Twenty years of sustained minimum-wage rises in Hungary produced one of the region's clearest compression stories at the bottom of the hourly-pay ladder. And yet, annual take-home pay at the low end barely moved. A new study from researchers at KRTK KTI and ELTE, published in the Journal of Macroeconomics, documents a pattern that should sit uncomfortably with any HR leader running payroll in Hungary: as the wage floor climbed, employers reported fewer hours for the workers most exposed to it.

The implication is uncomfortable but operationally important. Headline hourly gains may mask a quiet migration of real working time into the shadow economy, which distorts benchmarking, retention diagnostics and compliance signals across an entire workforce segment.

What the KRTK/ELTE study actually measured

Boza István, Pető Rita and Neubrandt Martin analysed a 50% random sample of the Hungarian social-security-registered population, restricted to employees aged 25 to 55, across the 2004 to 2021 period. The dataset sits in the KRTK Databank and covers roughly two decades of administrative wage records. Neubrandt is also a PhD student at Corvinus University Budapest, and the work was supported by the Hungarian National Research, Development and Innovation Office's STARTING grant (149432).

The topline finding is stark. The P90 to P10 earnings ratio stayed at roughly ten times across the full 2004 to 2021 window. In the authors' own words: “A felső tized határa és az alsó tized határa között a teljes időszakban nagyjából 10-szeres különbséget találunk.” Loosely: across the whole period, the gap between the top-decile and bottom-decile thresholds stayed at around ten times. Real wages grew. The minimum wage rose repeatedly. The distance between top and bottom did not close on an annual basis.

Hourly compression, annual stagnation

The most operationally relevant finding for HR is the split between measures. Annual and monthly earnings inequality barely moved, but hourly-wages inequality dropped significantly, coinciding with the larger minimum-wage and guaranteed wage-minimum increases. The guaranteed wage minimum was introduced in 2006, and both wage floors were raised by roughly 15 to 25% in 2012 and again in 2017.

The authors put it plainly: “Miközben a jelentős minimálbér-emelések hozzájárulhattak az órabérek közötti egyenlőtlenség csökkenéséhez, főként az alacsony keresőek átlagos bejelentett munkaideje rövidült.” In substance: while sizeable minimum-wage increases may have narrowed hourly inequality, it was mainly the average reported working time of low earners that shrank. If hours fall in step with hourly floors, annual pay stays flat. That is exactly what the data shows.

The part-time reporting shift, especially among men

Among men, the share of workers reported as working 20 hours a week or less nearly tripled by 2021 compared with the early 2000s. That is not a marginal reclassification. It is a structural change in how low-wage labour gets recorded on the books.

The researchers name the mechanism directly: “Elképzelhető, hogy a növekvő minimálbérek hatására papíron olyanok is részmunkaidőbe kerültek át, akik a valóságban, immár a szürkegazdaságban továbbra is teljes munkaidőben dolgoztak.” The plain reading: rising minimum wages may have pushed some workers onto part-time contracts on paper while they continued to work full time in the shadow economy. For HR teams inheriting or auditing legacy payroll structures, this is the pattern to look for. On-paper part-time growth concentrated at the bottom of the earnings distribution, without a matching productivity or demand shift, is a signal worth investigating rather than filing under “flexible working arrangements.”

Earnings inequality did rise temporarily during the 2008 to 2010 crisis before returning to earlier levels for both sexes. Among women, a distinct pattern appeared only after 2016: a downward trend at the top of the earnings distribution combined with rising inequality at the bottom. The gender split matters when HR planners build retention models by segment.

Where the dispersion actually lives

The study decomposes hourly-wage dispersion into worker effects, employer effects and sorting. Persistent differences between workers explain about 33 to 36% of hourly-wage dispersion. Differences between employers account for 17 to 22%. Wage sorting, meaning high-potential workers concentrating at higher-paying firms, accounts for roughly one-fifth of Hungarian wage inequality, a share considered high internationally.

Three implications for workforce strategy sit inside that decomposition. First, employer identity carries measurable weight, roughly one euro of every five in wage variation traces to which firm employs a worker, not just who the worker is. Employer-brand and pay-band positioning are not soft levers; they show up in the data. Second, high sorting means top talent already clusters in higher-paying firms, so any firm trying to move up the pay ladder must expect that new hires arriving from lower-paying competitors bring lower baseline productivity signals with them. Third, worker-level fixed differences do most of the work, which puts training, progression and internal mobility programmes at the centre of any real narrowing effort.

Implications for HR and payroll leadership

The compliance angle is the most immediate one. If part-time reporting has structurally tripled among low-earning men without a matching demand story, payroll audits inside affected sectors (retail, hospitality, construction, low-margin services) should test whether declared hours match observed operational rosters. That is a labour code question as much as a payroll one, and it is a defensible line of internal inquiry regardless of jurisdiction.

The retention angle is the second one. If your low-wage segment's annual take-home has been flat for a decade even though hourly floors rose, headline pay-band adjustments will not solve the retention problem you may be diagnosing. The lever is hours reliability and total annual compensation, not the hourly rate on the contract.

The benchmarking angle is the third. Cross-country wage comparisons that rely on hourly measures will overstate the real progress at the bottom of the Hungarian distribution. HR teams inside multinational structures making pay-parity decisions across EU sites should look at both hourly and annual measures, and treat any gap between the two as a diagnostic signal rather than a rounding error. The same caution applies to any pay-transparency framework that reports only hourly bands.

What to do with this next quarter

Three concrete moves worth putting on the agenda. Pull a five-year internal series on average reported weekly hours for your bottom-quartile earners and check whether the trend line bends downward around 2012 and 2017, the years of the largest wage-floor increases. If it does, the KRTK/ELTE pattern is running inside your own workforce. Cross-reference reported hours against operational data, shift rosters, badge-in logs, project-time systems, to test whether reported and worked hours have diverged. This is straightforward to do and unusual to have already done.

Second, revisit total-compensation reporting for the bottom two deciles. If the annual figure has been flat while hourly has risen, that is the story your retention analytics need to reflect. Reporting hourly gains as workforce progress, when annual take-home has not moved, is a signal-quality problem for anyone using pay data to justify workforce investment.

Third, apply the same lens to any remote work and flexible-arrangement rollouts. If a shift to part-time or reduced-hours contracts is administratively driven rather than worker-initiated, it will show up in the same statistical shape the KRTK/ELTE authors describe, and it will erode the retention gains that flexible policies are supposed to deliver.

The bottom line

Hungary's twenty-year minimum-wage story is a cautionary case study for any HR leader who treats headline wage-floor rises as a proxy for real progress at the bottom of the distribution. The KRTK/ELTE evidence suggests the compression happened in the hourly numerator while the denominator, hours worked, quietly adjusted downward on paper. Annual pay at the bottom barely moved. That is not an argument against minimum-wage policy. It is an argument for measuring the outcomes that actually reach a worker's household, and for HR teams to hold themselves to the same standard.