2021
DOI: 10.1016/j.jedc.2021.104075
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Measuring the effects of expectations shocks

Abstract: We show that expectation shocks -revisions in expectations unrelated to changes in current economic fundamentals -have positive signi…cant e¤ects on US economic activity. To measure the expectation shocks, we estimate a mixed-frequency VAR model that allows economic conditions in the current quarter to a¤ect current-quarter GDP expectations. The expectations shock is estimated with real-time data so such shocks do not su¤er a 'look-forward'bias by incorporating future data revisions. Dynamic responses are esti… Show more

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Cited by 11 publications
(3 citation statements)
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“…Beckmann & Czudaj (2020) further demonstrate that the expectation formation process features spillovers across variables. Clements & Galvão (2021) show, based on SPF data, that data revisions affect and contaminate expectation shock estimations. This is relevant to this paper as NFP numbers are usually revised three times, including a seasonal adjustment.…”
Section: Literature Reviewmentioning
confidence: 96%
“…Beckmann & Czudaj (2020) further demonstrate that the expectation formation process features spillovers across variables. Clements & Galvão (2021) show, based on SPF data, that data revisions affect and contaminate expectation shock estimations. This is relevant to this paper as NFP numbers are usually revised three times, including a seasonal adjustment.…”
Section: Literature Reviewmentioning
confidence: 96%
“…Some papers estimate sentiments as shocks to measured consumer confidence, including Barsky and Sims (2012) and Fève and Guay (2019); these approaches typically find little role for their identified shocks to contribute to business cycles. Clements and Galvão (2021) use GDP data revisions to isolate expectation shocks. Lagerborg et al (2020) use mass shooting fatalities to instrument for sentiments.…”
Section: Remain Ambiguous"mentioning
confidence: 99%
“…Another possibility would be to include oil price expectation measures directly as an observable in a vector autoregressive (VAR) model and isolate the shock component by applying existing identi…cation strategies. For example, Barsky andSims (2012), D'Amico andKing (2017), Levchenko and Pandalai-Nayar (2020), Clements andGalvão (2021), andLukmanova andRabitsch (2021) augment standard VARs with survey expectations and study the role of innovations to expectations for business cycle ‡uctuations and/or the conduct of policy.…”
Section: Deriving Shock Measuresmentioning
confidence: 99%