Experienced Participant Valuation Spillover

In Simple Words

Think of a town where half the residents tested a new brand of electric cars last year while the other half never saw one; first-time buyers might express higher curiosity and higher willingness to pay, whereas experienced drivers bid more conservatively based on real-world usage.

Research question

Repeated exposure to complex financial instruments across multiple seasons can influence consumer valuation and willingness to pay, differentiating veteran trial subjects from newly recruited market participants.

Participants

N = 1,978 total farmers (1,464 original 2009 study participants and 514 newly added subjects) in rural Andhra Pradesh, India.

Study Design

OLS regression controlling for "New Participants" status during BDM willingness-to-pay elicitations across four policy designs.

Results

New participants expressed a statistically significant higher willingness to pay for insurance policies (approx. Rs. 6–8 higher per policy) relative to returning multi-year study participants.

Takeaway

Account for participant study fatigue and novelty bias when measuring willingness to pay for novel financial services across multi-year experimental panels.

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.

Statistically significant

A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.

ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.

American Statistical Association · Statement on p-values ↗Read more about statistically significant →

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