Citing this article

A standard form of citation of this article is:

Brenner, Thomas and Werker, Claudia (2009). 'Policy Advice Derived from Simulation Models'. Journal of Artificial Societies and Social Simulation 12(4)2 <https://www.jasss.org/12/4/2.html>.

The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:

@article{brenner2009,
   title = {Policy Advice Derived from Simulation Models},
   author = {Brenner, Thomas and Werker, Claudia},
   journal = {Journal of Artificial Societies and Social Simulation},
   ISSN = {1460-7425},
   volume = {12},
   number = {4},
   pages = {2},
   year = {2009},
   URL = {https://www.jasss.org/12/4/2.html},
   keywords = {Policy Advice, Simulation Models, Uncertainty, Methodology},
   abstract = {When advising policy we face the fundamental problem that economic processes are uncertain. Consequently, policy can err. In this paper we show how the use of simulation models can reduce policy errors by inferring empirically reliable and meaningful statements about economic processes. We suggest that policy is best based on so-called abductive simulation models, which help to better understand how policy measures can influence economic processes. We show that abductive simulation models use a combination of theoretical and empirical analysis based on different data sets. By way of example we show what policy can learn with the help of abductive simulation models, namely how policy measures can influence the emergence of a regional cluster.},
}

The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.

TY  - JOUR
TI  - Policy Advice Derived from Simulation Models
AU  - Brenner, Thomas
AU  - Werker, Claudia
Y1  - 2009/10/31/
JO  - Journal of Artificial Societies and Social Simulation
SN  - 1460-7425
VL  - 12
IS  - 4
SP  - 2
UR  - https://www.jasss.org/12/4/2.html
KW  - Policy Advice
KW  - Simulation Models
KW  - Uncertainty
KW  - Methodology
N2  - When advising policy we face the fundamental problem that economic processes are uncertain. Consequently, policy can err. In this paper we show how the use of simulation models can reduce policy errors by inferring empirically reliable and meaningful statements about economic processes. We suggest that policy is best based on so-called abductive simulation models, which help to better understand how policy measures can influence economic processes. We show that abductive simulation models use a combination of theoretical and empirical analysis based on different data sets. By way of example we show what policy can learn with the help of abductive simulation models, namely how policy measures can influence the emergence of a regional cluster.
ER  -