Identifying monetary policy shocks under sign restrictions in Uzbekistan: A robustness reassessment
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Received November 9, 2025;Accepted September 24, 2026;Published November 6, 2026
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Author(s)Elyor DavlatovLink to ORCID Index: https://orcid.org/0000-0002-9467-430X
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Csaba LentnerLink to ORCID Index: https://orcid.org/0000-0003-2241-782X
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Judit SágiLink to ORCID Index: https://orcid.org/0000-0003-4197-3530
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DOIhttp://dx.doi.org/10.21511/bbs.21(4).2026.12
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Article InfoVolume 21 2026, Issue #4, pp. 180–203
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
Counterintuitive responses of prices and exchange rates to monetary policy shocks are widely reported in transitional economies, yet whether these anomalies reflect the economy’s structure or the way the shock is identified remains unresolved. Using monthly data from January 2013 to July 2025, we test whether the anomalies survive under agnostic sign restrictions, not previously applied to Uzbek data, benchmarked against the recursive and zero contemporaneous schemes of our earlier studies. The recursive baseline reproduces both anomalies; the alternative schemes remove them, indicating they are largely artefacts of identification. This robustness differs sharply across variables. The absence of a price puzzle holds under sign restrictions across the full sample, alternative lag lengths, and both post-2017 and post-2020 subsamples, and it strengthens after each regime change. The absence of an exchange rate puzzle is directionally consistent – the currency never significantly depreciates when left unrestricted – but its magnitude and significance are fragile: the full-sample appreciation (roughly 1% at 12 months) is several times larger than in either subsample, and it loses significance once the September 2017 liberalization outlier is accounted for. We therefore do not find robust support for the exchange rate channel dominating the price channel. The contribution is methodological rather than descriptive: it shows which conclusions about Uzbek monetary transmission survive a change of identification, and that this robustness itself varies by variable. For policy, the results support continued use of sterilized foreign exchange interventions to smooth volatility, but not robust support for explicit exchange rate targeting.
Acknowledgment
This study was conducted at the Széll Kálmán Public Finance Lab of the Ludovika University of Public Service. Thank you for the university’s support.
The views expressed in this article are solely those of the authors and do not necessarily reflect the official position of the Central Bank of the Republic of Uzbekistan. The Central Bank of the Republic of Uzbekistan does not bear responsibility for the content of the article.
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JEL Classification (Paper profile tab)E44, E52, E58
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References44
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Tables9
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Figures10
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- Figure 1. Impulse responses to monetary policy shock
- Figure 2. Impulse responses to monetary policy shock
- Figure 3. Impulse responses to monetary policy shock
- Figure 4. Impulse responses
- Figure A1. Stability test
- Figure A2. Forecast error variance decomposition
- Figure A3. Robustness check of sign restrictions (scenario 1)
- Figure A4. Robustness check of sign restrictions (scenario 2)
- Figure A5. Robustness check of zero contemporaneous restrictions
- Figure C1. CPI response in Scenario 1 (top) and exchange rate response in Scenario 2 (bottom) across samples
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- Table 1. Comparison of related studies
- Table 2. Cholesky-based restriction framework
- Table 3. Sign restrictions: positive 1, negative -1, unrestricted 0
- Table A1. Descriptive statistics and normality test results
- Table A2. Stationarity test
- Table B1. Stability tests for the reduced-form VAR(2), 2013M03–2025M07 (T = 149)
- Table B2. Robustness of the stability tests to the specification
- Table C1. Informative responses across samples (one-standard-deviation shock, VAR(2))
- Table C2. Degrees of freedom and performance of the sign-restriction search by sample
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Data curation
Elyor Davlatov, Csaba Lentner
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Formal Analysis
Elyor Davlatov, Judit Sági
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Investigation
Elyor Davlatov, Csaba Lentner
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Methodology
Elyor Davlatov, Judit Sági
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Software
Elyor Davlatov
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Writing – original draft
Elyor Davlatov
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Conceptualization
Csaba Lentner, Judit Sági
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Funding acquisition
Csaba Lentner
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Project administration
Csaba Lentner, Judit Sági
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Resources
Csaba Lentner
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Supervision
Csaba Lentner, Judit Sági
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Visualization
Csaba Lentner
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Validation
Judit Sági
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Writing – review & editing
Judit Sági
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Data curation
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