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Denmark paid teenagers real money to reveal their patience, then watched it pick their degree

A CEBI-led PNAS study links incentivised money choices by Danish 18-year-olds to the programs they later applied for. Ten ranks more patience came with almost 1.5 extra years of schooling.

The Scientist · Science desk

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What happened

  • An international study led by researchers at CEBI, the Danish Center for Economic Behavior and Inequality, was published in PNAS.
  • It invited Danish 18- and 19-year-olds to an incentivized online experiment in 2018, timed to just before they chose a higher education program.
  • Responses were then matched in the national registers to the applications actually filed, covering more than 3,000 people across 76 programs.
  • More patient participants were significantly more likely to apply for longer programs with steeper earnings growth.

Compiled by The ScientistSomething wrong?How this is made

Why it matters

  • capability Because the preference was priced before the application was filed, it can serve as an input to guidance and forecasting rather than being inferred backwards from the choice it is supposed to explain.
  • constraint If risk-averse applicants systematically pick low-variance programs, program-level earnings statistics partly measure who applied, which weakens their use as a scorecard for the program itself.
  • contradiction The invited pool and the participation rate as summarised cannot both produce a 3,000-plus analysis sample, so the selection base a reader needs to judge generalisability is not yet visible.
  • precedent The method is portable to any country with admissions registers, and until someone repeats it, one Danish cohort from one year will be doing duty as the general case.

The coefficient from Claus Thustrup Kreiner is the one to sit with: applicants ranked 1 to 100 for patience, with 10 ranks of movement associated with almost 1.5 more years of education [11]. Read straight across the whole scale, that implies about 15 years between the least and most patient applicant [20], which no realistic menu of programs can supply. The two programs the write-up uses to illustrate its point, five-year economics and three-year physiotherapy, sit two years apart [16]. So the relationship is either local to part of the distribution, or the linear phrasing is flattering an estimate that bends. The account does not say which, and that matters to anyone who wants to use the number rather than admire it.

The earnings side is where sorting compounds. Economics applicants in the sample go on to average annual earnings growth of 11.5% between ages 20 and 45 [13]; physiotherapy applicants, 6.3% [14]. Run both across the 25 years the window covers and the first path multiplies starting earnings roughly 15-fold against roughly 4.6-fold, a ratio of about 3.3 [17]. Growth rates are not levels, so this says nothing about salaries at 45. It says how much distance one step across the program menu accumulates when the step is held for a career.

Risk appetite sorts on a different axis. More risk-averse participants were likelier to apply to programs with more predictable graduate earnings, meaning both a lower chance of ending up with low earnings and a narrower gap between the top and bottom earners from that program [12]. Physiotherapy carries a 7.1% low-earnings risk against economics at 3.4% [13][14], about twice as high [18]. The two measured traits are therefore not one ambition factor under two names: patience tracks duration and slope, risk aversion tracks spread.

Then there is the size of the lever. Kristoffer B. Hvidberg's framing is that theory has long predicted preferences shape educational investment, and the novelty is measuring it directly against the programs people actually applied for [1][2]. The experiment paid one randomly selected decision per person, averaging around DKK 250 by MobilePay [7], so choices over a few hundred kroner are being asked to predict a choice worth decades. Soren Leth-Petersen's defence is that the incentive is exactly what separates a genuine read on patience from a survey correlation [3]. The harder evidence is the control set: with school grades and parental education and income included, the authors report surprise at how much explanatory power the two preference measures retained [15]. That residual is the finding. The rest is infrastructure built to make it believable.

What to watch

  • Whether the published PNAS paper reports the full invited sample and the profile of non-responders, which sets how far the estimate travels beyond the third who logged on.
  • Whether the same measured preferences predict completion and realised earnings, not just application, once the 2018 cohort is deep enough into the registers.
  • Whether a replication in another country with admissions registers reproduces the patience-to-duration coefficient at a similar size.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence58
Adoption
Insufficient
Hype gap+18
Incentives55
Confidence54
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Kristoffer B. Hvidberg, associate professor at Aarhus University and CEBI, says economic theory has long predicted that how patient a person is, and how much risk they will take, should shape how they invest in their own education.

    ReportedSupportedSource: Kristoffer B. Hvidberg, Aarhus University and CEBI2 sources— create a free account to open themView cited source
  2. [2]

    Hvidberg says what is new is showing this directly, using real choices in experiments involving real money, linked to Ministry of Higher Education and Science data on which programs people actually apply for.

    ReportedSupportedSource: Kristoffer B. Hvidberg2 sources— create a free account to open themView cited source
  3. [3]

    Soren Leth-Petersen, professor at the Department of Economics and CEBI, says this kind of incentivized, large-scale experiment linked to real educational choices has not been done before, and is what lets the researchers move beyond correlations in survey data to a genuine read on how patient or risk-tolerant someone is.

    ReportedSupportedSource: Soren Leth-Petersen, Department of Economics and CEBI2 sources— create a free account to open themView cited source

Sources

1 independent publisher whose own reporting we read for this story.

  1. phys.org

    1 article · August 21, 2026

    Patience predicts longer education paths and faster earnings growth, real-money experiment finds

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