Brenner, Thomas and Werker, Claudia (2009): Policy Advice Derived From Simulation Models.
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When advising policy we face the fundamental problem that economic processes are connected with uncertainty and thus policy can err. In this paper we show how the use of simulation models can reduce policy errors. 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. This helps inferring empirically reliable and meaningful statements about how policy measures influence economic processes. By way of example we show how research subsidies by the government influence the likelihood that a regional cluster emerges.
|Item Type:||MPRA Paper|
|Original Title:||Policy Advice Derived From Simulation Models|
|Keywords:||Policy Advice, Simulation Models, Uncertainty, Methodology|
|Subjects:||C - Mathematical and Quantitative Methods > C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling > C63 - Computational Techniques; Simulation Modeling
B - History of Economic Thought, Methodology, and Heterodox Approaches > B5 - Current Heterodox Approaches > B52 - Institutional; Evolutionary
H - Public Economics > H8 - Miscellaneous Issues > H89 - Other
B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B41 - Economic Methodology
|Depositing User:||El Arkesteijn|
|Date Deposited:||04. Feb 2009 00:02|
|Last Modified:||15. Feb 2013 19:54|
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