Why Your Insurance Premium Went Up (Even With Zero Claims)

💡 Economics × Insurance · Moral Hazard Series

Why Your Insurance Premium Went Up After You Never Claimed Anything

You didn’t file a single claim. You didn’t change hospitals, jobs, or habits. And yet the renewal notice landed with a number that made you re-read it twice. Here’s the real economics behind it — and it isn’t “medical inflation.”

✍️ By Prateek Raj Tripathi · 📅 August 1, 2026 · ⏱ 16 min read · 🎓 Insurance Economics, Explained

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The ₹0-Claims, 22% Hike Problem

Picture a familiar composite reader — call him Rohan, 29, works in Pune, has had a ₹10 lakh individual health policy since 2023. He has never filed a claim. Not one hospital visit, not one day-care procedure, nothing. When his renewal notice arrived this year, the premium had jumped by roughly 22% over what he paid last year. His first reaction, echoed constantly in threads across r/personalfinanceindia, was some version of: “I’m the ideal customer. Why am I being punished for it?”

The agent’s answer, when Rohan called to ask, was the industry’s reflexive one-liner: “medical inflation.” It’s a real phenomenon — hospital tariffs, diagnostics, and pharmaceutical costs in India have genuinely been rising faster than headline retail inflation for years. But “medical inflation” as a blanket explanation is incomplete in a specific, checkable way: the Indian government itself has said, on record in Parliament, that it doesn’t have data proving medical inflation alone explains individual premium hikes. In a written Lok Sabha reply, the Minister of State for Finance stated that IRDAI has not conducted any specific study correlating the rate of medical inflation with health insurance premium increases, and that because multiple factors contribute to any individual’s premium change, the portion attributable to medical inflation specifically cannot be isolated.^[5]

That doesn’t mean Rohan is being cheated. It means the real explanation is more structural — and more interesting — than a single word insurers reach for on the phone. It has a name in economics, actually two names, and once you understand them, every renewal notice you’ll ever receive starts making a different kind of sense.

What Moral Hazard Actually Means

The Plain-English Definition

Moral hazard is what happens when being protected from a risk changes how a person behaves around that risk — usually by making them somewhat less cautious, or somewhat more willing to use a service, than they would be if they bore the full cost themselves. It has nothing to do with morality in the everyday sense. No one is doing anything wrong. It’s simply a predictable, well-documented shift in incentives once insurance removes the direct sting of a cost.

The concept is foundational to insurance economics and traces back to the work of economist Kenneth Arrow, who examined how the economics of medical care shift once a third party — the insurer — starts absorbing costs the patient would otherwise weigh directly. The mechanism is simple: when someone else is paying, the person receiving the service has less reason to ask “do I really need this test?” before saying yes to it.

Why Insurers Price the Pool, Not the Person

Here’s the part that actually explains Rohan’s renewal notice. An insurer cannot observe, in real time, exactly how any one policyholder’s behaviour will change after they buy cover. So it doesn’t try to price Rohan individually based on the fact that he personally hasn’t claimed. Instead, it prices the entire pool of similar policyholders — same age band, same city tier, same plan design — based on how that group’s claims behaviour trends over time, on average, once everyone in it has the safety net of coverage.

If claims utilisation across the pool rises — more people going for elective procedures, more diagnostic tests being ordered because “insurance is covering it anyway,” more day-care claims being filed for conditions that used to be treated at home — the premium for the entire pool moves up at renewal, regardless of what any single non-claiming member did. Rohan’s zero-claims history doesn’t exempt him from a repricing that’s calculated at the pool level, because the risk being priced was never really "Rohan the individual" — it was always "people who look statistically like Rohan."

Figure 2 — Premiums are set at the level of the whole pool of policyholders, not per individual. A rising higher-utilisation subset (moral hazard + adverse selection combined) lifts the renewal price for everyone in the pool. Source: CrunchyCashFlow original illustration.

A Quick Real-World Analogy

Think about how a company car gets driven differently than a personal one. When an employee drives their own car, they’re careful about kerbs, hard braking, and where they park, because every scratch comes directly out of their own pocket and their own time. Hand the same person a company car with company-paid insurance and company-paid fuel, and small behavioural shifts creep in almost unconsciously — a slightly harder brake, a slightly more careless parking spot, because the direct personal cost of a mistake has been diluted. Nobody set out to be careless. The incentive structure simply changed the moment someone else started absorbing the downside. Health insurance works the same way, at the level of an entire risk pool rather than one driver.

What Adverse Selection Means (and Why It’s Moral Hazard’s Twin)

Who Buys and Renews More Aggressively — and Why That Skews the Pool

Adverse selection happens before a policy is even bought. It’s the tendency for people who already suspect they’re higher-risk — a family history of a particular illness, an early symptom they haven’t had checked, a stressful job with poor sleep — to seek out insurance more eagerly, buy higher sum-insured plans, and renew without fail every year, compared to people who consider themselves unlikely to need it. Economist George Akerlof's 1970 "market for lemons" framework, built around the used-car market, is the foundational illustration of this problem: whenever one side of a transaction knows more about their own risk than the other side does, the market tends to skew toward the riskier participants over time. Akerlof used used cars to make the point; insurance is simply one of the clearest real-world applications of the same underlying logic.

The insurer, on the other side of this transaction, cannot fully see inside anyone’s actual health risk at the moment of underwriting — medical tests at proposal stage catch some of it, but not all of it, and certainly not future risk. So over time, the pool of people who stay insured tends to skew slightly toward those who value the cover more, which, statistically, correlates with being somewhat higher-risk on average.

How This Compounds Moral Hazard Industry-Wide

These two effects don’t operate in isolation — they reinforce each other. Adverse selection changes who is in the pool over time (skewing toward more claims-prone members); moral hazard changes how everyone already in the pool behaves once covered. Put together, they explain why premiums drift upward across an entire product category, year after year, independent of what any single non-claiming policyholder personally did. It's not one villain — it's two well-documented economic forces running in parallel, both of which insurers price for at the pool level because neither can be solved by individually rewarding one non-claiming customer.

Figure 1 — Two distinct economic mechanisms that both push insurance pools toward higher aggregate claims. Source: CrunchyCashFlow original illustration, based on Arrow (1963) and Akerlof (1970).

Moral Hazard vs Adverse Selection: Side by Side

So Why Did YOUR Premium Go Up Specifically?

Pool-Level Repricing: Age Band, GST Changes, Medical Inflation

Three structural things genuinely move the number on your renewal notice, and none of them require you to have filed a claim:

• Age-band migration. Health premiums in India are priced in age bands (typically 5-year slabs). Crossing from one band to the next — say, 30 to 35 — triggers a structural repricing that has nothing to do with your personal claims history.
• Medical cost inflation at the pool level. While no single government study isolates its exact individual-level contribution, hospital tariffs, diagnostics, and treatment costs rising across the pool your insurer covers does feed into aggregate claims outgo — which is what drives repricing, not any one person’s bill.
• Regulatory and product changes. IRDAI’s 2024 master circular, for instance, reduced the waiting period for pre-existing diseases and shortened the moratorium period on several products — both changes that expand what insurers are on the hook to pay, which some insurers have passed through as premium adjustments.

One genuinely good-news structural change worth knowing: from September 22, 2025, the 56th GST Council meeting reduced GST on all individual life and health insurance policies — including family floater and senior citizen plans — from 18% to 0%, per an official notice from the Department of Financial Services, Ministry of Finance.^[1] Group and employer-provided health policies were not included in this exemption and continue to attract 18% GST. If your last renewal notice showed a smaller net increase than expected despite everything above, this GST removal is very likely part of the reason — it's easy to miss in the noise of a headline premium number.

Regulatory Shifts: The Senior-Citizen Premium Cap

IRDAI doesn’t leave premium hikes entirely to insurer discretion. Via a circular dated January 30, 2025, the regulator directed that insurers cannot raise health insurance premiums for policyholders aged 60 and above by more than 10% in a single year without first securing IRDAI’s prior approval — a rule introduced specifically after a pattern of steep renewal hikes for senior citizens drew regulatory attention.^[3] The circular also requires insurers to get prior approval before withdrawing any individual health product designed for seniors. It doesn’t cap premiums for younger age bands the same way, but it’s a useful data point: when regulators intervene, it’s specifically because unrestrained hikes were happening somewhere in the system — further evidence that "medical inflation" alone isn't sufficient as an explanation.

What Is Not Driving It: Your Individual Non-Claim History

This is the part worth sitting with. Unlike motor insurance, where a No-Claim Bonus (NCB) directly reduces your renewal premium in most policies, health insurance in India typically rewards a claim-free year very differently — and the difference matters enough that it gets its own section below.

Does Not Claiming Actually Help You? The NCB Truth

It's a fair, commonly-held assumption that not claiming for years should function like a no-claim bonus does in motor insurance — a lower renewal premium as a direct reward for good behaviour. In Indian health insurance, that's only partly true, and getting the mechanism right matters.

Health insurers in India are permitted by IRDAI’s framework to offer a No-Claim Bonus (NCB), also called a cumulative bonus, in one of two structurally different forms: either an increase in your sum insured at no extra premium cost for each claim-free year (the more common form, typically capped at 50–100% of the base sum insured across most products), or, less commonly, an outright discount on the renewal premium itself. Some newer products let the policyholder choose between the two at renewal.

The distinction is not a technicality — it changes what "reward" actually means for Rohan. A cumulative bonus that boosts his ₹10 lakh sum insured to ₹10.5 lakh after one claim-free year genuinely strengthens his protection against a large future hospital bill. It does not, however, show up as a smaller number on his renewal premium invoice — which is precisely why a policyholder can be simultaneously "rewarded" for not claiming and still see their headline premium rise, because the two mechanisms (sum-insured growth vs. premium level) are calculated and disclosed separately, and one growing doesn't offset the other shrinking.

Interactive: The CSR/ICR Lookup Explainer

Two ratios matter more than the sticker premium when you're actually deciding whether an insurer is worth staying with or switching to. This calculator is purely educational — enter any hypothetical numbers to see how each ratio is computed. No real insurer data is pre-loaded.

What This Means for Your Next Renewal Decision

Why Comparing Premium Alone Is the Wrong Comparison

If moral hazard and adverse selection push premiums up at the pool level regardless of any one policyholder's behaviour, then the cheapest premium at renewal isn't automatically the best decision — it might just mean an insurer with tighter underwriting, more claim sub-limits, or a smaller, less risk-diverse pool. The number that actually tells you whether an insurer reliably pays out is not the premium. It's the Claim Settlement Ratio and the Incurred Claims Ratio, read together.

How to Actually Read CSR and ICR

Claim Settlement Ratio (CSR) is the percentage of claims an insurer settled out of the total claims it received in a financial year — a volume-based measure of reliability. Incurred Claims Ratio (ICR) is a different calculation entirely: the ratio of claims paid to premium earned in that year. Per IRDAI's Annual Report 2024–25, the non-life insurance industry's overall incurred claims ratio stood at 82.88% for FY 2024–25, with standalone health insurers reporting a segment-specific ratio of 68.06%.^[2] Insurance analysts generally treat an ICR in the 70–90% range as a reasonably comfortable zone — low enough that the insurer isn't bleeding money on claims, high enough that it isn't obviously under-paying relative to what it collects.

Neither ratio alone tells the full story. A very low ICR could mean a genuinely healthy, low-claiming customer base — or it could mean restrictive claim practices. A very high one could mean generous claim settlement — or financial stress on the insurer. Read both ratios together, and read them over multiple years rather than a single snapshot, before treating either as a verdict.

Questions Worth Asking Instead of Accepting "Medical Inflation"

• "Is this a pool-level repricing, or has my specific age band changed since last renewal?"
• "Has this product's ICR or claim volume changed materially in IRDAI's last published disclosure?"
• "Did the GST exemption on individual policies get reflected in my net premium, or only in the base premium before other adjustments?"
• "If I'm over 60, was this hike above 10% — and if so, did the insurer disclose IRDAI's prior approval for it?"

Myth vs Reality

The Takeaway

Here's the honest, complete version of what happens at your next renewal: two well-documented economic forces — moral hazard and adverse selection — work on your entire risk pool continuously, whether or not you personally ever file a claim. Add age-band migration and periodic regulatory changes, and "medical inflation" stops being a full explanation and becomes just one ingredient among several. Once you know this, the smart move at renewal isn't to feel singled out — it's to stop treating the premium number as the whole story. Pull up the insurer's Claim Settlement Ratio and Incurred Claims Ratio from IRDAI's own disclosures, check whether your age band shifted, confirm the GST exemption is correctly reflected, and only then decide whether to renew, switch, or escalate. The reader who understands this isn't guaranteed a lower premium next year — but they are guaranteed to stop arguing with the wrong villain.

Frequently Asked Questions

Prateek Raj Tripathi

Economics & Trade Policy Analyst · CrunchyCashFlow

I am, by every metric an insurer likes, the ideal health insurance customer: I've never filed a claim, I renew on time every year, and I don't even know where my policy document's physical copy currently lives. So when my own renewal notice landed with a hike I genuinely wasn't expecting, my first instinct — before I'd written a single word about moral hazard for a living — was the exact same one covered in this article: I'm the boring, non-claiming customer insurers dream of, and apparently I still get punished for it. Turns out the pool doesn't care how boring I am individually. It only cares what the pool, on average, is doing. Writing this piece was partly me making peace with that.

Prateek is an independent writer and analyst translating institutional data from IRDAI, SEBI, and RBI into practical insight for Indian readers. He holds a Post-Graduate Diploma in International Trade and Business Law from the University of Delhi.

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ⓘ Prateek Raj Tripathi is not a SEBI-registered Investment Adviser. CrunchyCashFlow does not hold an IRDAI licence to sell or advise on insurance products.

📚 Related on CrunchyCashFlow

Before your next renewal, it's worth understanding how much term insurance cover you actually need — the same pool-pricing logic that drives health premium hikes also shapes how term insurers price age bands. And if you've ever wondered why a WhatsApp forward convinced you an insurance "deal" was too good to pass up, our piece on asymmetric information covers the closely related economics of why one side of a transaction often knows more than the other. For the bigger inflation picture behind rising medical costs, see Understanding Inflation Part 1.

📚 Citations & Sources

1. Department of Financial Services, Ministry of Finance, Government of India. Exemption of GST on all Individual Life Insurance and Health Insurance Policies, effective September 22, 2025 (56th GST Council meeting). financialservices.gov.in
2. Insurance Regulatory and Development Authority of India (IRDAI). Annual Report 2024–25 — Incurred Claims Ratio data (non-life industry overall: 82.88%; standalone health insurers: 68.06%). irdai.gov.in
3. IRDAI. Circular dated January 30, 2025, capping annual health insurance premium increases for senior citizens (age 60+) at 10% without prior regulatory approval. irdai.gov.in
4. IRDAI. Annual Report 2024–25 — "Unfair Business Practices" grievance data against life insurers (26,667 in FY25 vs 23,335 in FY24, a 14.3% YoY rise). irdai.gov.in
5. Minister of State for Finance, written reply in Lok Sabha, Parliament of India, on the absence of an IRDAI study directly linking medical inflation to health insurance premium hikes. Reported via Asia Insurance Post. asiainsurancepost.com — primary Lok Sabha reply text available via sansad.in
6. IRDAI. No-Claim Bonus / Cumulative Bonus framework for health insurance — sum-insured increase and premium-discount formats. irdai.gov.in
7. Kenneth J. Arrow. "Uncertainty and the Welfare Economics of Medical Care," American Economic Review, 1963 — foundational economic treatment of moral hazard in insured medical care.
8. George A. Akerlof. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," Quarterly Journal of Economics, 1970 — foundational treatment of adverse selection ("the lemons problem"); Akerlof shared the 2001 Nobel Memorial Prize in Economic Sciences for this and related work.
9. CrunchyCashFlow. Term Insurance India 2026: How Much Cover Do You Need? — internal reference on insurer CSR evaluation.
10. CrunchyCashFlow. Why Your WhatsApp Stock Tip Is Designed to Fail You: Asymmetric Information — companion piece on information asymmetry.

All figures were verified against institutional and government sources at the time of writing (August 2026). GST rates, IRDAI circulars, and claims-ratio data are subject to periodic revision — always confirm the current position directly at irdai.gov.in or gst.gov.in before making a decision.