scholarly journals Crop insurance premium based on proportional hazard transform

2019 ◽  
Author(s):  
T. A. S. Nur ◽  
S. F. Sari ◽  
S. Mardiyati
Keyword(s):  
Crop Insurance ◽  
Insurance Premium ◽  
Proportional Hazard

scholarly journals Estimation of the Amount of Rice Crop Insurance Premium in the Citarum River Basin

2020 ◽  
Vol 1 (1) ◽  
pp. 33-39
Author(s):  
Nurfadhlina Abdul Hali ◽  
Muhammad Faiz Rifqi ◽  
Endang Soeryana
Keyword(s):  
River Basin ◽  
Crop Insurance ◽  
Crop Productivity ◽  
Insurance Premium ◽  
Rice Crop ◽  
Normal Curve ◽  
Mathematical Methods ◽  
Insurance Premiums ◽  
Productivity Data ◽  
Curve Method

Determination of crop insurance premiums in the Citarum River basin can be calculated by mathematical methods. One of the methods of calculation of the premium that is the normal curve methods with data on crop productivity is assumed to be Gaussian. In this thesis are discussed in crop insurance premium calculations Areas Citarum River basin West Bandung Regency with normal curve method with a significant level of coverage. These methods are used because data on crop productivity gained Gaussian. Normal curve method is used without using the assumption of coefficients of variation, and try for some level of coverage. Application materials used are rice crop productivity data in the Citarum River basin of West Bandung Regency in 2008-2014. This research resulted in the value of the rice crop insurance premiums for farmers in the area based on a certain level of coverage.

scholarly journals Crop Insurance Premium Design Based on Survival Analysis Model

2010 ◽  
Vol 1 ◽  
pp. 67-75 ◽  
Author(s):  
Erda Wang ◽  
Yang Yu ◽  
Bertis B. Little ◽  
Zuozhi Li
Keyword(s):  
Survival Analysis ◽  
Crop Insurance ◽  
Insurance Premium ◽  
Analysis Model

scholarly journals Evaluating Farm-Level Crop Insurance Demand in China: A Double-Bounded Dichotomous Approach

2016 ◽  
Vol 8 (3) ◽  
pp. 10
Author(s):  
Ruojin Zhang ◽  
Dan Fan
Keyword(s):  
Crop Insurance ◽  
Developed Countries ◽  
Insurance Premium ◽  
Likelihood Method ◽  
Insurance Demand ◽  
Agricultural Insurance ◽  
Farm Level ◽  
Adoption Decisions ◽  
Subsidy Program ◽  
Ministry Of Finance

<p>In 2007 the Chinese Ministry of Finance (CMF) approved the pilot agricultural insurance subsidy program, which tremendously promoted the growth of the agricultural insurance market. However the insurance adoption rate is still low comparing to that of developed countries. The main objective of this paper is to investigate factors most influence growers’ crop insurance adoption decisions. To this end, we adopt a double-bounded dichotomous choice (DBDC) experiment. This bidding experiment is conducted through extensive in-person interviews with over 300 rural households in west China, Szechwan province. By using the maximize likelihood method we empirically estimate the effects of factors such as landholding, income and farming experience on the farm-level crop insurance demand. Results indicate that the majority (53 per cent) of rice growers are willing to pay a high crop insurance premium above ¥10 ($ 1.7). On the other side, about 23 per cent of growers value the crop insurance below ¥2 ($ 0.34). As expected, the effects of landholding, education and income are all positive and statistically significant. However, household size and farming experience adversely affect the insurance adoption decisions.</p>

scholarly journals Crop Insurance Premium Ratemaking Based on Survey Data: A Case Study from Dingxing County, China

2015 ◽  
Vol 6 (3) ◽  
pp. 207-215 ◽  
Author(s):  
Xingming Zhang ◽  
Weixia Yin ◽  
Jun Wang ◽  
Tao Ye ◽  
Jintao Zhao ◽  
...  
Keyword(s):  
Survey Data ◽  
Crop Insurance ◽  
Insurance Premium

scholarly journals An Empirical Study to Determine Crop Insurance Premium Using Survival Analysis

2021 ◽  
Vol 1752 (1) ◽  
pp. 012023
Author(s):  
P Hasanah ◽  
M Azka ◽  
R Herliansyah ◽  
N L Payung
Keyword(s):  
Survival Analysis ◽  
Empirical Study ◽  
Crop Insurance ◽  
Insurance Premium

scholarly journals Analisis Premi Asuransi Jiwa Menggunakan Model Cox Proportional Hazard

2019 ◽  
Vol 1 (2) ◽  
pp. 88
Author(s):  
Firda Anisa Fajarini ◽  
Mohamat Fatekurohman
Keyword(s):  
Survival Analysis ◽  
Life Insurance ◽  
Hazard Model ◽  
Insurance Premium ◽  
Cox Proportional Hazard Model ◽  
Proportional Hazard ◽  
Proportional Hazard Model ◽  
Final Model ◽  
Customer Data ◽  
Cox Proportional Hazard

<p>Cox proportional hazard model is a regression model that is used to see the factors that cause an event. The survival analysis used in this research is the period of time the client is able to pay the life insurance premium using Cox proportional hazard model with Breslow method.The purpose of this research is to know how sex, age, insured money, job, method of payment of premium, premium, and type of product can influence the level of ability of client to make payment of life insurance premium based on customer data from PT. BRI Life Insurance Branch of Jember in 2007.The result of this research is the final model of Cox proportional hazard obtained from several variables which have significant influence with simultaneous and partial significance test is the variable of insured money (<em>X<sub>3</sub></em>), variable of payment method of premium (<em>X<sub>5</sub></em>), premium variable (<em>X<sub>6</sub></em>) , and insurance product variable (<em>X<sub>7</sub></em>) . The four variables are said to have a significant effect on the model, so that the final model of Cox proportional hazard is obtained that consists of the parameter estimation (<em>β</em>) value of each variable</p><p> </p><p><strong>Keywords</strong><strong> : </strong>survival analysis; cox proportional hazard model; breslow method; life insurance.</p>

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