article in Technology Grimmett, G.R., & Stirzaker, D.R. (2020), Probability and
th
and HealthCare, only authors need to agree for tables. Random Processes. 4 ed. Oxford: Oxford University Press.
Table 1 is no problem since I mentioned that in the Hahn, J., Hausman, J., & Lustig, J. (2020). Specification test on
Archives of Health Sciences, it is an open access journal, mixed logit models. Journal of Econometrics, 219:19-37.
and the authors keep copyrights. https://doi.org/10.1016/j.jeconom.2020.03.015

Volume 3 Issue 2 (2025) 34 https://doi.org/10.36922/ghes.3579