Anticipation, learning and welfare: the case of distortionary taxation

Emanuel Gasteiger, Shoujian Zhang

    Research output: Working paper

    4 Downloads (Pure)

    Abstract

    We study the impact of anticipated fiscal policy changes in a Ramsey economy where agents form long-horizon expectations using adaptive learning. We ex- tend the existing framework by introducing distortionary taxes as well as elastic labour supply, which makes agents' decisions non-predetermined but more realistic. We detect that the dynamic responses to anticipated tax changes under learning have oscillatory behaviour that can be interpreted as self-ful lling 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.
    Original languageEnglish
    PublisherUniversity of St Andrews
    Number of pages32
    Publication statusPublished - 26 Aug 2013

    Publication series

    NameSchool of Economics & Finance Discussion Paper 1309
    No.1309
    ISSN (Print)0962-4031
    ISSN (Electronic)2055-303X

    Keywords

    • Fiscal policy
    • Adaptive learning
    • Oscillations

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