Insurable Interest Exclusion and GE Welfare Spillover

In Simple Words

Imagine a law that allows shop owners in a town to buy fire insurance, but forbids the shop employees from buying unemployment insurance. When shop owners buy fire insurance, they stock their shelves with fragile glass statues that yield huge profits when safe, but shatter instantly during fires. If a fire occurs, the shop owners collect insurance money, but all the workers get laid off with zero income. If the workers were also allowed to buy insurance, their payouts during fire events would support them and prevent the entire town's wage market from collapsing.

Research question

Regulatory frameworks in developing nations restrict agricultural index insurance strictly to land-owning cultivators under "insurable interest" rules, barring landless wage workers from buying policy contracts. Marketing weather insurance exclusively to landowners induces higher risk-taking that increases wage volatility, leaving landless laborers worse off than in an economy without any formal insurance products.

Participants

4,706 landless wage workers aged 20+ and 1,585 landowning households across 63 sample villages in India.

Study Design

General equilibrium wage model estimation combined with counterfactual policy simulations across cultivator-only, laborer-only, and joint insurance coverage regimes.

Results

Marketing insurance solely to cultivators (25.6% coverage) reduces drought wages by 0.63 log points at the 30th percentile of rainfall and 0.23 log points at median rainfall. Jointly offering insurance to both cultivators (25.6%) and laborers (31.8%) eliminates wage volatility, raising median rainfall wages by 11.7% and 80th percentile wages by 19%.

Takeaway

Repeal legal insurable interest mandates that restrict agricultural weather index insurance to land title holders, extending eligibility to landless agricultural wage laborers.

Read alongside the research

Plain-English glossary

Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.

Median

The middle number after arranging the values from smallest to largest. If there are two middle numbers, use their average.

ExampleFor the values 2, 4 and 12, the middle value is 4. The median is 4.

NIST · Measures of location ↗Read more about median →

Related findings

• Cultivator Risk-Taking and Labor Demand Volatility →Economics (general)

  Imagine a factory owner who usually manufactures simple wooden chairs because wooden chairs do not break if the factory roof leaks during a storm. If an insurance company guarantees to pay the factory owner every time a storm leaks through the roof, the owner immediately switches to building high-end electronic gadgets that produce huge profits during dry weather but get ruined in a rainstorm.

• Dual-Market Side Insurance Neutrality →Economics (general)

  Think of a tug-of-war game between store owners who want to cut wages during slow periods and shop assistants who demand higher pay. If only store owners receive insurance, they aggressively expand or contract hiring based on the weather, causing wild wage swings.

• General Equilibrium Program Evaluation Gap in Scaled Interventions →Economics (general)

  Imagine giving discount grocery vouchers to half the families in an isolated village. A standard test only checks if those receiving vouchers eat better, but when half the village uses vouchers to buy more food, the local store owner raises prices for everyone.

• Policy-Relevant Treatment Effect vs. Microeconometric Bias →Economics (general)

  Testing a free express toll pass on a tiny fraction of drivers makes those drivers arrive much faster without slowing down anyone else. However, giving the pass to every driver on the road creates massive gridlock in the express lane, completely eliminating the original time savings.