The impact of geographical factors on churn prediction : an application to an insurance company in Madrid's urban area
Miguel Ángel de la Llave, Fernando A. López and Ana Angulo
| Year of publication: |
2019
|
|---|---|
| Authors: | Llave, Miguel Ángel de la ; López, Fernando A. ; Angulo, Ana M. |
| Published in: |
Scandinavian actuarial journal. - Stockholm : Taylor & Francis, ISSN 1651-2030, ZDB-ID 2029609-5. - Vol. 2019.2019, 3, p. 188-203
|
| Subject: | churn prediction | insurance | Lapse prediction | Madrid | spatial autocorrelation | spatial probit model | Prognoseverfahren | Forecasting model | Versicherung | Insurance | Probit-Modell | Probit model | Theorie | Theory | Räumliche Interaktion | Spatial interaction | Autokorrelation | Autocorrelation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/03461238.2018.1531781 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012194946