[Paper Review] Subsidising Inclusive Insurance to Reduce Poverty

José Miguel Flores-Contró, Kira Henshaw+3 more|arXiv (Cornell University)|Mar 10, 2021

Agricultural risk and resilience4 citations

TL;DR

This paper evaluates subsidized microinsurance as a cost-effective tool to reduce poverty by modeling household capital dynamics using a ruin-theoretic framework. It finds that government-subsidized, flexible-premium insurance significantly reduces both poverty trapping and social protection costs, especially for households near but above the poverty line.

ABSTRACT

In this article, we assess the benefits of coordination and partnerships between governments and private insurers, and provide further evidence for microinsurance products as powerful and cost-effective tools for achieving poverty reduction. To explore these ideas, we model the capital of a household from a ruin-theoretic perspective to measure the impact of microinsurance on poverty dynamics and the governmental cost of social protection. We analyse the model under four frameworks: uninsured, insured (without subsidies), insured with subsidised constant premiums and insured with subsidised flexible premiums. Although insurance alone (without subsidies) may not be sufficient to reduce the likelihood of falling into the area of poverty for specific groups of households, since premium payments constrain their capital growth, our analysis suggests that subsidised schemes can provide maximum social benefits while reducing governmental costs.

Motivation & Objective

• To assess how coordination between governments and private insurers enhances poverty reduction through microinsurance.
• To analyze the impact of different insurance frameworks—uninsured, privately insured, and subsidized—on household poverty dynamics.
• To evaluate the cost-effectiveness of government subsidies in reducing the long-term cost of social protection.
• To identify the optimal insurance design for households near the poverty line, where premium payments pose a significant risk of falling into poverty.
• To advocate for public-private partnerships in delivering inclusive, affordable insurance to vulnerable populations.

Proposed method

• Adopts a ruin-theoretic model to simulate household capital evolution under financial shocks and insurance coverage.
• Compares four frameworks: uninsured, privately insured (no subsidy), insured with constant subsidized premiums, and insured with flexible (barrier-based) subsidies.
• Uses stochastic processes to model random losses and capital depletion, defining 'trapping' as persistent poverty due to repeated shocks.
• Quantifies the 'cost of social protection' as the cumulative government expenditure needed to lift households from poverty after shocks.
• Introduces a 'barrier strategy' where subsidies are provided only while household capital remains below a defined threshold.
• Analyzes the long-term sustainability and equity implications of continuous versus phased subsidy schemes.

Experimental results

Research questions

• RQ1 How does subsidized microinsurance compare to uninsured or privately insured scenarios in reducing household poverty trapping?
• RQ2 What is the impact of flexible versus constant premium subsidies on the probability of poverty trapping and government cost of social protection?
• RQ3 How do households near the poverty line respond to insurance premiums, and what role do subsidies play in preventing them from falling into poverty?
• RQ4 To what extent can public-private partnerships in microinsurance reduce the long-term cost of social protection?
• RQ5 What are the limitations of continuous subsidy schemes, and how might phased or barrier-based models improve sustainability and effectiveness?

Key findings

• Subsidized microinsurance with flexible premiums significantly reduces the probability of poverty trapping compared to uninsured or unsubsidized insured scenarios.
• Households near the poverty line face a high risk of falling into poverty due to premium payments, making them the 'missing middle' in need of targeted support.
• The government's cost of social protection is substantially lower under flexible subsidy schemes, as households are less likely to require repeated interventions.
• Capital injection needs are lower for subsidized insured households compared to uninsured ones, especially for those near the poverty line.
• The barrier-based subsidy strategy reduces both trapping probability and government costs, demonstrating superior cost-effectiveness over constant subsidy models.
• Subsidized insurance outperforms pure cash transfers in long-term poverty reduction, particularly when targeting households just above the poverty line.