Driving Science · Research review · For parents

Should you buy your teenager their own car?

Every family with a new driver reaches this question, usually somewhere between the first lessons and the first months after the test. A car of their own feels like the natural next step: independence for them, fewer lifts for you. In 2024, one of the largest young-driver studies ever run published an answer worth reading before you decide. Researchers followed 20,806 young drivers for up to 13 years, matched against police crash records, hospital admissions and death registries. Those who had their own car when they started driving crashed at a higher rate, and their rate of crashes involving serious injury or death was roughly double in the first year. This guide takes that study apart, cross-examines it the way we'd want our own claims examined, and translates what survives into decisions an Irish parent can actually make.

Source: Chen et al. (2024), the DRIVE study 20,806 drivers · up to 13 years 📅 July 2026

Section 1

The study: why this one deserves your attention

Plenty of road-safety headlines rest on a questionnaire and a hunch. This is not one of them. Before the numbers, you should know why this study carries unusual weight.

Between June 2003 and December 2004, researchers in New South Wales, Australia, enrolled newly licensed drivers aged 17 to 24, all holding a first-year provisional licence, into what became known as the DRIVE study; 20,806 consenting drivers were included in this analysis. At recruitment, each driver answered a detailed questionnaire: how much they drove, how they rated their own ability, how often they took risks behind the wheel, how much they drank, whether they'd had professional lessons, and dozens of other factors. One question matters most for this guide: "Do you have regular access to a car, van, truck or similar vehicle to drive?" 45.7% answered "yes, my own car". Most of the rest shared a parent's or family car.

Then comes the part that separates this from a survey. The researchers did not ring participants years later and ask whether they'd crashed. Instead, they linked each driver, by name and date of birth, to police-recorded crash data, hospital admission records and death registrations, right up to 2016. That means the outcomes are what actually happened, recorded by systems that don't care what anyone remembers or admits. Memory can flatter. A hospital admission record cannot.

20,806newly licensed drivers aged 17-24, recruited 2003-04
13 yrsmaximum follow-up, with records linked to 2016
45.7%reported regular access to their own car at baseline
3record systems linked: police crashes, hospitalisations, deaths

🧪 Why the design matters

This is a prospective cohort study: the car-access question was asked first, and crashes were counted afterwards, over up to 13 years. That rules out one of the classic traps in this kind of research, where people who crashed reconstruct their history differently from those who didn't. It also used flexible survival modelling, which allowed the researchers to see not just whether own-car drivers crashed more, but how that difference changed year by year as the drivers grew up. It is still an observational study, not an experiment, and we will be honest about what that means in the limitations section. But as observational evidence goes, this is close to the strongest design available.

One more reason to trust the comparison: the two groups were not wildly different people. Both were mostly 17 to 19 years old, and the demographic spread was broadly similar. Where the groups did differ, in driving hours, risk-taking, drinking and other habits, the researchers measured those differences and adjusted for them. That adjustment is where this study gets interesting, and it is the entire subject of the cross-examination below.

Section 2

The headline numbers

Two outcomes were tracked: any police-recorded crash, and the crashes that ended in a hospital admission or a death record. The pattern is the same in both, and strongest where it hurts most.

Start with the raw counts, before any statistical adjustment. Over the follow-up, 21.9% of drivers with their own car had at least one crash, against 18.7% of those sharing a family car. For crashes resulting in hospitalisation or death, the proportions were small but the gap was proportionally much larger: 1.3% of own-car drivers against 0.7% of family-car drivers. Nearly twice the proportion, before adjusting for anything.

Raw counts can mislead, because the groups differed in how much they drove and how they behaved. So the researchers adjusted for age, sex, where people lived, how many hours a week they drove, risk-taking, sensation seeking, drinking, drug use, professional lessons, test attempts and more, and expressed the result as a hazard ratio. A hazard ratio of 1.29 means that, at that point in time, own-car drivers were crashing at a rate about 29% higher than comparable family-car drivers. Here is what the adjusted analysis found:

+29%higher rate of any crash at year one: HR 1.29 (95% CI 1.16-1.42)
×2.06rate of crashes involving serious injury or death at year one (95% CI 1.25-3.42)
+10%the any-crash gap still measurable at year seven
1.3 vs 0.7%hospitalised in a crash: own car vs shared family car (crude)

The time course matters as much as the size. The gap was widest at the start, when the drivers were newest, and narrowed as they gained experience. For any crash, the rate was about 33% higher at six months, 29% higher at one year, and it faded slowly, remaining statistically detectable until the end of year seven. For serious crashes, the rate was roughly double at the end of year one and still about 48% higher at year three. After that the serious-crash estimates were no longer statistically distinguishable, partly because, mercifully, serious crashes are rare enough that the data runs thin.

Time since start of follow-upAny crash: adjusted HR (95% CI)Crash with hospitalisation or death: adjusted HR (95% CI)
6 months1.33 (1.19-1.50)2.69 (1.50-4.83)
1 year1.29 (1.16-1.42)2.06 (1.25-3.42)
2 years1.23 (1.12-1.34)1.64 (1.06-2.54)
3 years1.19 (1.10-1.28)1.48 (1.01-2.18)
5 years1.13 (1.05-1.22)not statistically significant beyond year 3
7 years1.10 (1.00-1.20) 

Adjusted mean hazard ratios from Table 3 of Chen et al. (2024). HR above 1 means a higher crash rate for the own-car group. Where the confidence interval includes 1, the difference is no longer statistically distinguishable from zero.

💡

The shape of the finding: the extra risk attached to having your own car is front-loaded into exactly the period when a new driver is most vulnerable anyway. The first year of solo driving already carries the steepest crash risk of a driving lifetime, a pattern we unpack in our guide to young and novice drivers. This study says an own car makes that worst year meaningfully worse, and puts the crashes you fear most at twice the rate.

Section 3

The obvious objections, cross-examined

If you read those numbers and immediately thought "but surely that's just because...", good. So did we. Here are the three strongest objections, and what the data does to each of them.

⚖️ Objection one

"Kids with their own car simply drive more. More kilometres, more crashes. The car isn't the problem, the mileage is."

🔥 What the data says

The exposure gap is real and large: 46.7% of own-car drivers reported driving ten or more hours a week, against 20.3% of family-car drivers. If the analysis had ignored that, it would be worthless. It didn't. Average weekly driving hours were included in the adjustment, meaning the hazard ratios compare own-car and family-car drivers with similar reported driving time. The elevated crash rate survived. An earlier US study (Garcia-Espana et al., 2009, cited by the authors) found the same thing: even accounting for driving more, teens with primary access to a car reported more crashes.

✅ Where it lands

Partly right, mostly beaten. More driving is genuinely part of the picture, and an own car does buy more time on the road. But the adjusted results say there is something beyond mileage: after allowing for reported driving time, the own-car drivers were still crashing more. Whatever is going on, it is not just arithmetic.

⚖️ Objection two

"This is a boy-racer story. Lads with modified hatchbacks. It doesn't apply to my daughter."

🔥 What the data says

The composition of the own-car group undercuts the stereotype: 57.0% of the drivers with their own car were female, a higher share than in the family-car group (51.9%) and higher than in the cohort overall (54.6%). Having your own car at seventeen is not a male phenomenon; in this cohort it was slightly more a female one. And the crash analysis adjusted for sex, so the elevated hazard is not an artefact of who was in which group.

✅ Where it lands

The stereotype fails. One honest boundary, though: the paper does not publish separate crash rates for sons versus daughters with their own cars, so we cannot tell you how the effect splits by sex, and we won't pretend to. What we can say is that the group this finding describes is not a niche of young men. It looks like the ordinary population of young drivers, slightly more female than not.

⚖️ Objection three

"Cause and effect are backwards. Risk-taking kids want their own car and get one. The car is a symptom, not a cause."

🔥 What the data says

This is the strongest objection, and the researchers saw it coming. Own-car drivers were indeed a riskier bunch on paper: 36.4% scored as high risk-takers against 28.2% of family-car drivers, they scored higher on sensation seeking, and 15.2% showed hazardous drinking on the AUDIT screen against 10.9%. All of that, plus drug use, risk perception, self-rated ability and professional lessons, went into the adjustment. The elevated crash rate survived every one of those controls.

✅ Where it lands

Weakened, not destroyed. Statistical adjustment can only account for what was measured, and no questionnaire captures everything about a young person's appetite for risk. Some residual confounding is possible, and an honest reading keeps that door open. But the objection has to explain why the pattern held after adjusting for the very traits it invokes, and why the same signal appears in a separate US cohort and in this cohort's own earlier two-year follow-up. The simplest reading left standing is that the car itself, or rather what having exclusive access to it changes about how driving happens, carries risk of its own.

Section 4

The mechanism: what asking for the keys actually does

If it isn't mileage and it isn't just personality, what is it? The researchers' explanation is the most useful part of the paper for a parent, because it points at something you control.

Think about what happens, mechanically, when a young driver has to borrow the family car. They have to ask. The moment they ask, several things occur that nobody planned as a safety system but that function as one. The trip has a stated purpose: you know, at least roughly, where they're going and why. The timing gets negotiated: "have it back by eleven" quietly removes the highest-risk late-night hours from the table. You see them before they drive: tiredness, mood, and whether they've been drinking are all briefly on display in the kitchen. And because the car is shared, the default answer to "will you drive us all?" is harder to give: research the authors cite suggests sharing a family vehicle may reduce the chance of carrying carloads of peers, one of the best-documented multipliers of young-driver risk.

Hand over a car of their own and every one of those checkpoints disappears at once. Not because anyone decided to remove supervision, but because the structure that produced the supervision is gone. The studies the authors draw on (Cammisa et al., 1999; Williams et al., 2006) found exactly this: parents of teens with exclusive access to a vehicle find it harder to set driving limits, and monitoring drops during precisely the months when driving habits are being formed. There is a second, blunter mechanism in the same literature: cars owned by teenagers tend to be smaller and older than family cars, which means less crash protection and fewer of the safety systems that prevent or soften collisions.

The shared car is not safer because of anything in the machine. It is safer because of the conversation wrapped around every trip. The protection is the negotiation, not the metal.
Our summary of the mechanism described in Chen et al. (2024), drawing on Cammisa (1999) and Williams (2006)

This reframing matters because it changes what the finding asks of you. Read naively, the study says "don't buy the car". Read properly, it says the shared car was doing a job you didn't know it was doing, and if you buy the car, that job doesn't do itself any more. Someone has to do it deliberately. The whole of the decision section below is about how. It also connects to a pattern that runs through everything we know about crash causation: the danger in driving is rarely the machinery and nearly always the human context around it, a theme we examine at length in why drivers really crash.

💡

The test to apply: before the first car arrives, ask what currently limits your teenager's riskiest driving: late nights, carloads of friends, driving tired or upset. If the honest answer is "the fact that they have to ask us for the car", then the car purchase removes your entire safety system in one transaction, and you need to rebuild it in another form on the same day.

Section 5

What this means in Ireland

The study is Australian. Ireland is not. Before you carry the finding across, it's worth being precise about what travels and what doesn't.

🧭 Whose interpretation is this?

Everything in this section is our translation for Irish families, not something the paper says. Chen and colleagues studied New South Wales and drew no conclusions about Ireland. We think the mechanism travels well, for reasons set out below, but you should know where their evidence stops and our professional judgement starts.

The first thing to translate is the licence system itself. The drivers in this study were on NSW provisional licences, which at the time came with real teeth: an effectively zero alcohol limit (cut to zero outright mid-study, in 2004) and a 90 km/h speed cap, among other rules. An Irish novice driver on N plates keeps the learner's 20mg drink-driving limit for the first two years of their full licence, rather than the 50mg limit that applies to established drivers, but faces no novice speed cap, no passenger restriction and no night-time curfew. That comparison should give an Irish parent pause, and it points in an uncomfortable direction: the doubled serious-crash rate in year one was measured in a system with more legal protection wrapped around new drivers than ours has. There is no strong reason to expect the own-car effect to be smaller here, and at least one structural reason to worry it could be larger, though we want to be clear that is inference, not measurement.

The second Irish translation concerns the learner phase. In Ireland, every first-time learner completes the 12 EDT lessons with an approved instructor and must drive accompanied by a qualified accompanying driver, someone who has held a full licence for at least two years, until they pass the test. That accompanying-driver structure is, in effect, the negotiation mechanism written into law: someone qualified is in the seat, trips are by arrangement, and driving is supervised by default. We've written about how to use both well, in our guides to EDT lessons and the accompanying-driver rules. The point this study adds is about what happens the week the test is passed: in Ireland, all of that structure vanishes on a single day, and if a car of their own is waiting in the driveway, the drop in oversight could hardly be more abrupt: from a qualified adult in the passenger seat to nothing, overnight. The transition, not the test, is the dangerous moment.

The third translation is about who carries the decision. In NSW as in Ireland, no law tells a family whether to buy a seventeen-year-old a car. This is one of the few major safety levers that sits entirely with parents, which is exactly why we built a dedicated hub for parents of learner drivers, including the family-practice ground rules that this study, in hindsight, vindicates. The gap between what the law requires of a fresh full-licence holder and what is actually safe for them is wide, and family rules are the only thing that fills it. Our guide to teen and novice drivers covers why that first unsupervised year behaves the way it does.

Section 6

The first-car decision, done well

The authors of this study are explicit that they are not telling parents to refuse a car. They are telling parents to make the decision with open eyes. Here is their advice, translated for an Irish driveway.

First, the reason the authors refuse the simple "just say no" reading, because it does them credit. They cite evidence (Ralph, 2018; Porykali et al., 2021) that reliable car access is linked to better education and employment outcomes, particularly for disadvantaged young people, and that outside cities a car can be the safer transport option, not the riskier one. In their own cohort, own-car rates were higher outside the metropolitan area and in less well-off districts: for many families the car is not a luxury, it is how a young person gets to a job or a course. So the question this study poses is not "car or no car". It is "if a car, then how", and on that the authors make four recommendations. The table below sets out their four recommendations, with our Irish reading of each. If you're already budgeting for lessons and tests, a subject we've costed in what failing the driving test costs, the trade-offs will look familiar.

What the authors recommendWhat it looks like in Ireland
1 · The safest car the budget allows. Teen-owned cars skew smaller and older, with less protection exactly where the serious-crash risk is doubled.Check the Euro NCAP rating before anything else about a used car. A five-year-old car with a five-star rating and electronic stability control beats a cheaper, older car with neither. Spend on the safety cage and the electronics, not the engine.
2 · Family rules where the law has none. Restrict passengers and night driving by agreement, even though no Irish law requires it of an N driver.A written or spoken family agreement for year one: no carload of friends without arrangement, agreed limits on late-night driving, and a no-questions-asked lift home as the standing alternative. The serious-crash hazard was at its highest in the first year; that is when the rules earn their keep, and when they can begin to relax.
3 · Feedback, not surveillance. Monitoring apps and telematics that show how the car is actually being driven, used as a basis for conversation.Several Irish insurers offer app-based or telematics policies for young drivers, often with premium discounts for demonstrated safe driving. Used openly and reviewed together, they partially rebuild the visibility that the shared-car negotiation used to provide.
4 · Let the incentives help. The authors call on insurers and regulators to reward demonstrated safe driving with lower premiums and costs.For a family, this one runs downhill anyway: the record your teenager builds in year one, in claims, penalty points and telematics scores, directly prices their insurance for years. Safe driving in year one is one of the better financial investments a young Irish driver can make.

The option nobody advertises: buy later, or share first

There is a fifth option implicit in the study's time curves that deserves to be said plainly. The excess risk is front-loaded: highest in the first months, with serious-crash rates twice the family-car level at year one, fading by year three. That means delay is a genuine safety lever. A family that shares a car for the first six or twelve months after the test, and buys the teenager their own car once the steepest part of the risk curve is behind them, has used the study's finding about as well as it can be used. Nothing about that requires conflict; it requires saying, out loud, that the first year is different, because it measurably is.

⚠️ If the car is already bought

None of this becomes useless the day the car arrives. The mechanism is oversight, and oversight can be rebuilt around an owned car: the year-one agreement on passengers and nights, the shared review of a telematics app, and the habit of knowing roughly where the car is going and when it's back. It costs more attention than the old ask-for-the-keys system, precisely because that system came free. But it is the same protection by other means.

Section 7

What this study cannot tell you

We put our own claims on trial on this site, and a study we like gets no exemption. Here is where the evidence is genuinely limited, stated as plainly as the headline numbers were.

🧪 The honest small print

It is observational. Nobody randomly assigned cars to teenagers, and nobody ever will. The adjustment for driving hours, risk-taking, sensation seeking, alcohol and the rest is thorough, but adjustment can only cover what was measured. Some unmeasured difference between own-car and family-car households could account for part of the effect.

Car access was measured once. Everyone was classified by their answer at baseline, in 2003-04. A driver who shared a family car at recruitment and bought their own six months later stays in the "shared" group for all 13 years, and vice versa. If anything, that kind of drift usually blurs a real difference rather than inventing one, but the paper cannot track it.

Access is not ownership, and nobody asked who paid. The question was about regular access to one's own car, not whether parents bought it, the teenager saved for it, or it was inherited from an aunt. This study cannot separate those, so it cannot tell you whether who pays changes anything.

It is Australian, and it is not recent. The cohort was recruited in 2003-04 in New South Wales, under a provisional-licence system with a zero alcohol limit and a 90 km/h cap that Ireland does not mirror. Cars, phones and graduated licensing have all changed since. The mechanism, parental oversight dissolving when exclusive access arrives, is not obviously era-specific, but the exact numbers should be carried across decades and hemispheres loosely, not literally.

Follow-up was up to 13 years, not 13 years for everyone. And some crashes are invisible to the records: anything unreported to police, treated without admission, or occurring outside the state. The linkage also carried a small false-positive rate, estimated at 0.5%.

Some estimates are wide. At the very start of follow-up, the model produces an almost 15-fold serious-crash hazard for own-car drivers, but with a confidence interval running from 1.4 to 158. An interval that wide is a direction, not a number, which is why this guide leads with the year-one figures, where the estimates are firm.

What survives all of that is the part we've built this guide on: a large, prospective, record-linked cohort in which own-car drivers crashed more, most sharply in the first year, with the pattern intact after adjusting for the obvious alternative explanations, and consistent with independent findings from other countries. That is not proof in the mathematical sense. It is about as good as evidence on this question is ever likely to get.

Section 8

Our verdict

The final verdict

Should you buy your teenager their own car? The evidence does not say no, and neither do we. It says something more demanding: this decision deserves the same seriousness you gave to choosing their school, because it shapes the riskiest year of their driving life in ways this study could count. A car of their own, handed over at the moment supervision ends, removes an invisible safety system, the negotiation around every borrowed trip, exactly when the serious-crash rate for own-car drivers was found to be roughly double.

The decision has more than two settings. Share the family car through the steepest months. Or buy the car and rebuild the oversight deliberately: the safest car the budget allows, a year-one agreement on passengers and late nights, feedback you both can see. What the evidence most strongly warns against is the version most families drift into by default, full independence, day one, no structure. The study could not measure family rules directly; what it followed for 13 years was own-car access against shared access, and it was the own-car group that filled the hospital records.

Sources & further reading

References

  1. Chen, H.-Y., Möller, H., Senserrick, T., Rogers, K., Cullen, P. & Ivers, R. (2024). "Young drivers' early access to their own car and crash risk into early adulthood: Findings from the DRIVE study." Accident Analysis & Prevention 199, 107516. The primary source for every number in this guide. https://doi.org/10.1016/j.aap.2024.107516
  2. Cammisa, M. X., Williams, A. F. & Leaf, W. A. (1999). "Vehicles driven by teenagers in four states." Journal of Safety Research 30(1), 25-30. Teen-owned vehicles skew smaller and older; parents find limit-setting harder with exclusive access. As cited in Chen et al. (2024).
  3. Williams, A. F., Leaf, W. A., Simons-Morton, B. G. & Hartos, J. L. (2006). "Vehicles driven by teenagers in their first year of licensure." Traffic Injury Prevention 7(1), 23-30; and companion paper in Journal of Safety Research 37(3), 221-226. Less parental monitoring with vehicle ownership during the habit-forming first year. As cited in Chen et al. (2024).
  4. Garcia-Espana, J. F., Ginsburg, K. R., Durbin, D. R., Elliott, M. R. & Winston, F. K. (2009). "Primary access to vehicles increases risky teen driving behaviors and crashes: national perspective." Pediatrics 124(4), 1069-1075. The US finding (based on self-reported crashes) that the own-car effect survives adjustment for driving more. As cited in Chen et al. (2024).
  5. Ralph, K. M. (2018). "Childhood car access: long-term consequences for education, employment, and earnings." Journal of Planning Education and Research. The equity side of the ledger: car access is linked to better life outcomes. As cited in Chen et al. (2024).
  6. Porykali, B., Cullen, P., Hunter, K. et al. (2021). "The road beyond licensing: the impact of a driver licensing support program on employment outcomes for Aboriginal and Torres Strait Islander Australians." BMC Public Health 21(1). Licensing and access as a route to employment. As cited in Chen et al. (2024).
  7. Gershon, P., Ehsani, J., Zhu, C. et al. (2018). "Vehicle ownership and other predictors of teenagers risky driving behavior: evidence from a naturalistic driving study." Accident Analysis & Prevention 118, 96-101. Sharing a family vehicle and reduced peer carriage. As cited in Chen et al. (2024).

Related on this site: For parents of learner drivers · Teen & novice drivers · Young & novice drivers: the evidence · Why drivers really crash · EDT lessons explained · Accompanying-driver rules · The cost of failing the test · Driving Science hub