2013
DOI: 10.1002/jae.2333
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Is Economic Recovery a Myth? Robust Estimation of Impulse Responses

Abstract: SUMMARYWe estimate the impulse response function (IRF) of GDP to a banking crisis using an extension of the local pro jections method. We demonstrate that, though robust to misspecifications of the data generating process, this method suffers from a hitherto unnoticed bias which increases with the forecast horizon. We propose a correction to this bias and show through simulations that it works well. Applying our corrected local projections estimator to the data from a panel of 99 countries observed between 197… Show more

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Cited by 228 publications
(210 citation statements)
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References 14 publications
(24 reference statements)
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“…An adaptation of the local projections method developed in Jorda (2005) and extended in Teulings and Zubanov (2014), this easy to implement estimation procedure is robust to possible dynamic misspecifications in the underlying equations. The coefficients γ q and Γ q estimate the effects of the gap on SPs' wage premium and non SPs' wages q þ 1 years after joining the new firm, and the coefficient θ q measures the effect of the gaps times share on output.…”
Section: Tablementioning
confidence: 99%
“…An adaptation of the local projections method developed in Jorda (2005) and extended in Teulings and Zubanov (2014), this easy to implement estimation procedure is robust to possible dynamic misspecifications in the underlying equations. The coefficients γ q and Γ q estimate the effects of the gap on SPs' wage premium and non SPs' wages q þ 1 years after joining the new firm, and the coefficient θ q measures the effect of the gaps times share on output.…”
Section: Tablementioning
confidence: 99%
“…As a final check, we correct for the impulse responses bias identified by Teulings and Zubanov (2014) in local projections estimation using panel data. At some forecasting horizon, the dependent variable may already be affected by the implementation of the consolidation, even though the variable measuring consolidation is set equal to zero.…”
Section: 23mentioning
confidence: 99%
“…The method is based on estimating separate regressions that are local to each forecast horizon. As noted in the literature (Jordà, 2005(Jordà, , 2009Jordà et al, 2013;Teulings and Zubanov, 2014), the method has advantages vis-à-vis the estimation of ARDL equations. It is of practical application, as it only requires traditional least-squares methods.…”
Section: Empirical Methodologymentioning
confidence: 99%
“…Zdzienicka (2012), Jordà et al (2013), andTeulings andZubanov (2014). The defining characteristic of the local projections method is that it is based on estimating separate regressions that are local to each forecast horizon.…”
Section: Introductionmentioning
confidence: 99%
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