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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Bibliographic Details
Main Author: Mensink, P.G.C.
Format: External research report biblioteca
Language:English
Published: Wageningen University
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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spelling 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
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic 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
spellingShingle 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
description 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
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