An Empirical Study to Determine Crop Insurance Premium Using Survival Analysis

Hasanah, Primadina; Azka, Muhammad; Herliansyah, Riki; Payung, N. L.

doi:10.1088/1742-6596/1752/1/012023

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…The assumption test used in this study is goodness-of-fit (GOF) using the Schoenfeld residual test. After obtaining the Schoenfeld residual with Equation (1) [31,32],…”

Section: Proportional Hazardmentioning

confidence: 99%

An Estimated Analysis of Willingness to Wait Time to Pay Rice Agricultural Insurance Premiums Using Cox’s Proportional Hazards Model

et al. 2022

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In this paper, we determined the factors that affect the waiting time of rice farmers’ willingness to pay the premium for the Rice Farming Insurance Program (RFIP) using survival analysis. The survival analysis method was carried out using the Cox proportional hazard model with the Efron approach. The case study in this research is rice farmers in Cibungur Village, Parungponteng District, Tasikmalaya Regency. The results of the analysis show that the predictor variables that are significant to the waiting time of rice farmers’ willingness to pay the insurance premium for RFIP are their last education, other occupations, rice production, and farming costs. The results of the research are expected to produce additional information for the government and implementers of rice farming insurance regarding the condition of farmers in the field, so that it can be improved in the future.

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“…The assumption test used in this study is goodness-of-fit (GOF) using the Schoenfeld residual test. After obtaining the Schoenfeld residual with Equation (1) [31,32],…”

Section: Proportional Hazardmentioning

confidence: 99%

An Estimated Analysis of Willingness to Wait Time to Pay Rice Agricultural Insurance Premiums Using Cox’s Proportional Hazards Model

et al. 2022

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An Empirical Study to Determine Rice Insurance Premium

Tạc,

Khai

2023

Perspectives on the Transition Toward Green and Climate Neutral Economies in Asia

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This study aims to develop rice crop insurance services in the Mekong Delta. The premium is a very important element in an insurance policy, and the calculation of the premium requires both science and judgment. Based on the Bayesian empirical reliability theory approach, this chapter proposes an appropriate approach to calculate the premium for rice in the Mekong Delta, using both temporal and spatial aspects of data to increase the efficiency of statistical estimates. The results have calculated important criteria for the calculation of premiums according to the area yield index of the rice insurance contract, such as threshold yields, probable yields, indemnity levels, pure premium rate, and commercial premium rate. This result contributes to the design and charging of more diversified and reasonable crop insurance products.

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An Empirical Study to Determine Crop Insurance Premium Using Survival Analysis

Cited by 2 publications

References 2 publications

An Estimated Analysis of Willingness to Wait Time to Pay Rice Agricultural Insurance Premiums Using Cox’s Proportional Hazards Model

An Estimated Analysis of Willingness to Wait Time to Pay Rice Agricultural Insurance Premiums Using Cox’s Proportional Hazards Model

An Empirical Study to Determine Rice Insurance Premium

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