Skripsi
DETERMINAN PERMINTAAN ASURANSI SYARIAH DI INDONESIA TAHUN 2004-2023
This study aims to analyze the effects of GDP per capita, inflation, Islamic insurance premiums, financial sector growth, education level, and dependency ratio on the demand for Islamic insurance in Indonesia. The data used in this study are time series data from 2004 to 2023. The analytical method employed is multiple linear regression, accompanied by statistical tests and classical assumption tests. The results show that GDP per capita, dependency ratio, and Islamic insurance premiums have a significant positive effect on the demand for Islamic insurance in Indonesia. Meanwhile, financial sector growth, education level, and inflation have a positive but not significant effect on the demand for Islamic insurance in Indonesia.
Inventory Code | Barcode | Call Number | Location | Status |
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2507004230 | T179250 | T1792502025 | Central Library (REFERENCE) | Available but not for loan - Not for Loan |
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