Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2017.1305776
Measuring recent changes of insurance gross premiums distribution using ten inequality measures: case study of Croatia
Drago Jakovčević
Ksenija Dumičić
Mihovil Anđelinović
Sažetak
This paper investigates the extent of gross premium distributions
inequality for life and non-life insurance in Croatia in the period
2000–2012. The number of companies for life insurance was the
same in 2000 and 2012, at 17. The number of non-life insurance
companies varied between 16 and 24, and was 20 at the end of
2012. The Lorenz curve and nine numerical concentration measures
applied mostly show a slight decrease of a moderate concentration
for both types of insurance over time, with only the Rosenbluth index
being an exception, showing a mild increase of concentration. The
concentration of gross premium is slightly stronger for non-life then
for life insurance.
The standard errors of the trend models for the entropy indexes
are smaller, and coefficients of determination are higher for the
quadratic compared to the linear trend models for both types of
insurances, life and non-life. Since the forecasts’ quality measures for
both types of insurance show that the quadratic trend is superior
compared to the simple linear trend model, it was used for short-term
forecasting of the entropy indexes. The quadratic trend model gave
forecasts showing digressive-progressive dynamics for non-life, and
progressive-digressive for life insurance entropy indexes.
Ključne riječi
Insurance gross written premium; measures of inequality; entropy; Rosenbluth index; quadratic trend forecasting; Croatia
Hrčak ID:
182552
URI
Datum izdavanja:
1.12.2017.
Posjeta: 1.221 *