The Application of S -Curve and Quantile Regression Analysis in the Great China Area Insurance Markets.
| Autor: | Hong-Zheng Li, 李宏政 |
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| Rok vydání: | 2010 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 98 Insurance penetration, the proportion of premium revenue on GDP, represents how much of total income people in the nation spend on insurance, and has been considered a crucial indicator to measure the insurance coverage of one country. Insurance density, the so-called “Premiums per capital”, denotes how much an individual in the nation spend purchasing insurance. Due to the fact that the insurance revenue can be influenced by the population, the economic scales, level of people''s income, and some other factors, the insurance penetration has long been used internationally to measure the developing conditions of the real insurance market in every country. In this paper, from the Swiss Re Bank we obtained the data of the insurance penetration and the insurance density from 2002 to 2008, separating them into three types, the insurance, life insurance and non-life insurance, and analyzed them with ordinary least squares (OLS), quantile regression model and logistic model, identifying whether the relationship between the insurance penetration and GDP per capita is significant, screening the relationship between each quantile, determining whether there exists the S curve relationship, suggested by Enz, between GDP per capita and insurance penetration, and finally ending with the empirical results for testing 4 countries in the Great China Area. The results indicate that under both OLS and quantile regression model, the income shows a significantly positive correlation with penetration, and that the graphics modeled by the logistic model line exactly along the S curve. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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