Cited by 288Monetary Policy and Economic ImpactBanking stability, regulation, efficiencyGlobal Financial Crisis and Policies

IS ECONOMIC RECOVERY A MYTH? ROBUST ESTIMATION OF IMPULSE RESPONSES

Open access
Teulings, Coen N., Zubanov, Nikolay·2014·Journal of Applied Econometrics

Abstract

SUMMARY: We estimate the impulse response function (IRF) of GDP to a banking crisis using an extension of the local projections 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 1974 and 2001, we find that an average banking crisis yields a GDP loss of just under 10% in 10 years, with little sign of recovery. Like the original local projections method, our extension of it is widely applicable. Copyright © 2013 John Wiley & Sons, Ltd.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jae.2333

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 9

  1. Alvarez J, Arellano M. 2003. The time series and cross section asymptotics of dynamic panel data estimators. Econometrica 71(4): 1121 1159.
  2. Campbell JY, Mankiw NG. 1987. Are output fluctuations transitory? Quarterly Journal of Economics 102(4): 857 880.
  3. Cerra V, Saxena SC. 2008. Growth dynamics: the myth of economic recovery. American Economic Review 98(1): 439 457.
  4. Chong Y, Jorda O, Taylor AM. 2012. The Harrod Balassa Samuelson hypothesis: real exchange rates and their long run equilibrium. International Economic Review 53(2): 609 634.
  5. Faust J, Wright JH. 2011. Efficient prediction of excess returns. The Review of Economics and Statistics 93(2): 647 659.
  6. Jorda O. 2005. Estimation and inference of impulse responses by local projections. American Economic Review 95(1): 161 182.
  7. Judson RA, Owen AL. 1999. Estimating dynamic panel data models: a guide for macroeconomists. Economics Letters 65(1): 9 15.
  8. Mood A, Graybill F, Boes D. 1974. Introduction to the Theory of Statistics. McGraw Hill: New York.
  9. Nickel S. 1981. Biases in dynamic models with fixed effects. Econometrica 49(6): 1417 1426.

Cited by

Sorted by citations

Authors
Teulings, C. N., & Zubanov, N.
Affiliations
  • CPB Netherlands Bureau for Economic Policy Analysis (NL)
  • Erasmus University Rotterdam Erasmus School of Economics Rotterdam The Netherlands
Venue
Journal of Applied Econometrics
Publisher
Wiley
Published
2013-06-20
Volume
29
Issue
3
Pages
497-514
ISSN
  • 0883-7252 (ISSN-L)
  • 1099-1255
OpenAlex
W1902470918
Cited by
288
References
0
Citations by year
2026: 23 · 2025: 27 · 2024: 25 · 2023: 29 · 2022: 31 · 2021: 29 · 2020: 29 · 2019: 18 · 2018: 20 · 2017: 9 · 2016: 16 · 2015: 16 · 2014: 4 · 2013: 2 · 2012: 4
FWCI
34.86
Type
journal article
Language
en
Open access
Locations
  • Journal of Applied Econometrics (publishedVersion)
  • UvA-DARE (University of Amsterdam) (publishedVersion)
  • KOPS (University of Konstanz) (submittedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
  • Social Sciences › Economics, Econometrics and Finance › Finance › Banking stability, regulation, efficiency
  • Social Sciences › Economics, Econometrics and Finance › Finance › Global Financial Crisis and Policies
Keywords
banking crisis, GDP loss, impulse response functions, local projections, robust estimation, bias correction, forecast horizon, economic recovery, cross-country panel data

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review