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Data for economic and demographic determinants of premium reserve in the Western Balkans

<p>All data are expressed as a percentage, except for GDP per capita, net wages, total population, life expectancy, expected years of education,&nbsp;average years of schooling, life and non-life premium, total premium, bank deposits, financial assets and deposits of insurance companies, which are expressed in absolute terms.</p> <p><strong>Source of data: </strong></p> <ol> <li>Data on Life and Non-life premium, Total (gross) premium, Premium reserve data, Financial assets and Deposits of insurance companies&nbsp;are collected from the official reports of insurance supervision agencies: Insurance Supervision Agency in Montenegro (<a href="http://www.ano.me/en/">http://www.ano.me/en/</a>), Croatian Financial Services Supervisory Agency (<a href="https://www.hanfa.hr/en/">https://www.hanfa.hr/en/</a>), National Bank of Serbia (<a href="https://www.nbs.rs/internet/english/">https://www.nbs.rs/internet/english/</a>, Insurance Supervision Agency of North Macedonia (<a href="http://aso.mk/en/?lang=en">http://aso.mk/en/?lang=en</a>) and Financial Supervisory Authority in Albania (<a href="https://amf.gov.al/">https://amf.gov.al/</a>).</li> <li>The economic indicators for the observed Western Balkan countries (GDP per capita, unemployment rate, inflation rate, net earnings and average effective deposit interest rate) are taken from the website Eurostat (<a href="https://ec.europa.eu/eurostat">https://ec.europa.eu/eurostat</a>) and Statista (<a href="https://www.statista.com/">https://www.statista.com/</a>)&nbsp;</li> <li>All demographic indicators, except for the expected and average years of schooling and education index, were collected from the Eurostat and UNDP database (<a href="https://ec.europa.eu/eurostat/data/database">https://ec.europa.eu/eurostat/data/database</a>; &nbsp;<a href="http://hdr.undp.org/en/countries/profiles/">http://hdr.undp.org/en/countries/profiles/</a> ).</li> <li>Data on expected and average school years were taken from the UNESCO Institute for Statistics (<a href="http://uis.unesco.org">http://uis.unesco.org</a>) , while the education index was obtained as a result of a calculation based on a formula published on the UNDP website (<a href="http://hdr.undp.org/en/content/education-index">http://hdr.undp.org/en/content/education-index</a>).</li> <li>Data on bond yield were collected from the website of European Commission (<a href="https://ec.europa.eu/">https://ec.europa.eu/</a>), i.e. from EC reports - EU Candidate Countries&rsquo; &amp; Potential Candidates&rsquo; Economic Quarterly (CCEQ), except two data for Serbia (2006 and 2007) which were estimated by&nbsp;Makima extrapolation.</li> <li>Bank deposits data are taken from the official reports of banks&#39; regulatory institutions: Central bank of Montenegro (<a href="https://www.cbcg.me/en">https://www.cbcg.me/en</a>), National bank of Serbia (<a href="https://www.nbs.rs/en/indeks/">https://www.nbs.rs/en/indeks/</a>), Croatian National bank (<a href="https://www.hnb.hr/en/home">https://www.hnb.hr/en/home</a>), National bank of the Republic of North Macedonia (<a href="https://www.nbrm.mk/pocetna-en.nspx">https://www.nbrm.mk/pocetna-en.nspx</a>); Bank of Albania (<a href="https://www.bankofalbania.org/home/">https://www.bankofalbania.org/home/</a>)</li> </ol> <p><strong>Description of columns:</strong></p> <p><strong>f1-</strong>GDPper capita;<strong> f2- </strong>Unemployment (%); <strong>f3-</strong>Inflation rate (%); <strong>f4-</strong>&nbsp;Net Wages&nbsp;&euro;; <strong>f5-</strong>&nbsp;Deposit&nbsp;rate (%); <strong>f6-</strong> Population; <strong>f7-</strong> Female (%); <strong>f8-</strong> Population &lt;15 (%); <strong>f9-</strong> Population 15-64 (%); <strong>f10-</strong> Dep old (%); <strong>f11-</strong> Dep young (%); <strong>f12-</strong> Urban population (%); <strong>f13-</strong>Life exp. (years); <strong>f14-</strong> Preschool enroll rate (%); <strong>f15-</strong> Elem school enroll rate (%); <strong>f16</strong>-High school enroll rate (%); <strong>f17-</strong> University enroll rate (%); <strong>f18-</strong> Expected years of schooling; <strong>f19-</strong> Avg. years of schooling; <strong>f20</strong>- Education Index (%); <strong>f21-</strong> Fertility rate (number of children to a woman); <strong>f22-</strong> Birth rate (per 1000 inhabitants); <strong>f23-</strong> Health costs (% GDP); <strong>f24-</strong>premium reserve per GDP,<strong>&nbsp;</strong></p> <p>&nbsp;<strong>i1-</strong> life premium &euro;; <strong>i2</strong>- non-life premium &euro;; <strong>i3</strong>- total premium &euro;; <strong>i4</strong>- bond yield (%); <strong>i5a- </strong>bank deposits (&nbsp;national currency);<strong> i5b- </strong>bank deposits &euro;;<strong> i6a-</strong>financial assets in insurance (national currency)<strong>; i6b- </strong>financial assets in insurance &euro;;<strong> i7a- </strong>deposits of insurers (national currency<strong>); i7b &ndash;</strong>deposit of insurers &euro;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

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