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  • Search: person:"Renshaw, Arthur"
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Year of publication
Subject
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Mortality 3 Sterblichkeit 3 Forecasting model 2 Prognoseverfahren 2 Cohort analysis 1 Comparison 1 Kohortenanalyse 1 Project management 1 Projektmanagement 1 Theorie 1 Theory 1 USA 1 United States 1 Vergleich 1
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Online availability
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Undetermined 4
Type of publication
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Article 14
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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Undetermined 10 English 4
Author
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Haberman, Steven 14 Renshaw, Arthur 14
Published in...
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Insurance / Mathematics & economics 9 Insurance: Mathematics and Economics 4 Journal of the Royal Statistical Society Series C 1
Source
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OLC EcoSci 5 RePEc 5 ECONIS (ZBW) 4
Showing 1 - 10 of 14
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Modelling and projecting mortality improvement rates using a cohort perspective
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 53 (2013) 1, pp. 150-168
Persistent link: https://www.econbiz.de/10009785411
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Modelling and projecting mortality improvement rates using a cohort perspective
Haberman, Steven; Renshaw, Arthur - In: Insurance: Mathematics and Economics 53 (2013) 1, pp. 150-168
We investigate the feasibility of defining, modelling and projecting of (scaled) mortality improvement rates along cohort years-of-birth, that is, using a cohort perspective. This is in contrast to the approach in the literature which has considered mortality improvement rates that are defined...
Persistent link: https://www.econbiz.de/10010681890
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Modelling and projecting mortality improvement rates using a cohort perspective
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 53 (2013) 1, pp. 150-168
Persistent link: https://www.econbiz.de/10010148976
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Parametric mortality improvement rate modelling and projecting
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 50 (2012) 3, pp. 309-333
Persistent link: https://www.econbiz.de/10009544171
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Parametric mortality improvement rate modelling and projecting
Haberman, Steven; Renshaw, Arthur - In: Insurance: Mathematics and Economics 50 (2012) 3, pp. 309-333
We investigate the modelling of mortality improvement rates and the feasibility of projecting mortality improvement rates (as opposed to projecting mortality rates), using parametric predictor structures that are amenable to simple time series forecasting. This leads to our proposing a parallel...
Persistent link: https://www.econbiz.de/10010561463
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Parametric mortality improvement rate modelling and projecting
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 50 (2012) 3, pp. 309-334
Persistent link: https://www.econbiz.de/10009846322
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A comparative study of parametric mortality projection models
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 48 (2011) 1, pp. 35-55
Persistent link: https://www.econbiz.de/10008839767
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A comparative study of parametric mortality projection models
Haberman, Steven; Renshaw, Arthur - In: Insurance: Mathematics and Economics 48 (2011) 1, pp. 35-55
The relative merits of different parametric models for making life expectancy and annuity value predictions at both pensioner and adult ages are investigated. This study builds on current published research and considers recent model enhancements and the extent to which these enhancements...
Persistent link: https://www.econbiz.de/10008865445
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A comparative study of parametric mortality projection models
Haberman, Steven; Renshaw, Arthur - In: Insurance / Mathematics & economics 48 (2011) 1, pp. 35-56
Persistent link: https://www.econbiz.de/10008768340
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On age-period-cohort parametric mortality rate projections
Haberman, Steven; Renshaw, Arthur - In: Insurance: Mathematics and Economics 45 (2009) 2, pp. 255-270
An enhanced version of the Lee-Carter modelling approach to mortality forecasting, which has been extended to include an age modulated cohort index in addition to the standard age modulated period index, is described and tested for prediction robustness. Life expectancy and annuity value...
Persistent link: https://www.econbiz.de/10008521283
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