Case study data for joint modeling of insurance claims and lapsation

The dataset tracks 40,284 insurance clients over five years, between 2010 and 2015, who subscribed to both automobile and homeowners insurance. We have combined information on these customers. First, the characteristics including age, gender or driving experience, among others and dates of renewal f...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Montserrat Guillen, Catalina Bolancé, Edward W. Frees, Emiliano A. Valdez
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Motor insurance Homeowners insurance Customer retention Loyalty Ratemaking Premium Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/3f6ad7b782174831a6bf138b055594c7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3f6ad7b782174831a6bf138b055594c7
record_format	dspace
spelling	oai:doaj.org-article:3f6ad7b782174831a6bf138b055594c72021-12-02T05:01:51ZCase study data for joint modeling of insurance claims and lapsation2352-340910.1016/j.dib.2021.107639https://doaj.org/article/3f6ad7b782174831a6bf138b055594c72021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921009148https://doaj.org/toc/2352-3409The dataset tracks 40,284 insurance clients over five years, between 2010 and 2015, who subscribed to both automobile and homeowners insurance. We have combined information on these customers. First, the characteristics including age, gender or driving experience, among others and dates of renewal for the two types of policies considered here. Note that we have only considered clients corresponding to persons and not commercial firms that can also underwrite home and motor insurance policies. Second, the policy data file for motor vehicle insurance consists of all vehicle insurance coverage including power, driving area or whether there is a second driver that drives the car occasionally. Third, the policy data file for homeowners insurance has information on the property such as value of the building (essentially the value of the home without any furniture, apparel and personal items), location and type of dwelling. Besides these three sources, we have access to data containing information on the number of claims and total cost of those claims per year and per policy type. So, for all policies that are in force, we finally have up to a five year record of the yearly cost of claims in the motor insurance and in the home coverage. If the customer does not renew one of those two policies or both, we do not have more information after this lapse occurs. After summarizing the data, we provide the usual marginal analysis, where we fit regression models using Tweedie distributions for claims and a logistic model for lapse. Data can be used for joint analysis of insurance policyholders with more than one product.Montserrat GuillenCatalina BolancéEdward W. FreesEmiliano A. ValdezElsevierarticleMotor insuranceHomeowners insuranceCustomer retentionLoyaltyRatemakingPremiumComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107639- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Motor insurance Homeowners insurance Customer retention Loyalty Ratemaking Premium Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Motor insurance Homeowners insurance Customer retention Loyalty Ratemaking Premium Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Montserrat Guillen Catalina Bolancé Edward W. Frees Emiliano A. Valdez Case study data for joint modeling of insurance claims and lapsation
description	The dataset tracks 40,284 insurance clients over five years, between 2010 and 2015, who subscribed to both automobile and homeowners insurance. We have combined information on these customers. First, the characteristics including age, gender or driving experience, among others and dates of renewal for the two types of policies considered here. Note that we have only considered clients corresponding to persons and not commercial firms that can also underwrite home and motor insurance policies. Second, the policy data file for motor vehicle insurance consists of all vehicle insurance coverage including power, driving area or whether there is a second driver that drives the car occasionally. Third, the policy data file for homeowners insurance has information on the property such as value of the building (essentially the value of the home without any furniture, apparel and personal items), location and type of dwelling. Besides these three sources, we have access to data containing information on the number of claims and total cost of those claims per year and per policy type. So, for all policies that are in force, we finally have up to a five year record of the yearly cost of claims in the motor insurance and in the home coverage. If the customer does not renew one of those two policies or both, we do not have more information after this lapse occurs. After summarizing the data, we provide the usual marginal analysis, where we fit regression models using Tweedie distributions for claims and a logistic model for lapse. Data can be used for joint analysis of insurance policyholders with more than one product.
format	article
author	Montserrat Guillen Catalina Bolancé Edward W. Frees Emiliano A. Valdez
author_facet	Montserrat Guillen Catalina Bolancé Edward W. Frees Emiliano A. Valdez
author_sort	Montserrat Guillen
title	Case study data for joint modeling of insurance claims and lapsation
title_short	Case study data for joint modeling of insurance claims and lapsation
title_full	Case study data for joint modeling of insurance claims and lapsation
title_fullStr	Case study data for joint modeling of insurance claims and lapsation
title_full_unstemmed	Case study data for joint modeling of insurance claims and lapsation
title_sort	case study data for joint modeling of insurance claims and lapsation
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3f6ad7b782174831a6bf138b055594c7
work_keys_str_mv	AT montserratguillen casestudydataforjointmodelingofinsuranceclaimsandlapsation AT catalinabolance casestudydataforjointmodelingofinsuranceclaimsandlapsation AT edwardwfrees casestudydataforjointmodelingofinsuranceclaimsandlapsation AT emilianoavaldez casestudydataforjointmodelingofinsuranceclaimsandlapsation
_version_	1718400762650820608

Case study data for joint modeling of insurance claims and lapsation

Ejemplares similares