International vulnerability of inflation
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- Jordi Galí, 2010. "Commentary: Inflation Pressures and Monetary Policy in a Global Economy," International Journal of Central Banking, International Journal of Central Banking, vol. 6(1), pages 93-102, March.
- Raphael A. Auer & Andrei A. Levchenko & Philip Sauré, 2019.
"International Inflation Spillovers through Input Linkages,"
The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 507-521, July.
- Raphael A. Auer & Andrei A. Levchenko & Philip U. Sauré, 2017. "International Inflation Spillovers Through Input Linkages," Working Papers 2017-03, Swiss National Bank.
- Philip Sauré & Andrei Levchenko & Raphael Auer, 2017. "International Inflation Spillovers Through Input Linkages," 2017 Meeting Papers 1208, Society for Economic Dynamics.
- Raphael Auer & Andrei A Levchenko & Philip Sauré, 2017. "International inflation spillovers through input linkages," BIS Working Papers 623, Bank for International Settlements.
- Auer, Raphael & Levchenko, Andrei & Sauré, Philip, 2017. "International Inflation Spillovers Through Input Linkages," CEPR Discussion Papers 11906, C.E.P.R. Discussion Papers.
- Raphael A. Auer & Andrei A. Levchenko & Philip Sauré, 2017. "International Inflation Spillovers Through Input Linkages," NBER Working Papers 23246, National Bureau of Economic Research, Inc.
- Raphael A. Auer & Andrei A. Levchenko & Philip Saure, 2017. "International Inflation Spillovers Through Input Linkages," Working Papers 655, Research Seminar in International Economics, University of Michigan.
- Raphael A. Auer & Andrei A. Levchenko & Philip Sauré, 2017. "International Inflation Spillovers Through Input Linkages," CESifo Working Paper Series 6395, CESifo.
- Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017.
"Rolling window selection for out-of-sample forecasting with time-varying parameters,"
Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
- Atsushi Inoue & Lu Jin & Barbara Rossi, 2014. "Rolling Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters," Working Papers 768, Barcelona School of Economics.
- Atsushi Inoue & Lu Jin & Barbara Rossi, 2014. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Economics Working Papers 1435, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2016.
- Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
- Raffaella Giacomini & Halbert White, 2006.
"Tests of Conditional Predictive Ability,"
Econometrica, Econometric Society, vol. 74(6), pages 1545-1578, November.
- Raffaella Giacomini & Halbert White, 2003. "Tests of conditional predictive ability," Boston College Working Papers in Economics 572, Boston College Department of Economics.
- Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
- Raffaella Giacomini & Halbert White, 2003. "Tests of Conditional Predictive Ability," Econometrics 0308001, University Library of Munich, Germany.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2015.
"What Drives Oil Prices? Emerging Versus Developed Economies,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(7), pages 1013-1028, November.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Paper 2012/11, Norges Bank.
- Knut Are Aastveit & Hilde C. Bjornland, 2013. "What drives oil prices? Emerging versus developed economies," CAMA Working Papers 2013-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Knut Are Aastveit & Hilde C. Bjørnland & Leif Anders Thorsrud, 2012. "What drives oil prices? Emerging versus developed economies," Working Papers No 2/2012, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Haroon Mumtaz & Alberto Musso, 2021.
"The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
- Haroon Mumtaz & Alberto Musso, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Papers 866, Queen Mary University of London, School of Economics and Finance.
- Mumtaz, Haroon & Musso, Alberto, 2018. "The evolving impact of global, region-specific and country-specific uncertainty," Working Paper Series 2147, European Central Bank.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Andrade, Philippe & Fourel, Valère & Ghysels, Eric & Idier, Julien, 2014.
"The financial content of inflation risks in the euro area,"
International Journal of Forecasting, Elsevier, vol. 30(3), pages 648-659.
- Andrade, P. & Fourel, V. & Ghysels, E. & Idier, I., 2013. "The financial content of inflation risks in the euro area," Working papers 437, Banque de France.
- Lutz Kilian & Simone Manganelli, 2007.
"Quantifying the Risk of Deflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 561-590, March.
- Lutz Kilian & Simone Manganelli, 2007. "Quantifying the Risk of Deflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 561-590, March.
- Lutz KILIAN & Simone MANGANELLI, 2010. "Quantifying the Risk of Deflation," EcoMod2004 330600076, EcoMod.
- Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2023.
"One-stop source: A global database of inflation,"
Journal of International Money and Finance, Elsevier, vol. 137(C).
- Ha,Jongrim & Kose,Ayhan & Ohnsorge,Franziska Lieselotte, 2021. "One-Stop Source : A Global Database of Inflation," Policy Research Working Paper Series 9737, The World Bank.
- Kose, M. Ayhan & Ha, Jongrim & Ohnsorge, Franziska, 2021. "One-Stop Source: A Global Database of Inflation," CEPR Discussion Papers 16327, C.E.P.R. Discussion Papers.
- Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "One-stop source: A global database of inflation," CAMA Working Papers 2021-59, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2021. "One-Stop Source: A Global Database of Inflation," MPRA Paper 108678, University Library of Munich, Germany.
- Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "One-Stop Source: A Global Database of Inflation," Koç University-TUSIAD Economic Research Forum Working Papers 2107, Koc University-TUSIAD Economic Research Forum.
- M. Ayhan Kose & Christopher Otrok & Eswar Prasad, 2012.
"Global Business Cycles: Convergence Or Decoupling?,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 511-538, May.
- M. Ayhan Kose & Christopher Otrok & Eswar S. Prasad, 2008. "Global Business Cycles: Convergence or Decoupling?," NBER Working Papers 14292, National Bureau of Economic Research, Inc.
- Kose, M. Ayhan & Otrok, Christopher & Prasad, Eswar, 2008. "Global Business Cycles: Convergence or Decoupling?," IZA Discussion Papers 3442, Institute of Labor Economics (IZA).
- Mr. Ayhan Kose & Mr. Eswar S Prasad & Mr. Christopher Otrok, 2008. "Global Business Cycles: Convergence or Decoupling?," IMF Working Papers 2008/143, International Monetary Fund.
- Kose, M. Ayhan & Otrok, Christopher M. & Prasad, Eswar S., 2008. "Global business cycles: convergence or decoupling?," Discussion Paper Series 1: Economic Studies 2008,17, Deutsche Bundesbank.
- Michael W. McCracken & Serena Ng, 2016.
"FRED-MD: A Monthly Database for Macroeconomic Research,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
- Michael W. McCracken & Serena Ng, 2015. "FRED-MD: A Monthly Database for Macroeconomic Research," Working Papers 2015-12, Federal Reserve Bank of St. Louis.
- Peter Reinhard Hansen & Allan Timmermann, 2012.
"Choice of Sample Split in Out-of-Sample Forecast Evaluation,"
CREATES Research Papers
2012-43, Department of Economics and Business Economics, Aarhus University.
- Peter Reinhard HANSEN & Allan TIMMERMANN, 2012. "Choice of Sample Split in Out-of-Sample Forecast Evaluation," Economics Working Papers ECO2012/10, European University Institute.
- Antoine A. Djogbenou, 2020.
"Comovements in the real activity of developed and emerging economies: A test of global versus specific international factors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(3), pages 344-370, April.
- Antoine A. Djogbenou, 2018. "Comovements In The Real Activity Of Developed And Emerging Economies: A Test Of Global Versus Specific International Factors," Working Paper 1392, Economics Department, Queen's University.
- Raffaella Giacomini & Barbara Rossi, 2010.
"Forecast comparisons in unstable environments,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 595-620.
- Giacomini, Raffaella & Rossi, Barbara, 2008. "Forecast Comparisons in Unstable Environments," Working Papers 08-04, Duke University, Department of Economics.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022.
"The global component of inflation volatility,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
- Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
- Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
- Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010.
"New Eurocoin: Tracking Economic Growth in Real Time,"
The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
- Lippi, Marco & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni, 2006. "New EuroCOIN: Tracking Economic Growth in Real Time," CEPR Discussion Papers 5633, C.E.P.R. Discussion Papers.
- Mario Forni & Filippo Altissimo & Riccardo Cristadoro & Marco Lippi & Giovanni Veronese., 2008. "New Eurocoin: Tracking Economic Growth in Real Time," Center for Economic Research (RECent) 020, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
- Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2007. "New Eurocoin: Tracking Economic Growth in Real Time," Temi di discussione (Economic working papers) 631, Bank of Italy, Economic Research and International Relations Area.
- Victor Chernozhukov & Iván Fernández-Val & Blaise Melly, 2022.
"Fast algorithms for the quantile regression process,"
Empirical Economics, Springer, vol. 62(1), pages 7-33, January.
- Victor Chernozhukov & Iv'an Fern'andez-Val & Blaise Melly, 2019. "Fast Algorithms for the Quantile Regression Process," Papers 1909.05782, arXiv.org, revised Apr 2020.
- Tilmann Gneiting & Roopesh Ranjan, 2011. "Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 411-422, July.
- Onno Kleen, 2024. "Scaling and measurement error sensitivity of scoring rules for distribution forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 833-849, August.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Stock, James H. & Watson, Mark W., 1999.
"Forecasting inflation,"
Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
- James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
- Gianni De Nicolò & Marcella Lucchetta, 2017.
"Forecasting Tail Risks,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 159-170, January.
- Gianni De Nicolò & Marcella Lucchetta, 2015. "Forecasting Tail Risks," CESifo Working Paper Series 5286, CESifo.
- Marcelo C. Medeiros & Gabriel F. R. Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2021.
"Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 98-119, January.
- Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.
- Pfarrhofer, Michael, 2022.
"Modeling tail risks of inflation using unobserved component quantile regressions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
- Mahir Binici & Samuele Centorrino & Serhan Cevik & Gyowon Gwon, 2024.
"Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe,"
International Journal of Central Banking, International Journal of Central Banking, vol. 20(2), pages 237-290, April.
- Mahir Binici & Samuele Centorrino & Mr. Serhan Cevik & Gyowon Gwon, 2022. "Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe," IMF Working Papers 2022/241, International Monetary Fund.
- Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.
- Arango-Castillo, Lenin & Orraca, María José & Molina, G. Stefano, 2023. "The global component of headline and core inflation in emerging market economies and its ability to improve forecasting performance," Economic Modelling, Elsevier, vol. 120(C).
- Manzan, Sebastiano & Zerom, Dawit, 2013.
"Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?,"
International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
- Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany.
- Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024.
"Expecting the unexpected: Stressed scenarios for economic growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
- Lutz Kilian & Simone Manganelli, 2008.
"The Central Banker as a Risk Manager: Estimating the Federal Reserve's Preferences under Greenspan,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1103-1129, September.
- Lutz Kilian & Simone Manganelli, 2008. "The Central Banker as a Risk Manager: Estimating the Federal Reserve's Preferences under Greenspan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1103-1129, September.
- Kilian, Lutz & Manganelli, Simone, 2007. "The Central Banker as a Risk Manager: Estimating the Federal Reserve's Preferences under Greenspan," CEPR Discussion Papers 6031, C.E.P.R. Discussion Papers.
- Gneiting, Tilmann & Ranjan, Roopesh, 2011. "Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(3), pages 411-422.
- In Choi & Dukpa Kim & Yun Jung Kim & Noh‐Sun Kwark, 2018.
"A multilevel factor model: Identification, asymptotic theory and applications,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 355-377, April.
- In Choi & Dukpa Kim & Yun Jung Kim & Noh-Sun Kwark, 2016. "A Multilevel Factor Model: Identification, Asymptotic Theory and Applications," Working Papers 1609, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Banerjee, Ryan & Contreras, Juan & Mehrotra, Aaron & Zampolli, Fabrizio, 2024. "Inflation at risk in advanced and emerging market economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
- Xu Han, 2021. "Shrinkage Estimation of Factor Models With Global and Group-Specific Factors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 1-17, January.
- Rodríguez-Caballero, Carlos Vladimir & Caporin, Massimiliano, 2019.
"A multilevel factor approach for the analysis of CDS commonality and risk contribution,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
- Carlos Vladimir Rodríguez-Caballero & Massimiliano Caporin, 2018. "A multilevel factor approach for the analysis of CDS commonality and risk contribution," CREATES Research Papers 2018-33, Department of Economics and Business Economics, Aarhus University.
- Xu, Qifa & Niu, Xufeng & Jiang, Cuixia & Huang, Xue, 2015. "The Phillips curve in the US: A nonlinear quantile regression approach," Economic Modelling, Elsevier, vol. 49(C), pages 186-197.
- Antoine A. Djogbenou, 2024. "Identifying oil price shocks with global, developed, and emerging latent real economy activity factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 128-149, January.
- Matteo Barigozzi & Marc Hallin, 2024.
"The Dynamic, the Static, and the Weak Factor Models and the Analysis of High-Dimensional Time Series,"
Working Papers ECARES
2024-14, ULB -- Universite Libre de Bruxelles.
- Matteo Barigozzi & Marc Hallin, 2024. "The Dynamic, the Static, and the Weak factor models and the analysis of high-dimensional time series," Papers 2407.10653, arXiv.org.
- Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016.
"Systemic risk and the macroeconomy: An empirical evaluation,"
Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
- Stefano Giglio & Bryan T. Kelly & Seth Pruitt, 2015. "Systemic Risk and the Macroeconomy: An Empirical Evaluation," NBER Working Papers 20963, National Bureau of Economic Research, Inc.
- Korobilis, Dimitris, 2017. "Quantile regression forecasts of inflation under model uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 11-20.
- Liu, Tie-Ying & Lee, Chien-Chiang, 2021. "Global convergence of inflation rates," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
- Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
- Fresoli, Diego & Poncela, Pilar & Ruiz, Esther, 2023. "Ignoring cross-correlated idiosyncratic components when extracting factors in dynamic factor models," Economics Letters, Elsevier, vol. 230(C).
- Adelchi Azzalini & Antonella Capitanio, 2003. "Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 367-389, May.
- Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
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- Busetti, Fabio & Caivano, Michele & Delle Monache, Davide & Pacella, Claudia, 2021.
"The time-varying risk of Italian GDP,"
Economic Modelling, Elsevier, vol. 101(C).
- Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020. "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers) 1288, Bank of Italy, Economic Research and International Relations Area.
- Yunyun Wang & Tatsushi Oka & Dan Zhu, 2024. "Inflation Target at Risk: A Time-varying Parameter Distributional Regression," Papers 2403.12456, arXiv.org.
- González-Rivera, Gloria & Maldonado, Javier & Ruiz, Esther, 2019.
"Growth in stress,"
International Journal of Forecasting, Elsevier, vol. 35(3), pages 948-966.
- González-Rivera, Gloria, 2018. "Growth in Stress," DES - Working Papers. Statistics and Econometrics. WS 26623, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Gloria Gonzalez-Rivera & Esther Ruiz & Javier Vicente, 2018. "Growth in Stress," Working Papers 201805, University of California at Riverside, Department of Economics.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022.
"Nowcasting tail risk to economic activity at a weekly frequency,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021. "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers 16496, C.E.P.R. Discussion Papers.
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This paper has been announced in the following NEP Reports:- NEP-MON-2024-12-02 (Monetary Economics)
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