IDEAS home Printed from https://ideas.repec.org/f/c/pne255.html

Aleksei Netšunajev
(Aleksei Netsunajev)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Helmut Lütkepohl & Aleksei Netsunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Discussion Papers of DIW Berlin 1729, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Ivan Hajdukovic, 2022. "Transmission mechanisms of conventional and unconventional monetary policies in open economies," Post-Print hal-03912666, HAL.
    2. Busu, Cristian & Busu, Mihail, 2019. "Modeling the predictive power of the singular value decomposition-based entropy. Empirical evidence from the Dow Jones Global Titans 50 Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    3. Yao Séraphin PRAO & Kouassi Cyrille KONGOZA, 2025. "Asymmetric effect of monetary policy on stock market performance in the ECOWAS zone: empirical evidence from the NARDL approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(642), S), pages 149-166, Spring.
    4. Mihovil Anđelinović & Filip Škunca, 2023. "Optimizing insurers’ investment portfolios: incorporating alternative investments," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 41(2), pages 361-389.
    5. Pacicco, Fausto & Vena, Luigi & Venegoni, Andrea, 2019. "Market reactions to ECB policy innovations: A cross-country analysis," Journal of International Money and Finance, Elsevier, vol. 91(C), pages 126-137.

  2. Helmut Lütkepohl & Mika Meitz & Aleksei NetŠunajev & Pentti Saikkonen, 2018. "Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models," Discussion Papers of DIW Berlin 1764, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    2. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    3. Hu, Zhepeng & Yan, Lei & Yuan, Jinghong & Etienne, Xiaoli, 2023. "Deconstructing Fertilizer Price Spikes: Evidence from Chinese Urea Fertilizer Market," 2023 Conference, April 24-25, 2023, St. Louis, Missouri 379028, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Justyna Wr'oblewska & {L}ukasz Kwiatkowski, 2024. "Identification of structural shocks in Bayesian VEC models with two-state Markov-switching heteroskedasticity," Papers 2406.03053, arXiv.org, revised Jun 2024.
    5. Gabriel Rodriguez-Rondon & Jean-Marie Dufour, 2024. "MSTest: An R-Package for Testing Markov Switching Models," Papers 2411.08188, arXiv.org.
    6. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    7. Hu, Zhepeng & Huang, Joshua & Yan, Lei & Yuan, Jinghong, 2023. "Deconstructing Urea Fertilizer Price Spikes: The Role of Supply-Demand, Speculation, and Energy Prices," 2023 Annual Meeting, July 23-25, Washington D.C. 335529, Agricultural and Applied Economics Association.
    8. Helmut Lutkepohl & Fei Shang & Luis Uzeda & Tomasz Wo'zniak, 2024. "Partial Identification of Structural Vector Autoregressions with Non-Centred Stochastic Volatility," Papers 2404.11057, arXiv.org, revised Oct 2025.
    9. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    10. Ahmed, Rashad & Rebucci, Alessandro, 2024. "Dollar reserves and U.S. yields: Identifying the price impact of official flows," Journal of International Economics, Elsevier, vol. 152(C).
    11. Gabriel Rodriguez Rondon & Jean-Marie Dufour, 2026. "MSTest: An R-Package for Testing Markov Switching Models," Staff Working Papers 26-7, Bank of Canada.
    12. Fei Shang & Tomasz Wo'zniak, 2026. "Identification Verification for Structural Vector Autoregressions with Sparse Heterogeneous Markov Switching Heteroskedasticity," Papers 2603.16035, arXiv.org.
    13. Demetrescu, Matei & Kruse-Becher, Robinson, 2025. "Is U.S. real output growth non-normal? A tale of time-varying location and scale," Journal of Economic Dynamics and Control, Elsevier, vol. 171(C).
    14. Helmut Lütkepohl & Fei Shang & Luis Uzeda & Tomasz Woźniak, 2024. "Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference," Discussion Papers of DIW Berlin 2081, DIW Berlin, German Institute for Economic Research.
    15. Gökhan Ider & Malte Rieth, 2026. "Aggregate Tax and Spending Multipliers in a Monetary Union," Discussion Papers of DIW Berlin 2170, DIW Berlin, German Institute for Economic Research.
    16. Lukas Boer & Lukas Menkhoff & Malte Rieth, 2023. "The multifaceted impact of US trade policy on financial markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 388-406, April.
    17. Milov{s} Ciganovi'c & Elena Scola Gagliardi & Massimiliano Tancioni, 2025. "Disentangling the Distributional Effects of Financial Shocks in the Euro Area," Papers 2510.11289, arXiv.org.
    18. Fritsche, Jan Philipp & Klein, Mathias & Rieth, Malte, 2021. "Government spending multipliers in (un)certain times," Journal of Public Economics, Elsevier, vol. 203(C).
    19. Bacchiocchi, Emanuele & Bastianin, Andrea & Kitagawa, Toru & Mirto, Elisabetta, 2024. "Partially identified heteroskedastic SVARs," FEEM Working Papers 343513, Fondazione Eni Enrico Mattei (FEEM).
    20. Patrik Žihala & Barbara Brixová & Marianna Siničáková & Veronika Šuliková, 2025. "Heterogeneous macroeconomic effects of interplay in recent fiscal and monetary policies," Economic Change and Restructuring, Springer, vol. 58(6), pages 1-41, December.

  3. Wenjuan Chen & Aleksei Netsunajev, 2018. "Structural vector autoregression with time varying transition probabilities: identifying uncertainty shocks via changes in volatility," Bank of Estonia Working Papers wp2018-02, Bank of Estonia, revised 13 Feb 2018.

    Cited by:

    1. Gillmann, Niels & Okhrin, Ostap, 2025. "Adaptive local VAR for dynamic economic policy uncertainty spillover," Economic Modelling, Elsevier, vol. 148(C).
    2. Kamel Helali, 2022. "Markov Switching-Vector AutoRegression Model Analysis of the Economic and Growth Cycles in Tunisia and Its Main European Partners," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 656-686, March.
    3. Niels Gillmann & Ostap Okhrin, 2023. "Adaptive local VAR for dynamic economic policy uncertainty spillover," Papers 2302.02808, arXiv.org.

  4. Konstantin A. Kholodilin & Aleksei Netsunajev, 2016. "Crimea and Punishment: The Impact of Sanctions on Russian and European Economies," Discussion Papers of DIW Berlin 1569, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Jan Wedemeier & Lukas Wolf, 2022. "Navigating Rough Waters: Global Shipping and Challenges for the North Range Ports," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 57(3), pages 192-198, May.
    2. Shida, Yoshisada, 2019. "Russian Business under Economic Sanctions: Is There Regional Heterogeneity?," MPRA Paper 93817, University Library of Munich, Germany.
    3. Pestova, Anna & Mamonov, Mikhail, 2019. "Should we care? The economic effects of financial sanctions on the Russian economy," BOFIT Discussion Papers 13/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Bayramov, Vugar & Rustamli, Nabi & Abbas, Gulnara, 2020. "Collateral damage: The Western sanctions on Russia and the evaluation of implications for Russia’s post-communist neighbourhood," International Economics, Elsevier, vol. 162(C), pages 92-109.
    5. Morad Bali, 2020. "Methodological Limitations of the Literature in the Study of Economic Sanctions, the Ukrainian Crisis Case," Post-Print hal-02472943, HAL.
    6. Morad Bali, 2018. "The Impact of Economic Sanctions on Russia and its Six Greatest European Trade Partners," Post-Print halshs-01918521, HAL.
    7. Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Sanctions and the Russian stock market," Research in International Business and Finance, Elsevier, vol. 40(C), pages 150-162.
    8. Prilepskiy, I., 2019. "Financial Sanctions: Impact on Capital flows and GDP Growth in Russia," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 163-172.
    9. Nady Rapelanoro & BALI Morad, 2020. "International Economic Sanctions: Multipurpose Index Modelling in the Ukrainian Crisis Case," EconomiX Working Papers 2020-8, University of Paris Nanterre, EconomiX.
    10. Massimiliano Di Pace, 2017. "Eu and Usa sanctions and their impact on Russia: a logical-qualitative assessment," Argomenti, University of Urbino Carlo Bo, Department of Economics, Society & Politics, vol. 7(7), pages 1-16, May-Augus.
    11. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.

  5. Nautz, Dieter & Netšunajev, Aleksei & Strohsal, Till, 2016. "The anchoring of inflation expectations in the short and in the long run," SFB 649 Discussion Papers 2016-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Demgensky, Lisa & Fritsche, Ulrich, 2023. "Narratives on the causes of inflation in Germany: First results of a pilot study," WiSo-HH Working Paper Series 77, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    2. Hachula, Michael & Nautz, Dieter, 2017. "The dynamic impact of macroeconomic news on long-term inflation expectations," Discussion Papers 2017/12, Free University Berlin, School of Business & Economics.
    3. Buono, Ines & Formai, Sara, 2018. "New evidence on the evolution of the anchoring of inflation expectations," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 39-54.
    4. Christina Anderl & Guglielmo Maria Caporale, 2023. "Functional Shocks to Inflation Expectations and Real Interest Rates and Their Macroeconomic Effects," CESifo Working Paper Series 10656, CESifo.
    5. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    6. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2024. "Interest Rates, Convenience Yields, and Inflation Expectations: Drivers of US Dollar Exchange Rates," Discussion Papers of DIW Berlin 2100, DIW Berlin, German Institute for Economic Research.
    7. Coleman, Winnie & Nautz, Dieter, 2020. "The credibility of the ECB's inflation target in times of Corona: New evidence from an online survey," Discussion Papers 2020/11, Free University Berlin, School of Business & Economics.
    8. Chen, Shi & Härdle, Wolfgang Karl & Wang, Weining, 2020. "The common and speci fic components of inflation expectation across European countries," IRTG 1792 Discussion Papers 2020-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    9. Czudaj, Robert L., 2023. "Anchoring of Inflation Expectations and the Role of Monetary Policy and Cost-Push Factors," MPRA Paper 119029, University Library of Munich, Germany.
    10. Diegel, Max & Nautz, Dieter, 2020. "The role of long-term inflation expectations for the transmission of monetary policy shocks," Discussion Papers 2020/19, Free University Berlin, School of Business & Economics.
    11. Cho, Dooyeon & Jung, Jaehun, 2025. "Machine learning goes beyond: Time-varying monetary policy and oil price pass-through to inflation expectations," Journal of Macroeconomics, Elsevier, vol. 85(C).
    12. Kenny, Geoff & Dovern, Jonas, 2017. "The long-term distribution of expected inflation in the euro area: what has changed since the great recession?," Working Paper Series 1999, European Central Bank.
    13. Dash, Pradyumna & Rohit, Abhishek Kumar & Devaguptapu, Adviti, 2020. "Assessing the (de-)anchoring of households’ long-term inflation expectations in the US," Journal of Macroeconomics, Elsevier, vol. 63(C).

  6. Nautz, Dieter & Netšunajev, Aleksei & Strohsal, Till, 2016. "The anchoring of inflation expectations in the short and in the long run," SFB 649 Discussion Papers 2016-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Demgensky, Lisa & Fritsche, Ulrich, 2023. "Narratives on the causes of inflation in Germany: First results of a pilot study," WiSo-HH Working Paper Series 77, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    2. Hachula, Michael & Nautz, Dieter, 2017. "The dynamic impact of macroeconomic news on long-term inflation expectations," Discussion Papers 2017/12, Free University Berlin, School of Business & Economics.
    3. Buono, Ines & Formai, Sara, 2018. "New evidence on the evolution of the anchoring of inflation expectations," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 39-54.
    4. Christina Anderl & Guglielmo Maria Caporale, 2023. "Functional Shocks to Inflation Expectations and Real Interest Rates and Their Macroeconomic Effects," CESifo Working Paper Series 10656, CESifo.
    5. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    6. Kerstin Bernoth & Helmut Herwartz & Lasse Trienens, 2024. "Interest Rates, Convenience Yields, and Inflation Expectations: Drivers of US Dollar Exchange Rates," Discussion Papers of DIW Berlin 2100, DIW Berlin, German Institute for Economic Research.
    7. Coleman, Winnie & Nautz, Dieter, 2020. "The credibility of the ECB's inflation target in times of Corona: New evidence from an online survey," Discussion Papers 2020/11, Free University Berlin, School of Business & Economics.
    8. Chen, Shi & Härdle, Wolfgang Karl & Wang, Weining, 2020. "The common and speci fic components of inflation expectation across European countries," IRTG 1792 Discussion Papers 2020-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    9. Czudaj, Robert L., 2023. "Anchoring of Inflation Expectations and the Role of Monetary Policy and Cost-Push Factors," MPRA Paper 119029, University Library of Munich, Germany.
    10. Diegel, Max & Nautz, Dieter, 2020. "The role of long-term inflation expectations for the transmission of monetary policy shocks," Discussion Papers 2020/19, Free University Berlin, School of Business & Economics.
    11. Cho, Dooyeon & Jung, Jaehun, 2025. "Machine learning goes beyond: Time-varying monetary policy and oil price pass-through to inflation expectations," Journal of Macroeconomics, Elsevier, vol. 85(C).
    12. Kenny, Geoff & Dovern, Jonas, 2017. "The long-term distribution of expected inflation in the euro area: what has changed since the great recession?," Working Paper Series 1999, European Central Bank.
    13. Dash, Pradyumna & Rohit, Abhishek Kumar & Devaguptapu, Adviti, 2020. "Assessing the (de-)anchoring of households’ long-term inflation expectations in the US," Journal of Macroeconomics, Elsevier, vol. 63(C).

  7. Netésunajev, Aleksei & Winkelmann, Lars, 2016. "International dynamics of inflation expectations," SFB 649 Discussion Papers 2016-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Hachula, Michael & Nautz, Dieter, 2017. "The dynamic impact of macroeconomic news on long-term inflation expectations," Discussion Papers 2017/12, Free University Berlin, School of Business & Economics.
    2. Nautz, Dieter & Netsunajew, Aleksei & Strohsal, Till, 2017. "The Anchoring of Inflation Expectations in the Short and in the Long Run," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168075, Verein für Socialpolitik / German Economic Association.

  8. Lütkepohl, Helmut & Netšunajev, Aleksei, 2015. "Structural vector autoregressions with heteroskedasticity: A comparison of different volatility models," SFB 649 Discussion Papers 2015-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
    2. YAMAMOTO, Yohei & 山本, 庸平, 2018. "Identifying Factor-Augmented Vector Autoregression Models via Changes in Shock Variances," Discussion paper series HIAS-E-72, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    3. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    4. Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.

  9. Helmut Luetkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo.

    Cited by:

    1. Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
    2. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.

  10. Winkelmann, Lars & Netsunajev, Aleksei, 2015. "International Transmissions of Inflation Expectations in a Markov Switching Structural VAR Model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112900, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Strohsal, Till & Melnick, Rafi & Nautz, Dieter, 2015. "The time-varying degree of inflation expectations anchoring," SFB 649 Discussion Papers 2015-028, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

  11. Chen, Wenjuan & Netsunajev, Aleksei, 2015. "On the long-run neutrality of demand shocks," SFB 649 Discussion Papers 2015-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Nautz, Dieter & Netšunajev, Aleksei & Strohsal, Till, 2016. "The anchoring of inflation expectations in the short and in the long run," SFB 649 Discussion Papers 2016-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    3. Martin Bruns & Helmut Lutkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," University of East Anglia School of Economics Working Paper Series 2024-06, School of Economics, University of East Anglia, Norwich, UK..
    4. Helmut Lütkepohl & Mika Meitz & Aleksei NetŠunajev & Pentti Saikkonen, 2018. "Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models," Discussion Papers of DIW Berlin 1764, DIW Berlin, German Institute for Economic Research.
    5. Ngomba Bodi, Francis Ghislain, 2018. "Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC [Relative contributions of aggregate demand and supply shocks to business cycles fluctuations in the CEMAC subregion]," MPRA Paper 116376, University Library of Munich, Germany.

  12. Chen, Wenjuan & Netsunajev, Aleksei, 2015. "On the long-run neutrality of demand shocks," SFB 649 Discussion Papers 2015-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Nautz, Dieter & Netšunajev, Aleksei & Strohsal, Till, 2016. "The anchoring of inflation expectations in the short and in the long run," SFB 649 Discussion Papers 2016-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    2. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    3. Martin Bruns & Helmut Lutkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," University of East Anglia School of Economics Working Paper Series 2024-06, School of Economics, University of East Anglia, Norwich, UK..
    4. Helmut Lütkepohl & Mika Meitz & Aleksei NetŠunajev & Pentti Saikkonen, 2018. "Testing Identification via Heteroskedasticity in Structural Vector Autoregressive Models," Discussion Papers of DIW Berlin 1764, DIW Berlin, German Institute for Economic Research.
    5. Ngomba Bodi, Francis Ghislain, 2018. "Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC [Relative contributions of aggregate demand and supply shocks to business cycles fluctuations in the CEMAC subregion]," MPRA Paper 116376, University Library of Munich, Germany.

  13. Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Kerstin Bernoth & Helmut Herwartz, 2019. "Exchange Rates, Foreign Currency Exposure and Sovereign Risk," Discussion Papers of DIW Berlin 1792, DIW Berlin, German Institute for Economic Research.
    3. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    4. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    5. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    6. Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
    7. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.

  14. Lütkepohl, Helmut & Netésunajev, Aleksei, 2014. "Structural vector autoregressions with smooth transition in variances: The interaction between US monetary policy and the stock market," SFB 649 Discussion Papers 2014-031, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Benjamin Beckers & Kerstin Bernoth, 2016. "Monetary Policy and Mispricing in Stock Markets," Discussion Papers of DIW Berlin 1605, DIW Berlin, German Institute for Economic Research.
    3. Kerstin Bernoth & Helmut Herwartz, 2019. "Exchange Rates, Foreign Currency Exposure and Sovereign Risk," Discussion Papers of DIW Berlin 1792, DIW Berlin, German Institute for Economic Research.
    4. Guay, Alain, 2021. "Identification of structural vector autoregressions through higher unconditional moments," Journal of Econometrics, Elsevier, vol. 225(1), pages 27-46.
    5. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    6. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    7. Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
    8. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.

  15. Aleksei Netsunajev, 2013. "Reaction to technology shocks in Markov-switching structural VARs: identification via heteroskedasticity," Bank of Estonia Working Papers wp2012-6, Bank of Estonia, revised 03 Jan 2013.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Lütkepohl, Helmut & Schlaak, Thore, 2019. "Bootstrapping impulse responses of structural vector autoregressive models identified through GARCH," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 41-61.
    3. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    4. Ahmed BenSaïda, 2025. "Contemporaneous Spillovers Across Foreign Exchange Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 4197-4211, October.
    5. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
    6. Juan Carlos Cuestas & Bo Tang, 2015. "Exchange Rate Changes and Stock Returns in China: A Markov Switching SVAR Approach," Working Papers 2015024, The University of Sheffield, Department of Economics.
    7. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    8. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
    10. Lütkepohl, Helmut & Shang, Fei & Uzeda, Luis & Woźniak, Tomasz, 2026. "Partial identification of structural vector autoregressions with non-centred stochastic volatility," Journal of Econometrics, Elsevier, vol. 256(PB).
    11. Marianna Oliskevych & Iryna Lukianenko, 2020. "European unemployment nonlinear dynamics over the business cycles: Markov switching approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 22(4), pages 375-401.
    12. Noel Gaston & Gulasekaran Rajaguru, 2015. "A Markov-switching structural vector autoregressive model of boom and bust in the Australian labour market," Empirical Economics, Springer, vol. 49(4), pages 1271-1299, December.

  16. Dmitry Kulikov & Aleksei Netsunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    3. Bluwstein, Kristina & Canova, Fabio, 2015. "Beggar-thy-neighbor? The international effects of ECB unconventional monetary policy measures," CEPR Discussion Papers 10856, Centre for Economic Policy Research.
    4. Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.
    5. Marek A. Dąbrowski & Łukasz Kwiatkowski & Justyna Wróblewska, 2020. "Sources of Real Exchange Rate Variability in Central and Eastern European Countries: Evidence from Structural Bayesian MSH-VAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(4), pages 369-412, December.
    6. Helmut Luetkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo.
    7. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

  17. Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Jamie L. Cross & Chenghan Hou & Bao H. Nguyen, 2018. "On the China factor in international oil markets: A regime switching approach," Working Papers No 11/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    3. Li, Zheng & Zeng, Jingjing & Hensher, David A., 2023. "An efficient approach to structural breaks and the case of automobile gasoline consumption in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    4. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    5. Raghavan, Mala, 2019. "An analysis of the global oil market using SVARMA models," Working Papers 2019-01, University of Tasmania, Tasmanian School of Business and Economics.
    6. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    7. Ahmed BenSaïda, 2025. "Contemporaneous Spillovers Across Foreign Exchange Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 4197-4211, October.
    8. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    9. Erdenebat Bataa & Marwan Izzeldin & Denise Osborn, 2015. "Changes in the global oil market," Working Papers 75761696, Lancaster University Management School, Economics Department.
    10. Dirk-Jan van de Ven & Roger Fouquet, 2014. "Historical energy price shocks and their changing effects on the economy," GRI Working Papers 153, Grantham Research Institute on Climate Change and the Environment.
    11. Fabio Santeramo, 2015. "A cursory review of the identification strategies," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-8, December.
    12. James D. Hamilton, 2021. "Measuring global economic activity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 293-303, April.
    13. Han, Xu, 2015. "Tests for overidentifying restrictions in Factor-Augmented VAR models," Journal of Econometrics, Elsevier, vol. 184(2), pages 394-419.
    14. Xian, Hui & Gregory, Colson & Michael, Wetzstein, 2015. "Impact of nonrenewable on renewable energy: The case of wood pellets," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196833, Southern Agricultural Economics Association.
    15. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
    16. Lodge, David & Manu, Ana-Simona, 2022. "EME financial conditions: Which global shocks matter?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    17. Fratzscher, Marcel & Rieth, Malte, 2019. "Monetary Policy, Bank Bailouts and the Sovereign-Bank Risk Nexus in the Euro Area," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(4), pages 745-775.
    18. Jadidzadeh, Ali & Serletis, Apostolos, 2017. "How does the U.S. natural gas market react to demand and supply shocks in the crude oil market?," Energy Economics, Elsevier, vol. 63(C), pages 66-74.
    19. Herwartz, Helmut & Theilen, Bernd & Wang, Shu, 2024. "Unraveling the structural sources of oil production and their impact on CO2 emissions," Energy Economics, Elsevier, vol. 132(C).
    20. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    21. Glück, Thorsten & Adams, Zeno, 2025. "Systemic risk of commodity traders," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    22. Yin, Libo & Zhou, Yimin, 2016. "What drives long-term oil market volatility? Fundamentals versus Speculation," Economics Discussion Papers 2016-2, Kiel Institute for the World Economy.
    23. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    24. James D. Hamilton, 2019. "Measuring Global Economic Activity," NBER Working Papers 25778, National Bureau of Economic Research, Inc.
    25. Gong, Xu & Lin, Boqiang, 2018. "Time-varying effects of oil supply and demand shocks on China's macro-economy," Energy, Elsevier, vol. 149(C), pages 424-437.
    26. Oliver Holtemöller & Alexander Kriwoluzky & Boreum Kwak, 2024. "Is There an Information Channel of Monetary Policy?," Discussion Papers of DIW Berlin 2084, DIW Berlin, German Institute for Economic Research.
    27. Carriero, Andrea & Marcellino, Massimiliano & Tornese, Tommaso, 2024. "Blended identification in structural VARs," Journal of Monetary Economics, Elsevier, vol. 146(C).
    28. Lodge, David & Manu, Ana-Simona & Van Robays, Ine, 2024. "China's footprint in global financial markets," BOFIT Discussion Papers 1/2024, Bank of Finland Institute for Emerging Economies (BOFIT).
    29. Daniele Valenti, 2018. "Modelling the Global Price of Oil: Is there any Role for the Oil Futures-spot Spread?," Working Papers 2018.06, Fondazione Eni Enrico Mattei.
    30. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    31. Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
    32. ElFayoumi, Khalid, 2018. "The balance sheet effects of oil market shocks: An industry level analysis," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 112-127.
    33. Bruns, Martin & Lütkepohl, Helmut, 2023. "Have the effects of shocks to oil price expectations changed?," Economics Letters, Elsevier, vol. 233(C).
    34. Nguyen, Bao H. & Okimoto, Tatsuyoshi, 2019. "Asymmetric reactions of the US natural gas market and economic activity," Energy Economics, Elsevier, vol. 80(C), pages 86-99.
    35. Lütkepohl, Helmut & Netésunajev, Aleksei, 2014. "Structural vector autoregressions with smooth transition in variances: The interaction between US monetary policy and the stock market," SFB 649 Discussion Papers 2014-031, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    36. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    37. Stella Chinye Chiemeke & Omokhagbo Mike Imafidor, 2020. "An assessment of the impact of digital technology adoption on economic growth and labour productivity in Nigeria," Netnomics, Springer, vol. 21(1), pages 103-128, December.
    38. Nguyen, Bao H. & Okimoto, Tatsuyoshi & Tran, Trung Duc, 2022. "Uncertainty-dependent and sign-dependent effects of oil market shocks," Journal of Commodity Markets, Elsevier, vol. 26(C).
    39. Michael Hachula & Malte Rieth, 2020. "Estimating the Impact of Financial Investments on Agricultural Futures Prices using Changes in Volatility," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 759-785, May.
    40. Hou, Chenghan & Nguyen, Bao H., 2018. "Understanding the US natural gas market: A Markov switching VAR approach," Energy Economics, Elsevier, vol. 75(C), pages 42-53.
    41. Puonti, Päivi, 2016. "Fiscal multipliers in a structural VEC model with mixed normal errors," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 144-154.
    42. Nautz, Dieter & Netsunajew, Aleksei & Strohsal, Till, 2017. "The Anchoring of Inflation Expectations in the Short and in the Long Run," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168075, Verein für Socialpolitik / German Economic Association.
    43. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    44. Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017. "Identification and estimation of non-Gaussian structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
    45. Herwartz, Helmut & Plödt, Martin, 2016. "The macroeconomic effects of oil price shocks: Evidence from a statistical identification approach," Journal of International Money and Finance, Elsevier, vol. 61(C), pages 30-44.

Articles

  1. Helmut Lütkepohl & Mika Meitz & Aleksei Netšunajev & Pentti Saikkonen, 2021. "Testing identification via heteroskedasticity in structural vector autoregressive models," The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 1-22.
    See citations under working paper version above.
  2. Konstantin A. Kholodilin & Aleksei Netsunajev, 2019. "Crimea and punishment: the impact of sanctions on Russian economy and economies of the euro area," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 39-51.

    Cited by:

    1. Özge Korkmaz & Semih Karacan, 2024. "The Impact of the Russo-Ukrainian War on the Bilateral Trade in the Region: Evidence from a Panel Gravity Model," Foreign Trade Review, , vol. 59(3), pages 412-428, August.
    2. Jerg Gutmann & Matthias Neuenkirch & Florian Neumeier, 2024. "Do China and Russia undermine Western sanctions? Evidence from DiD and event study estimation," Review of International Economics, Wiley Blackwell, vol. 32(1), pages 132-160, February.
    3. Pavel Dovbnya, 2020. "Announcements of Sanctions and the Russian Equity Market: An Event Study Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 74-92, March.
    4. Korhonen, I., 2019. "Sanctions and Counter-Sanctions - What Are their Economic Effects in Russia and Elsewhere?," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 184-190.
    5. Shakib, Mohammed & Sohag, Kazi & Hassan, M. Kabir & Vasilyeva, Rogneda, 2023. "Finance and export diversifications Nexus in Russian regions: Role of trade globalization and regional potential," Emerging Markets Review, Elsevier, vol. 57(C).
    6. Zareei, Afsaneh & Wadensjö, Eskil, 2024. "Sanctions and Their Effects on the Labor Market and the Economy," IZA Discussion Papers 17467, IZA Network @ LISER.
    7. Jakub Horak, 2021. "Sanctions as a Catalyst for Russia’s and China’s Balance of Trade: Business Opportunity," JRFM, MDPI, vol. 14(1), pages 1-26, January.
    8. Morad Bali, 2020. "Methodological Limitations of the Literature in the Study of Economic Sanctions, the Ukrainian Crisis Case," Post-Print hal-02472943, HAL.
    9. Jerg Gutmann & Matthias Neuenkirch & Florian Neumeier, 2021. "The Economic Effects of International Sanctions: An Event Study," CESifo Working Paper Series 9007, CESifo.
    10. Nguyen, Trung Thanh & Do, Manh Hung, 2021. "Impact of economic sanctions and counter-sanctions on the Russian Federation’s trade," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 267-278.
    11. Mirzosaid Sultonov, 2020. "The Impact of International Sanctions on Russian Financial Markets," Economies, MDPI, vol. 8(4), pages 1-14, December.
    12. Petrevski, Goran, 2025. "Economic sanctions and output growth: Empirical evidence," EconStor Preprints 325283, ZBW - Leibniz Information Centre for Economics.
    13. Bali, Morad & Rapelanoro, Nady, 2021. "How to simulate international economic sanctions: A multipurpose index modelling illustrated with EU sanctions against Russia," International Economics, Elsevier, vol. 168(C), pages 25-39.
    14. Anna Miromanova, 2023. "Quantifying the trade‐reducing effect of embargoes: Firm‐level evidence from Russia," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(3), pages 1121-1160, August.
    15. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
    16. Kotbee Shin & Bo-Young Choi & Indira Shamsutdinova, 2025. "Unraveling the Impact of Russian Sanctions and Oil Prices on Exchange Rate: A Comparative Approach," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 67(4), pages 723-749, December.
    17. Drapkin, I. & Simachev, Yu. & Fedyunina, A. & Pastukhova, P., 2025. "The impact of financial sanctions on countries' participation in global value chains: An assessment with the synthetic control method," Journal of the New Economic Association, New Economic Association, vol. 69(4), pages 151-172.
    18. Francisco Rodr'iguez, 2022. "Sanctions and Imports of Essential Goods: A Closer Look at the Equipo Anova (2021) Results," Papers 2212.09904, arXiv.org.
    19. Prilepskiy, I., 2019. "Financial Sanctions: Impact on Capital flows and GDP Growth in Russia," Journal of the New Economic Association, New Economic Association, vol. 43(3), pages 163-172.
    20. Morad Bali & Thanh T. Nguyen & Lincoln F. Pratson, 2024. "Impacts of EU Sanctions Levied in 2014 on Individual European Countries' Exports to Russia: Winners and Losers," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 50(2), pages 154-194, April.
    21. Mikhail Mamonov & Anna Pestova, 2021. ""Sorry, You're Blocked." Economic Effects of Financial Sanctions on the Russian Economy," CERGE-EI Working Papers wp704, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    22. Iikka Korhonen, 2020. "Economic Sanctions on Russia and Their Effects," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(04), pages 19-22, January.
    23. Simola, Heli, 2023. "What the literature says about the effects of sanctions on Russia," BOFIT Policy Briefs 8/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    24. Sziklai, Balázs R. & Kóczy, László Á. & Csercsik, Dávid, 2020. "The impact of Nord Stream 2 on the European gas market bargaining positions," Energy Policy, Elsevier, vol. 144(C).
    25. Anna Miromanova, 2023. "The effectiveness of embargoes: Evidence from Russia," The World Economy, Wiley Blackwell, vol. 46(4), pages 906-940, April.
    26. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    27. Mohammed Shakib, 2023. "Innovation-Export Diversification Nexus in Russian Regions: Does Trade Globalization, Business Potential and Geopolitics Matter?," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 932-974.
    28. Rodriguez, Francisco, 2022. "Sanctions and Imports of Essential Goods; A Closer Look at the Equipo Anova (2021) Results," MPRA Paper 115714, University Library of Munich, Germany.
    29. Mikhail Mamonov & Anna Pestova, 2023. "The Price of War: Macroeconomic and Cross-Sectional Effects of Sanctions on Russia," CERGE-EI Working Papers wp756, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    30. Mirzosaid Sultonov, 2022. "Regional Economic and Financial Interconnectedness and the Impact of Sanctions: The Case of the Commonwealth of Independent States," JRFM, MDPI, vol. 15(12), pages 1-18, November.
    31. Huai, Jingliang & Cheung, Adrian (Wai Kong) & Wang, Bin, 2026. "On completing the connectedness analysis—A bootstrap-based DCC-GARCH approach," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).

  3. Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
    See citations under working paper version above.
  4. Helmut Lütkepohl & Aleksei Netšunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Econometrics, MDPI, vol. 6(3), pages 1-14, August.
    See citations under working paper version above.
  5. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.

    Cited by:

    1. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    2. Corsi, Fulvio & Longo, Luigi & Cordoni, Francesco, 2025. "SVAR identification with nowcasted macroeconomic data," Journal of Economic Dynamics and Control, Elsevier, vol. 179(C).
    3. Hu, Zhepeng & Yan, Lei & Yuan, Jinghong & Etienne, Xiaoli, 2023. "Deconstructing Fertilizer Price Spikes: Evidence from Chinese Urea Fertilizer Market," 2023 Conference, April 24-25, 2023, St. Louis, Missouri 379028, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Herwartz, Helmut & Theilen, Bernd & Wang, Shu, 2024. "Unraveling the structural sources of oil production and their impact on CO2 emissions," Energy Economics, Elsevier, vol. 132(C).
    5. Hu, Zhepeng & Huang, Joshua & Yan, Lei & Yuan, Jinghong, 2023. "Deconstructing Urea Fertilizer Price Spikes: The Role of Supply-Demand, Speculation, and Energy Prices," 2023 Annual Meeting, July 23-25, Washington D.C. 335529, Agricultural and Applied Economics Association.
    6. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    7. Ahmadi, Maryam & Manera, Matteo & Sadeghzadeh, Mehdi, 2019. "The investment-uncertainty relationship in the oil and gas industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    8. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    9. Helmut Lütkepohl & Aleksei Netsunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Discussion Papers of DIW Berlin 1729, DIW Berlin, German Institute for Economic Research.
    10. Robin Braun & Ralf Brüggemann, 2017. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2017-07, Department of Economics, University of Konstanz.

  6. Netšunajev, Aleksei & Glass, Katharina, 2017. "Uncertainty and employment dynamics in the euro area and the US," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 48-62.

    Cited by:

    1. Jackman, Mahalia & Williams, Lianna, 2026. "The nonlinear effects of global economic policy uncertainty on individual unemployment: Micro-Level evidence of heterogeneities and asymmetries," The Journal of Economic Asymmetries, Elsevier, vol. 33(C).
    2. Michel C. de Souza, 2023. "On the transmission of us uncertainty shocks to the European labor market," Economics Bulletin, AccessEcon, vol. 43(4), pages 1666-1679.
    3. Sangyup Choi & Davide Furceri & Seung Yong Yoo, 2023. "Heterogeneity in the Effects of Uncertainty Shocks on Labor Market Dynamics and Extensive vs. Intensive Margins of Adjustment," Working papers 2023rwp-222, Yonsei University, Yonsei Economics Research Institute.
    4. Fontaine, Idriss & Razafindravaosolonirina, Justinien & Didier, Laurent, 2018. "Chinese policy uncertainty shocks and the world macroeconomy: Evidence from STVAR," China Economic Review, Elsevier, vol. 51(C), pages 1-19.
    5. Oscar Claveria, 2020. "Measuring and assessing economic uncertainty," IREA Working Papers 202011, University of Barcelona, Research Institute of Applied Economics, revised Jul 2020.
    6. Petar Soric & Oscar Claveria, 2021. "“Employment uncertainty a year after the irruption of the covid-19 pandemic”," AQR Working Papers 202104, University of Barcelona, Regional Quantitative Analysis Group, revised May 2021.
    7. Jalles, João Tovar & Karras, Georgios, 2026. "Sailing through uncertainty: Inspecting mechanisms in advanced and developing economies," Journal of Macroeconomics, Elsevier, vol. 88(C).
    8. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
    9. Ueda, Renan Mitsuo & Souza, Adriano Mendonça & Menezes, Rui Manuel Campilho Pereira, 2020. "How macroeconomic variables affect admission and dismissal in the Brazilian electro-electronic sector: A VAR-based model and cluster analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    10. Oscar Claveria & Petar Sorić, 2023. "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, vol. 64(4), pages 1897-1945, April.
    11. Herwartz, Helmut & Maxand, Simone & Rohloff, Hannes, 2018. "Lean against the wind or float with the storm? Revisiting the monetary policy asset price nexus by means of a novel statistical identification approach," University of Göttingen Working Papers in Economics 354, University of Goettingen, Department of Economics.
    12. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Aygun, Gurcan & Wohar, Mark E., 2022. "The macroeconomic impact of economic uncertainty and financial shocks under low and high financial stress," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. Oscar Claveria, 2021. "Uncertainty indicators based on expectations of business and consumer surveys," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 483-505, May.
    14. Salah A. Nusair & Dennis Olson, 2026. "The Asymmetric Effects of Economic Policy Uncertainty Changes on Unemployment in the G7 Countries," Open Economies Review, Springer, vol. 37(1), pages 63-114, March.
    15. Fontaine, Idriss & Didier, Laurent & Razafindravaosolonirina, Justinien, 2017. "Foreign policy uncertainty shocks and US macroeconomic activity: Evidence from China," Economics Letters, Elsevier, vol. 155(C), pages 121-125.
    16. Dibiasi, Andreas & Abberger, Klaus & Siegenthaler, Michael & Sturm, Jan-Egbert, 2018. "The effects of policy uncertainty on investment: Evidence from the unexpected acceptance of a far-reaching referendum in Switzerland," European Economic Review, Elsevier, vol. 104(C), pages 38-67.
    17. Jan Prüser & Alexander Schlösser, 2020. "The effects of economic policy uncertainty on European economies: evidence from a TVP-FAVAR," Empirical Economics, Springer, vol. 58(6), pages 2889-2910, June.
    18. Horvath, Jaroslav & Zhong, Jiansheng, 2019. "Unemployment dynamics in emerging countries: Monetary policy and external shocks," Economic Modelling, Elsevier, vol. 76(C), pages 31-49.
    19. Arigoni, Filippo & Lenarčič, Črt, 2023. "Foreign economic policy uncertainty shocks and real activity in the Euro area," MPRA Paper 120022, University Library of Munich, Germany.
    20. Chan, Kam Fong & Smales, Lee A., 2025. "U.S. Presidential news coverage: Risk, uncertainty and stocks," International Review of Economics & Finance, Elsevier, vol. 98(C).
    21. Marianna Oliskevych & Iryna Lukianenko, 2020. "European unemployment nonlinear dynamics over the business cycles: Markov switching approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 22(4), pages 375-401.
    22. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.
    23. Manocha, Parul & Hunt, Richard A. & Stallkamp, Maximilian & Townsend, David M., 2024. "A tale of two impacts: Entrepreneurial action and the gender-related effects of economic policy uncertainty," Journal of Business Venturing Insights, Elsevier, vol. 21(C).
    24. Prüser, Jan & Schlösser, Alexander, 2017. "The effects of economic policy uncertainty on European economies: Evidence from a TVP-FAVAR," Ruhr Economic Papers 708, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  7. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.

    Cited by:

    1. Mugaloglu, Erhan & Kocak, Emrah & Bulut, Umit, 2025. "News intensity and volatility dynamics in large- and small-cap stocks: A non-gaussian SVAR approach," Finance Research Letters, Elsevier, vol. 86(PA).
    2. Lütkepohl, Helmut & Schlaak, Thore, 2019. "Bootstrapping impulse responses of structural vector autoregressive models identified through GARCH," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 41-61.
    3. Keweloh, Sascha A. & Hetzenecker, Stephan & Seepe, Andre, 2023. "Monetary policy and information shocks in a block-recursive SVAR," Journal of International Money and Finance, Elsevier, vol. 137(C).
    4. Ahmed BenSaïda, 2025. "Contemporaneous Spillovers Across Foreign Exchange Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(4), pages 4197-4211, October.
    5. BenSaïda, Ahmed & Litimi, Houda & Abdallah, Oussama, 2018. "Volatility spillover shifts in global financial markets," Economic Modelling, Elsevier, vol. 73(C), pages 343-353.
    6. Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
    7. Granados, Camilo & Parra-Amado, Daniel, 2026. "Output gap measurement after COVID for Colombia: Lessons from a permanent-transitory approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 7(3).
    8. Hu, Zhepeng & Yan, Lei & Yuan, Jinghong & Etienne, Xiaoli, 2025. "Deconstructing fertilizer price spikes: Evidence from Chinese urea fertilizer market," Food Policy, Elsevier, vol. 133(C).
    9. Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
    10. Sascha A. Keweloh & Shu Wang, 2026. "Uncertain Short‐Run Restrictions and Statistically Identified Structural Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 41(1), pages 12-25, January.
    11. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
    12. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
    13. Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    14. Lütkepohl, Helmut & Shang, Fei & Uzeda, Luis & Woźniak, Tomasz, 2026. "Partial identification of structural vector autoregressions with non-centred stochastic volatility," Journal of Econometrics, Elsevier, vol. 256(PB).
    15. Helmut Lütkepohl & Aleksei Netsunajev, 2018. "The Relation between Monetary Policy and the Stock Market in Europe," Discussion Papers of DIW Berlin 1729, DIW Berlin, German Institute for Economic Research.
    16. Reinhold Heinlein & Scott M. R. Mahadeo, 2023. "Oil and US stock market shocks: Implications for Canadian equities," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(1), pages 247-287, February.
    17. Maxand, Simone, 2020. "Identification of independent structural shocks in the presence of multiple Gaussian components," Econometrics and Statistics, Elsevier, vol. 16(C), pages 55-68.
    18. Ngomba Bodi, Francis Ghislain, 2018. "Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC [Relative contributions of aggregate demand and supply shocks to business cycles fluctuations in the CEMAC subregion]," MPRA Paper 116376, University Library of Munich, Germany.
    19. Baldi, Guido & Lange, Alexander, 2019. "The Interest Rate Sensitivity of Investment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(2), pages 173-190.

  8. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    See citations under working paper version above.
  9. Helmut Lütkepohl & Aleksei NetŠunajev, 2014. "Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
    See citations under working paper version above.
  10. Netsunajev, Aleksei, 2013. "Reaction to technology shocks in Markov-switching structural VARs: Identification via heteroskedasticity," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 51-62.
    See citations under working paper version above.
  11. Grigori Fainštein & Aleksei Netšunajev, 2010. "Foreign Trade Patterns Between Estonia and the EU," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(3), pages 311-324, August.

    Cited by:

    1. Mitchell Kellman & Mitchell Yochanan Shachmurove, 2012. "Trade Sophistication in a Transition Economy: Poland 1980–2009," Working Papers 64, Department of Applied Econometrics, Warsaw School of Economics.
    2. Sumi, Asma Akter & Hossain, Md. Monzur & Islam, Md. Sohanul & Acharjee, Partha & Hossain, Md Shafiul & Bairagi, Mithun, 2025. "Trade Performance and Specialization Dynamics of the Five Most Traded Products between Bangladesh and the Rest of the SAARC Countries," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 15(2), pages 28-38, February.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.