Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/9505
Author(s): Gasteiger, E.
Zhang, S.
Date: 2014
Title: Anticipation, learning and welfare: the case of distortionary taxation
Volume: 39
Pages: 113-126
ISSN: 0165-1889
Keywords: Fiscal policy
Adaptive learning
Oscillations
Welfare
Abstract: We study the impact of anticipated fiscal policy changes in a Ramsey economy where agents form long-horizon expectations using adaptive learning. We extend the existing framework by introducing distortionary taxes as well as elastic labor supply, which makes agents' decisions non-predetermined but more realistic. We detect that the dynamic responses to anticipated tax changes under learning have oscillatory behavior that can be interpreted as self-fulfilling waves of optimism and pessimism emerging from systematic forecast errors. Moreover, we demonstrate that these waves can have important implications for the welfare consequences of fiscal reforms
Peerreviewed: Sim
Access type: Open Access
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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