David M. Dror is an expert in microinsurance and health economics with over 35 years of experience. He founded and chaired the Micro Insurance Academy (New Delhi) from 2007-2017, establishing it as the world’s leading technical advisory body in microinsurance for grassroots communities. His research focuses on increasing insurance uptake in low-income and informal sectors in Asia and beyond. Dror has published extensively and holds honorary professorships in Europe. He regularly engages with civil society and professional organizations to promote innovative insurance solutions for underserved populations
EDUCATION
PhD - Université Claude Barnard Lyon 1, France
earlier education listed in the CV
RESEARCH, TEACHING, or OTHER INTERESTS
Economics, Econometrics and Finance, Health Policy
46
Scopus Publications
4292
Scholar Citations
33
Scholar h-index
58
Scholar i10-index
Scopus Publications
Trinity Law Framework: Health Insurance Taxonomy David Mark Dror Encyclopedia, 2026 Despite seven decades of international commitment—from the 1948 Universal Declaration of Human Rights through SDG 3.8—universal health coverage remains stubbornly out of reach. Two billion people, predominantly informal sector workers, lack access to sustainable health insurance. This entry explains the underlying cause: sustainable health insurance requires specific behavioral and institutional conditions for collective action—conditions that existing health insurance models systematically fail to satisfy, thereby structurally excluding informal populations. The Trinity Law framework formalizes these conditions as three multiplicatively interacting requirements—Trust (T), Consensus (C), and Dual Benefit (DB)—expressed as S = T × C × DB. Empirical analysis of community-based health insurance schemes across 24 countries identifies a robust trust threshold (τ* ≈ 0.68) operating as a behavioral phase transition: below this level, cooperation collapses; above it, participation becomes self-sustaining. Cross-country evidence from 274 organizations across 155 countries confirms consensus thresholds (C* ≈ 0.59), while analysis of 158,763 observations validates dual benefit mechanisms. The multiplicative structure explains why partial reforms fail: weakness in any single component drives overall sustainability toward zero. Applied to health insurance, this framework distinguishes conventional systems—Bismarckian employment-based, Beveridgean tax-financed, and commercial health insurance from sustainable systems like participatory community-based microinsurance that satisfy all three Trinity Law conditions through participatory design, transparent governance, and aligned incentives. The persistent UHC gap reflects not implementation failures but fundamental design incompatibilities that the Trinity Law makes explicit. This entry has three objectives: first, it states the Trinity Law conditions; second, it summarizes the empirical evidence for each component; third, it applies the framework to classify major health insurance models. Supporting datasets and code are available in the referenced Zenodo repositories. The term ‘law’ follows the tradition of social science regularities like the ‘law of demand’: a robust empirical pattern with strong predictive validity, not a claim to physical certainty.
Breaking the Mortality Curve: Investment-Driven Acceleration in Life Expectancy and Insurance Innovation David M. Dror Risks, 2025 Capital investment in longevity science—research targeting the biological processes of aging through interventions like cellular reprogramming, AI-driven drug discovery, and biological age monitoring—may create significant divergence between traditional actuarial projections and emerging mortality improvements. This paper examines how accelerating investment in life extension technologies affects mortality improvement trajectories beyond conventional actuarial assumptions, building on the comprehensive investment landscape analysis documented in “Investors in Longevity” supported by venture capital databases, industry reports, and regulatory filings. We introduce an Investment-Adjusted Mortality Model (IAMM) that incorporates capital allocation trends as leading indicators of mortality improvement acceleration. Under high-investment scenarios (annual funding of USD 15+ billion in longevity technologies), current insurance products may significantly underestimate longevity risk, creating potential solvency challenges. Our statistical analysis demonstrates that investment-driven mortality improvements—actual reductions in death rates resulting from new anti-aging interventions—could exceed traditional projections by 18–31% by 2040. We validate our model by backtesting historical data, showing improved predictive performance (35% reduction in MAPE) compared to traditional Lee–Carter approaches during periods of significant medical technology advancement. Based on these findings, we propose modified insurance structures, including dynamic mortality-linked products and biological age underwriting, quantifying their effectiveness in reducing longevity risk exposure by 42–67%. These results suggest the need for actuarial science to incorporate investment dynamics in response to the changing longevity investment environment detailed in “Investors in Longevity”. The framework presented provides both theoretically grounded and empirically tested tools for incorporating investment dynamics into mortality projections and insurance product design, addressing gaps in current risk management approaches for long-term mortality exposure.
Microinsurance: A short history David M. Dror International Social Security Review, 2019 Twenty years ago, the International Social Security Review published an article that introduced a new term to the vocabulary of development and social protection: Microinsurance. Now, twenty years later, it is suitable to take stock of the contribution of microinsurance towards promoting coverage and social security. The article reviews the main insights gained from 20 years of implementation, including a clear expression of the value proposition of health microinsurance, understanding the demand for microinsurance, the business process for successful implementation, and conditions that must be satisfied for scaling and sustainable operations. It also explains the context that led to a considerable divergence in the microinsurance space. The article offers a discussion of unresolved issues and thoughts about the future of microinsurance. The conclusion of this article is that microinsurance can flourish when the necessary four pillars for its implementation exist, namely mainstreaming through political support, enhanced insurance literacy of the customers, technical assistance to self‐administer the schemes, and availability of seed capital. The sufficient additional condition is that customers perceive microinsurance as offering welfare gains that cannot be obtained by other means.
Editorial David M. Dror Geneva Papers on Risk and Insurance Issues and Practice, 2019
The effect of consensus on demand for voluntary micro health insurance in rural India David Mark Dror, Atanu Majumdar, Arpita Chakraborty Risk Management and Healthcare Policy, 2018 Introduction This study deals with examining factors that catalyze demand for community-based micro health insurance (MHI) schemes. We hypothesize that demand for health insurance is a collective decision in the context of informality and poverty. Our hypothesis challenges the classical theory of demand which posits individual expected diminishing utility. We examine factors beyond the traditional exogenous variables. Methods This study uses data collected through a household survey conducted among self-help groups in rural India in the states of Uttar Pradesh and Bihar before the implementation of three community-based MHI schemes. Additional information was extracted from the management information system maintained by the schemes. At the first step, we compared the estimated probability of a household joining the scheme (obtained by applying logistic regression) to the actual uptake. In the next step, we analyzed the role of consensus within groups on demand for health insurance (by applying ordinary least square regressions). Results The results of the logistic regressions indicated that exogenous household characteristics could not explain the probability of joining health insurance. We observed that group consensus on several critical issues, such as the price of the insurance, perceptions about exposure to adverse health events, and perceptions of the quality of service of local health care providers, was the important determinant of demand for insurance. Conclusion Based on the analysis, we reject the null hypothesis that demand is an individual decision at the household level. The analysis upholds the assumption that demand is created through a process of consensus building on perceptions of risk exposure, welfare gains from the insurance, and quality of local health care provision. Success in catalyzing demand for health insurance in the informal sector depends on encouraging group dialog.
'First we go to the small doctor': First contact for curative health care sought by rural communities in Andhra Pradesh & Orissa, India Indian Journal of Medical Research, 2011
Trinity Law Framework: Health Insurance Taxonomy DM Dror Encyclopedia 6 (1), 1 , 2025 2025
Letters in Economic Research Updates DM Dror 2025
Breaking the Mortality Curve: Investment-Driven Acceleration in Life Expectancy and Insurance Innovation DM Dror Risks 13 (7), 122 , 2025 2025
Longevity Technology Transfer: From Laboratory to Marketplace DM Dror 2025
Trust as a Health System Resource: Practical Applications of the Collaborative & Contributive Insurance Model for Global Health Equity DM Dror medRxiv, 2025.05. 05.25326921 , 2025 2025
Entrepreneurial Leadership in Longevity Innovation: Elite Investor Strategies and Vision-Driven Market Creation Working Paper Series: The Economics of Longevity Innovation … DM Dror Available at SSRN 5297352 , 2025 2025
Microinsurance: Promoting Resilience and Welfare in the Informal Sector DM Dror, M Eling Handbook of Insurance: Volume II, 555-578 , 2025 2025 Citations: 3
Ethics and Equity in Longevity Investment: Distributive Justice and Access to Life Extension Technologies DM Dror Working Paper Series: The Economics of Longevity Innovation (Paper No. 7) 2025 , 2025 2025
Predicting Longevity Market Dynamics: Who Benefits from Life Extension Technologies and Market Segmentation Analysis DM Dror Available at SSRN 5297105 , 2025 2025
Actuaries vs. Eternity: The Widening Gap Between Fast-Moving Lifespan Technologies and Change-Resistant Risk Models DM Dror 2025
Beyond Financial Protection: A Comprehensive Framework for Value for Money in Health Insurance for Informal Sector Populations DM Dror Kiel, Hamburg: ZBW-Leibniz Information Centre for Economics , 2025 2025
A Mathematical Framework for Trust Dynamics in Small-Scale Risk-Sharing Communities DM Dror Kiel, Hamburg: ZBW-Leibniz Information Centre for Economics , 2025 2025
Mathematical Taxonomy of Health Insurance Models: Conventional Approaches and the Emergent C&C Paradigm DM Dror Kiel, Hamburg: ZBW-Leibniz Information Centre for Economics , 2025 2025
Economic Valuation of Longevity Technologies: Cost-Benefit Analysis and Market Assessment of Life Extension Investments Working Paper Series: The Economics of Longevity … DM Dror Available at SSRN 5297089 , 2024 2024
Global Perspectives on Longevity Investment: A Comparative Analysis of National Innovation Strategies and Cross-Border Technology Transfer DM Dror Global Perspectives on Longevity Investment: A Comparative Analysis of … , 2024 2024
Private Capital Flows in Longevity Research: Market Analysis and Investment Patterns in the Emerging $27 Trillion Economy DM Dror 2024
Investors in Longevity: Big Capital and the Future of Extending Life. DM Dror Available at SSRN 5296121 , 2024 2024 Citations: 11
Perspective Chapter: Microinsurance's Quest to Protect DM Dror Health Insurance Across Worldwide Health Systems, 19 , 2024 2024 Citations: 5
Innovations in microinsurance research DM Dror, M Eling The Geneva Papers on Risk and Insurance. Issues and Practice 46 (3), 325 , 2021 2021 Citations: 7
Innovations in Microinsurance Research, Editorial to special issue M Eling, DM Dror Geneva Papers on Risk and Insurance 46 (3), 325-330 , 2021 2021
MOST CITED SCHOLAR PUBLICATIONS
Micro‐insurance: extending health insurance to the excluded DM Dror, C Jacquier International social security review 52 (1), 71-97 , 1999 1999 Citations: 394
What factors affect voluntary uptake of community-based health insurance schemes in low-and middle-income countries? A systematic review and meta-analysis DM Dror, SAS Hossain, A Majumdar, TL Pérez Koehlmoos, D John, ... PloS one 11 (8), e0160479 , 2016 2016 Citations: 307
Willingness to pay for health insurance among rural and poor persons: Field evidence from seven micro health insurance units in India DM Dror, R Radermacher, R Koren Health policy 82 (1), 12-27 , 2007 2007 Citations: 294
Effectiveness of community health financing in meeting the cost of illness AS Preker, G Carrin, D Dror, M Jakab, W Hsiao, D Arhin-Tenkorang Bulletin of the World Health Organization 80, 143-150 , 2002 2002 Citations: 292
What is insurance for the poor? C Churchill Protecting the poor: A microinsurance compendium, International Labor … , 2006 2006 Citations: 240
Social reinsurance: a new approach to sustainable community health financing DM Dror, AS Preker World Bank Publications , 2002 2002 Citations: 163
Systematic review of willingness to pay for health insurance in low and middle income countries S Nosratnejad, A Rashidian, DM Dror PloS one 11 (6), e0157470 , 2016 2016 Citations: 152
Cost of illness: evidence from a study in five resource-poor locations in India DM Dror, O van Putten-Rademaker, R Koren Indian Journal of Medical Research 127 (4), 347-361 , 2008 2008 Citations: 131
‘First we go to the small doctor’: first contact for curative health care sought by rural communities in Andhra Pradesh & Orissa, India M Gautham, E Binnendijk, R Koren, DM Dror Indian Journal of Medical Research 134 (5), 627-638 , 2011 2011 Citations: 130
Rich-poor differences in health care financing AS Preker, G Carrin, D Dror, M Jakab, W Hsiao, D Arhin-Tenkorang Health Financing for Poor People–Resource Mobilization and Risk Sharing, 3-52 , 2004 2004 Citations: 124
Hardship financing of healthcare among rural poor in Orissa, India E Binnendijk, R Koren, DM Dror BMC health services research 12 (1), 23 , 2012 2012 Citations: 117
Field based evidence of enhanced healthcare utilization among persons insured by micro health insurance units in Philippines DM Dror, ES Soriano, ME Lorenzo, JN Sarol Jr, RS Azcuna, R Koren Health policy 73 (3), 263-271 , 2005 2005 Citations: 115
Modelling in health care finance: A compendium of quantitative techniques for health care financing M Cichon International Labour Organization , 1999 1999 Citations: 115
Enrolment in community-based health insurance schemes in rural Bihar and Uttar Pradesh, India P Panda, A Chakraborty, DM Dror, AS Bedi Health Policy and Planning 29 (8), 960-974 , 2014 2014 Citations: 101
Reinsurance of health insurance for the informal sector DM Dror Bulletin of the World Health Organization 79 (7), 672-678 , 2001 2001 Citations: 82
Health insurance benefit packages prioritized by low-income clients in India: three criteria to estimate effectiveness of choice DM Dror, R Koren, A Ost, E Binnendijk, S Vellakkal, M Danis Social Science & Medicine 64 (4), 884-896 , 2007 2007 Citations: 78
The demand for (micro) health insurance in the informal sector DM Dror, LA Firth The Geneva Papers on Risk and Insurance-Issues and Practice 39 (4), 693-711 , 2014 2014 Citations: 71
Is RSBY India's platform to implementing universal hospital insurance? DM Dror, S Vellakkal Indian Journal of Medical Research 135 (1), 56-63 , 2012 2012 Citations: 71
Building awareness to health insurance among the target population of community‐based health insurance schemes in rural India P Panda, A Chakraborty, DM Dror Tropical Medicine & International Health 20 (8), 1093-1107 , 2015 2015 Citations: 70
Estimating Willingness-To-Pay for Health Insurance among Rural Poor in India by reference to Engel’s Law E Binnendijk, DM Dror, E Gerelle, R Koren Social Science & Medicine 76 (January 2013), 67-73 , 2012 2012 Citations: 64
Publications
• Dror, D.M. (2024). Investors in Longevity: Big Capital and the Future of Extending Life. Literary Letters. Available on Amazon (E-book, Paperback, Hardcover) and Spotify (audiobook). Published August 19, 2024.
• Dror, D.M (2024): Perspective Chapter: Microinsurance’s Quest to Protect the Unprotected, beyond the Bismarck and Beveridge Models. DOI: . Chapter 2, pp. 19-44, in Tavares, A. I. (Ed.) (2024). Health Insurance Across Worldwide Health Systems. London, IntechOpen Publishing. . Available at SSRN: or
2023
• Dror, D.M. "Empowering the Unprotected: Microinsurance’s Journey Beyond Bismarck and In *India Insurance Report: Transforming Indian Insurance, Series II*, edited by Abhijit K. Chattoraj and Harivansh Chaturvedi, 107-132. Kolkata: Sashi Publications Private Limited, 2023. First published October 2023. ISBN 978-81-951103-2-2.
• Dror, D.M., Eling M (2023): Microinsurance: Promoting Resilience and Welfare in the Informal Sector. The chapter is to be included in the insurance manual (forthcoming).
Many more peer-reviewed papers and several books are listed in the CV
GRANT DETAILS
Please see my CV for past grants. I am now retired.