A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data
Index-Based Livestock Insurance has emerged as a promising market-based solution for insuring livestock against drought-related mortality. The objective of this work is to develop an explicit spatial econometric framework to estimate insurable indexes that can be integrated within a general insuranc...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2016
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/76923 |
| _version_ | 1855521185809301504 |
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| author | Woodard, J.D. Shee, Apurba Mude, Andrew G. |
| author_browse | Mude, Andrew G. Shee, Apurba Woodard, J.D. |
| author_facet | Woodard, J.D. Shee, Apurba Mude, Andrew G. |
| author_sort | Woodard, J.D. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Index-Based Livestock Insurance has emerged as a promising market-based solution for insuring livestock against drought-related mortality. The objective of this work is to develop an explicit spatial econometric framework to estimate insurable indexes that can be integrated within a general insurance pricing framework. We explore the problem of estimating spatial panel models when there are missing dependent variable observations and cross-sectional dependence, and implement an estimable procedure which employs an iterative method. We also develop an out-of-sample efficient cross-validation mixing method to optimise the degree of index aggregation in the context of spatial index models. |
| format | Journal Article |
| id | CGSpace76923 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace769232024-10-25T07:55:14Z A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data Woodard, J.D. Shee, Apurba Mude, Andrew G. insurance resilience drought pastoralism production livestock production spatial analysis livestock Index-Based Livestock Insurance has emerged as a promising market-based solution for insuring livestock against drought-related mortality. The objective of this work is to develop an explicit spatial econometric framework to estimate insurable indexes that can be integrated within a general insurance pricing framework. We explore the problem of estimating spatial panel models when there are missing dependent variable observations and cross-sectional dependence, and implement an estimable procedure which employs an iterative method. We also develop an out-of-sample efficient cross-validation mixing method to optimise the degree of index aggregation in the context of spatial index models. 2016-04 2016-09-02T12:04:06Z 2016-09-02T12:04:06Z Journal Article https://hdl.handle.net/10568/76923 en Limited Access Springer Woodard, J., Shee, A. and Mude, A. 2016. A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data. Geneva Papers on Risk and Insurance – Issues and Practice, 41(2):259-279 |
| spellingShingle | insurance resilience drought pastoralism production livestock production spatial analysis livestock Woodard, J.D. Shee, Apurba Mude, Andrew G. A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title | A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title_full | A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title_fullStr | A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title_full_unstemmed | A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title_short | A spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| title_sort | spatial econometric approach to designing and rating scalable index insurance in the presence of missing data |
| topic | insurance resilience drought pastoralism production livestock production spatial analysis livestock |
| url | https://hdl.handle.net/10568/76923 |
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