Multivariate Negative Binomial Models for Insurance Claim Counts

Shi, Peng; Valdez, Emiliano A.

doi:10.2139/ssrn.2175226

Cited by 32 publications

(45 citation statements)

References 37 publications

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“…If EðYÞ ¼ VðYÞ, the NB can be estimated using the Poisson model, and the NB model is more general than the Poisson model (Shi & Valdez, 2014). The mean m in the negative binominal model with m variables from the regional factors X p , the labor quality LPC s , and the average construction quality AFAIH s can be estimated by:…”

Section: Eðyþ ¼ M and Vðyþmentioning

confidence: 99%

Do regional factors matter? Determinants of hotel industry performance in China

Yang

Cai

2016

Tourism Management

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h i g h l i g h t sRegional factors affect ARR and rooms rented. Labor quality and Tourism Professional Specialization mainly determine RevPAR. ARR and rooms rented offer information about regional impacts on the hotel industry. Internal and external determinants vary by star designation. Regional factors' sophistication increases with higher star designations. a r t i c l e i n f o b s t r a c tThe hotel industry is deeply embedded in local regional conditions, though the influence of regional factors is seldom investigated. Three key hotel industry metrics, Revenue per Available Room (RevPAR), Average Room Rate (ARR), and rooms rented, were examined for their determinants using ordinary least squares and negative binomial regression models on key endogenous and exogenous (regional) factors, including Destination Attractiveness and Capacity, Business and Commercial Environment, Image and Openness, and Tourism Professional Specialization. Using China as a case study, and at different hotel star designations (2-to 5-star hotels), the results show that RevPAR is determined mainly by labor quality and Tourism Professional Specialization. Particularly, regional factors significantly affect ARR and rooms rented. The influence and sophistication of regional factors increases with higher star designations. This paper highlights links between the hospitality industry and regional economic development, which should be considered by both the hotel industry and tourism policy makers.

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Section: Eðyþ ¼ M and Vðyþmentioning

confidence: 99%

Do regional factors matter? Determinants of hotel industry performance in China

Yang

Cai

2016

Tourism Management

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“…Shi and Valdez (2014) considered some alternative multivariate models based on the NB and copulae that allow for a generalization of the dependence structure. Alternatively, we shall study a different method for generalizing the dependence structure by using the Sarmanov distribution.…”

Section: Multivariate Casementioning

confidence: 99%

Multivariate Count Data Generalized Linear Models: Three Approaches Based on the Sarmanov Distribution

Bolancé

Vernic

2017

SSRN Journal

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“…It was first introduced by [53] and has attracted considerable attention in theoretical and application aspects in recent years. In insurance data analysis, copula-based approaches are used to model the dependence between different claim types [10,54], between accident date and reported date [23], between policy coverage and number of claims [17,18,55], between claim counts in successive periods [12,13], between claims in different business lines [56,57], between number 398 of claims and average claim size [4], and between time-to-claim and claim size [8].…”

Section: Dependence In Warranty Data Analysismentioning

confidence: 99%

An Overview of Approaches to Insurance Data Analysis and Suggestions for Warranty Data Analysis

Luo¹,

Wu²

2016

ENG

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Warranty shares similarities with insurance in many aspects. Research on insurance data analysis has attracted much more attention than on warranty data analysis. This paper provides a general comparison between warranty and insurance in terms of their coverages, policies and data collection. It then reviews existing approaches to insurance data analysis with regard to modelling of claim frequency, modelling of claim size and policy pricing. Some recent patents relating statistical models are also discussed. The paper concludes with suggestions for improving warranty data analysis.

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Multivariate Negative Binomial Models for Insurance Claim Counts

Cited by 32 publications

References 37 publications

Do regional factors matter? Determinants of hotel industry performance in China

Do regional factors matter? Determinants of hotel industry performance in China

Multivariate Count Data Generalized Linear Models: Three Approaches Based on the Sarmanov Distribution

An Overview of Approaches to Insurance Data Analysis and Suggestions for Warranty Data Analysis

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