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Business cycle sensitivity of Statutory Health Insurance: evidence from the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F24%3A10489518" target="_blank" >RIV/00216208:11230/24:10489518 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=h3KdkFOKKI" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=h3KdkFOKKI</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13561-024-00586-4" target="_blank" >10.1186/s13561-024-00586-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Business cycle sensitivity of Statutory Health Insurance: evidence from the Czech Republic

  • Original language description

    BackgroundThe Statutory Health Insurance scheme is one of two main schemes of health care system financing in Europe. This scheme mainly relies on wage-based contributions from employers and employees and is thus prone to business cycle fluctuations. This turned out to be a problem especially after the 2008 crisis. We estimate the magnitude of the effect of the business cycle on health insurance funds&apos; revenues in the Czech Republic where the health care system financing is based on the Statutory Health Insurance scheme. The relationship between the business cycle and healthcare system&apos;s revenues has not been quantified to this date.MethodsWe use static and lagged regression models to estimate the impact of business cycle on health care system&apos;s revenues. The business cycle is proxied by eight different indicators (nominal GDP, unemployment, industrial production, recession index, business cycle index, GDP gap, consumer price index and consumer expenditure). Using quarterly data from 2000-2017, we examine the effect of business cycle on total revenues and its two main components: the employer-employee contributions and state contributions.ResultsHealth insurance funds&apos; revenues display significant pro-cyclicality, which is mainly driven by employer-employee contributions. Out of all eight business cycle indicators, nominal GDP has the largest effect. In particular, the model estimates that if quarter-over-quarter GDP increases by 1%, then quarter-over-quarter healthcare system&apos;s revenues increase by 0.7% and quarter-over-quarter employer-employee contributions increase by 1.1%. The lagged effect of business cycle on healthcare system&apos;s revenues is smaller in magnitude. State contributions on behalf of economically inactive people do not display a significant relationship with business cycle in the static nor lagged model. The effect is consistent across different business cycle indicators, although the magnitudes of the effect vary.ConclusionThe results show large pro-cyclicality in healthcare system&apos;s revenues in Statutory Health Insurance schemes. Counter-cyclical mechanisms are needed to offset this loss of revenues during economic downturns to ensure sufficient resources in healthcare.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Health Economics Review

  • ISSN

    2191-1991

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    VG - VIRGIN ISLANDS, BRITISH

  • Number of pages

    15

  • Pages from-to

    108

  • UT code for WoS article

    001383488500001

  • EID of the result in the Scopus database

    2-s2.0-85213060420