Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model
Andrea Teglio,
Andrea Mazzocchetti (),
Linda Ponta,
Marco Raberto and
Silvano Cincotti
Journal of Economic Behavior & Organization, 2019, vol. 157, issue C, 59-83
Abstract:
The 2008 financial crisis, and the subsequent global recession, triggered a wide-spread economic and political debate on the proper policy combination to deal with the crisis and to prevent similar ones in the future. Probably, the main dispute has been around the use of fiscal instruments in order to foster growth while keeping public debt under control. The European Union, for instance, endorsed “austerity” measures for fiscal consolidation but has been sharply criticized by several scholars. This paper aims at contributing to the current debate by presenting the outcomes of a computational study performed with the Eurace agent-based model. We set up an experiment with two base policy scenarios, i.e., stability and growth pact and fiscal compact, incrementally enriching them with complementary policies which relax fiscal rigidity and introduce quantitative easing. Results show that budgetary rigour performs well if and only if some mechanisms of fiscal relaxation and monetary accommodation are considered during bad times; thus confirming in a richer and more realistic model setting the fundamental tenet of Keynesian economics about the importance of sustaining aggregate demand during recessions.
Keywords: Fiscal policy; Quantitative easing; Financial stability; Economic crisis; Agent-based modelling (search for similar items in EconPapers)
JEL-codes: C63 E63 G01 H12 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
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Working Paper: Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model (2015) 
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:157:y:2019:i:c:p:59-83
DOI: 10.1016/j.jebo.2017.09.016
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