On the relativity of quantitative model results for policy purposes in the social sciences
This paper discusses potential sources of misinterpretation of quantitative model results by policy makers. It is argued that model results are relative, i.e. their correct interpretation depends on (1a) the policy maker for whom the model was meant for as a decision support system - and related - (1b) whether they are meant as descriptive or prescriptive, and (2), in case of uncertainty, whether actors or the policy maker experiences uncertainty. It is concluded that explicit identification of (1a) the preferences and decision power of the policy maker for whom the model is developed for, (1b) the descriptive or prescriptive character of the model, and (2) who experience uncertainty, will lower the chance of misinterpretation of model results. Examples of potential misinterpretation of model results are given for the field of greenhouse gas emission control.
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Format: | External research report biblioteca |
Language: | English |
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Wageningen University
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Subjects: | climatic change, decision making, environmental policy, modeling, uncertainty, besluitvorming, klimaatverandering, milieubeleid, modelleren, onzekerheid, |
Online Access: | https://research.wur.nl/en/publications/on-the-relativity-of-quantitative-model-results-for-policy-purpos |
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dig-wur-nl-wurpubs-655442024-06-25 Mensink, P.G.C. External research report On the relativity of quantitative model results for policy purposes in the social sciences 2000 This paper discusses potential sources of misinterpretation of quantitative model results by policy makers. It is argued that model results are relative, i.e. their correct interpretation depends on (1a) the policy maker for whom the model was meant for as a decision support system - and related - (1b) whether they are meant as descriptive or prescriptive, and (2), in case of uncertainty, whether actors or the policy maker experiences uncertainty. It is concluded that explicit identification of (1a) the preferences and decision power of the policy maker for whom the model is developed for, (1b) the descriptive or prescriptive character of the model, and (2) who experience uncertainty, will lower the chance of misinterpretation of model results. Examples of potential misinterpretation of model results are given for the field of greenhouse gas emission control. en Wageningen University application/pdf https://research.wur.nl/en/publications/on-the-relativity-of-quantitative-model-results-for-policy-purpos https://edepot.wur.nl/22589 climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid Wageningen University & Research |
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climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid |
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climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid Mensink, P.G.C. On the relativity of quantitative model results for policy purposes in the social sciences |
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This paper discusses potential sources of misinterpretation of quantitative model results by policy makers. It is argued that model results are relative, i.e. their correct interpretation depends on (1a) the policy maker for whom the model was meant for as a decision support system - and related - (1b) whether they are meant as descriptive or prescriptive, and (2), in case of uncertainty, whether actors or the policy maker experiences uncertainty. It is concluded that explicit identification of (1a) the preferences and decision power of the policy maker for whom the model is developed for, (1b) the descriptive or prescriptive character of the model, and (2) who experience uncertainty, will lower the chance of misinterpretation of model results. Examples of potential misinterpretation of model results are given for the field of greenhouse gas emission control. |
format |
External research report |
topic_facet |
climatic change decision making environmental policy modeling uncertainty besluitvorming klimaatverandering milieubeleid modelleren onzekerheid |
author |
Mensink, P.G.C. |
author_facet |
Mensink, P.G.C. |
author_sort |
Mensink, P.G.C. |
title |
On the relativity of quantitative model results for policy purposes in the social sciences |
title_short |
On the relativity of quantitative model results for policy purposes in the social sciences |
title_full |
On the relativity of quantitative model results for policy purposes in the social sciences |
title_fullStr |
On the relativity of quantitative model results for policy purposes in the social sciences |
title_full_unstemmed |
On the relativity of quantitative model results for policy purposes in the social sciences |
title_sort |
on the relativity of quantitative model results for policy purposes in the social sciences |
publisher |
Wageningen University |
url |
https://research.wur.nl/en/publications/on-the-relativity-of-quantitative-model-results-for-policy-purpos |
work_keys_str_mv |
AT mensinkpgc ontherelativityofquantitativemodelresultsforpolicypurposesinthesocialsciences |
_version_ |
1813210399377457152 |