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Christian Matthes

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.

    Mentioned in:

    1. What did Monty Python metaphors ever do for us?
      by Tony Yates in longandvariable on 2018-05-01 09:54:34
  2. Régis Barnichon & Christian Matthes, 2017. "The Natural Rate of Unemployment over the Past 100 Years," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

    Mentioned in:

    1. Navigating in Cloudy Skies
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-12-10 12:14:25

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Paul Ho & Thomas A. Lubik & Christian Matthes, 2020. "How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters," Working Paper 20-10, Federal Reserve Bank of Richmond.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Modelling > Statistical Modelling

Working papers

  1. Thomas Lubik & Christian Matthes & Elmar Mertens, 2022. "Online Appendix to "Indeterminacy and Imperfect Information"," Online Appendices 20-377, Review of Economic Dynamics.

    Cited by:

    1. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Qazi Haque & Nicolas Groshenny & Mark Weder, 2019. "Do We Really Know that U.S. Monetary Policy was Destabilizing in the 1970s?," Economics Discussion / Working Papers 19-11, The University of Western Australia, Department of Economics.
    3. Jia, Chengcheng, 2023. "The informational effect of monetary policy and the case for policy commitment," European Economic Review, Elsevier, vol. 156(C).
    4. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.

  2. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2021. "Economic theories and macroeconomic reality," Discussion Papers 56/2021, Deutsche Bundesbank.

    Cited by:

    1. KANO, Takashi, 2023. "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series HIAS-E-128, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    2. Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
    3. Joshua C. C. Chan, 2022. "Asymmetric conjugate priors for large Bayesian VARs," Quantitative Economics, Econometric Society, vol. 13(3), pages 1145-1169, July.

  3. Andrew Foerster & Christian Matthes, 2020. "Learning about Regime Change," Working Paper Series 2020-15, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Jason Choi & Andrew T. Foerster, 2016. "Optimal monetary policy regime switches," Research Working Paper RWP 16-7, Federal Reserve Bank of Kansas City.
    2. John G. Fernald & Huiyu Li, 2021. "The Impact of COVID on Potential Output," Working Paper Series 2021-09, Federal Reserve Bank of San Francisco.
    3. Janice C. dup Eberly & John dup Fernald, 2022. "Jackson Hole 2022 - Reassessing Economic Constraints: Potential Output (The Impact of COVID on Productivity and Potential Output)," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, August.
    4. Antonio Pacifico, 2021. "Structural Panel Bayesian VAR with Multivariate Time-Varying Volatility to Jointly Deal with Structural Changes, Policy Regime Shifts, and Endogeneity Issues," Econometrics, MDPI, vol. 9(2), pages 1-35, May.

  4. Régis Barnichon & Davide Debortoli & Christian Matthes, 2020. "Understanding the Size of the Government Spending Multiplier: It’s in the Sign," Working Papers 1145, Barcelona School of Economics.

    Cited by:

    1. Hack, Lukas & Istrefi, Klodiana & Meier, Matthias, 2023. "Identification of systematic monetary policy," Working Paper Series 2851, European Central Bank.
    2. Alberto Alesina & Gualtiero Azzalini & Carlo Favero & Francesco Giavazzi & Armando Miano, 2016. "Is it the "How" or the "When" that Matters in Fiscal Adjustments?," NBER Working Papers 22863, National Bureau of Economic Research, Inc.
    3. Olivier Cardi & Romain Restout & Peter Claeys, 2019. "Imperfect mobility of labor across sectors and fiscal transmission," Working Papers hal-02400991, HAL.
    4. IWATA, Yasuharu & IIBOSHI, Hirokuni, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116355, University Library of Munich, Germany.
    5. Cem Cebi & K. Azim Ozdemir, 2016. "Cyclical Variation of Fiscal Multiplier in Turkey," Working Papers 1619, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    6. Tomohide Mineyama, 2024. "Downward Nominal Wage Rigidity and Determinacy of Equilibrium," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(1), pages 305-316, February.
    7. Kim, Hyeongwoo & Shao, Peng & Zhang, Shuwei, 2023. "Policy coordination and the effectiveness of fiscal stimulus," Journal of Macroeconomics, Elsevier, vol. 75(C).
    8. Alberto Alesina & Carlo Favero & Francesco Giavazzi, 2019. "Effects of Austerity: Expenditure- and Tax-Based Approaches," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 141-162, Spring.
    9. James Cloyne & Òscar Jordà & Alan M. Taylor, 2023. "State-Dependent Local Projections: Understanding Impulse Response Heterogeneity," NBER Working Papers 30971, National Bureau of Economic Research, Inc.
    10. Diniz, André, 2016. "Effects of fiscal consolidations in Latin America," Textos para discussão 423, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    11. Yoon J. Jo & Sarah Zubairy, 2022. "State Dependent Government Spending Multipliers: Downward Nominal Wage Rigidity and Sources of Business Cycle Fluctuations," NBER Working Papers 30025, National Bureau of Economic Research, Inc.
    12. Alloza, Mario & Burriel, Pablo & Pérez, Javier J., 2019. "Fiscal policies in the euro area: Revisiting the size of spillovers," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    13. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    14. Matteo Alpino & Zareh Asatryan & Sebastian Blesse & Nils Wehrhöfer, 2020. "Austerity and Distributional Policy," CESifo Working Paper Series 8644, CESifo.
    15. Maria Elkhdari & Moez Souissi & Mr. Andrew Jewell, 2018. "Empirical Estimation of Fiscal Multipliers in MENA Oil-Exporting Countries with an Application to Algeria," IMF Working Papers 2018/124, International Monetary Fund.
    16. Gorodnichenko, Yuriy & Auerbach, Alan & McCrory, Peter & Murphy, Daniel, 2021. "Fiscal Multipliers in the COVID19 Recession," CEPR Discussion Papers 16754, C.E.P.R. Discussion Papers.
    17. Siming Liu, 2018. "Government Spending during Sudden Stop Crises," CAEPR Working Papers 2018-002, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    18. van der Wielen, Wouter, 2020. "The macroeconomic effects of tax changes: Evidence using real-time data for the European Union," Economic Modelling, Elsevier, vol. 90(C), pages 302-321.
    19. Carmignani, Fabrizio, 2022. "The electoral fiscal multiplier," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 938-945.
    20. J r my Boccanfuso, 2022. "Consumption Response Heterogeneity and Dynamics with an Inattention Region," Working Papers wp1172, Dipartimento Scienze Economiche, Universita' di Bologna.
    21. Choi, Sangyup & Shin, Junhyeok, 2023. "Household indebtedness and the macroeconomic effects of tax changes," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 22-52.
    22. Hazell, Jonathon & Taska, Bledi, 2023. "Downward Rigidity in the Wage for New Hires," IZA Discussion Papers 16512, Institute of Labor Economics (IZA).
    23. Nadav Ben Zeev & Valerie A. Ramey & Sarah Zubairy, 2023. "Do Government Spending Multipliers Depend on the Sign of the Shock?," NBER Working Papers 31015, National Bureau of Economic Research, Inc.
    24. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
    25. Biolsi, Christopher, 2017. "Nonlinear effects of fiscal policy over the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 54-87.
    26. Wataru Miyamoto & Thuy Lan Nguyen & Dmitry Sergeyev, 2023. "How Oil Shocks Propagate: Evidence on the Monetary Policy Channel," Working Paper Series 2024-06, Federal Reserve Bank of San Francisco.
    27. Mario Alloza & Jesús Gonzalo & Carlos Sanz, 2019. "Dynamic effects of persistent shocks," Working Papers 1944, Banco de España.
    28. Mr. Tidiane Kinda & Andras Lengyel & Kaustubh Chahande, 2022. "Fiscal Multipliers During Pandemics," IMF Working Papers 2022/149, International Monetary Fund.
    29. Komarek, Timothy M. & Butts, Kyle & Wagner, Gary A., 2022. "Government Contracting, Labor Intensity, and the Local Effects of Fiscal Consolidation: Evidence from the Budget Control Act of 2011," Journal of Urban Economics, Elsevier, vol. 132(C).
    30. IIBOSHI, Hirokuni & IWATA, Yasuharu, 2023. "The Nexus between Public Debt and the Government Spending Multiplier: Fiscal Adjustments Matter," MPRA Paper 116347, University Library of Munich, Germany.
    31. Timo Wollmershäuser & Silvia Delrio & Marcell Göttert & Christian Grimme & Jochen Güntner & Carla Krolage & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Wolfgang Nierhaus & Magnus Reif & Ra, 2018. "ifo Economic Forecast Summer 2018: Storm Clouds Gather over German Economy," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(12), pages 33-87, June.
    32. Komarek, Timothy M. & Wagner, Gary A., 2020. "The distributional effects of job loss from fiscal consolidation: Evidence from the Budget Control Act of 2011," Economics Letters, Elsevier, vol. 196(C).
    33. Hussain, Syed M. & Liu, Lin, 2023. "Macroeconomic effects of government spending shocks: New narrative evidence from Canada," Journal of Macroeconomics, Elsevier, vol. 75(C).
    34. Räsänen, Johannes & Mäkelä, Erik, 2021. "The effect of government spending on local economies during an economic downturn," European Economic Review, Elsevier, vol. 134(C).
    35. Syed Sadaqat Ali Shah & Muhammad Asim Afridi, 2023. "Cyclical variation of fiscal multipliers in Caucasus and Central Asia economies: an empirical evidence," Economic Change and Restructuring, Springer, vol. 56(6), pages 4531-4563, December.

  5. Paul Ho & Thomas A. Lubik & Christian Matthes, 2020. "How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters," Working Paper 20-10, Federal Reserve Bank of Richmond.

    Cited by:

    1. Mitman, Kurt & Hanley, Douglas & Bognanni, Mark & Kolliner, Daniel, 2020. "Economics and Epidemics: Evidence from an Estimated Spatial Econ-SIR Model," CEPR Discussion Papers 15310, C.E.P.R. Discussion Papers.
    2. Paul Ho, 2021. "Forecasting in the Absence of Precedent," Working Paper 21-10, Federal Reserve Bank of Richmond.
    3. Zubarev, Andrei & Kirillova, Maria, 2022. "Modeling COVID-19 spread in the Russian Federation using global VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 117-138.

  6. Thomas A. Lubik & Christian Matthes & Elmar Mertens, 2019. "Indeterminacy and Imperfect Information," Working Paper 19-17, Federal Reserve Bank of Richmond.

    Cited by:

    1. Sorge Marco M., 2020. "Computing sunspot solutions to rational expectations models with timing restrictions," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(2), pages 1-10, June.
    2. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Qazi Haque & Nicolas Groshenny & Mark Weder, 2019. "Do We Really Know that U.S. Monetary Policy was Destabilizing in the 1970s?," Economics Discussion / Working Papers 19-11, The University of Western Australia, Department of Economics.
    4. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.

  7. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.

    Cited by:

    1. Faria, Gonçalo & Verona, Fabio, 2023. "Forecast combination in the frequency domain," Bank of Finland Research Discussion Papers 1/2023, Bank of Finland.
    2. Hwang, Sun Ho & Kim, Yun Jung, 2021. "International output synchronization at different frequencies," Economic Modelling, Elsevier, vol. 104(C).
    3. Crowley, Patrick M. & Hughes Hallett, Andrew, 2019. "The evolution of US and UK GDP components in the time-frequency domain: A continuous wavelet analysis," Bank of Finland Research Discussion Papers 23/2019, Bank of Finland.
    4. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    5. Kilponen, Juha & Verona, Fabio, 2022. "Investment dynamics and forecast: Mind the frequency," Finance Research Letters, Elsevier, vol. 49(C).

  8. Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.

    Cited by:

    1. Dimitris Korobilis, 2020. "Sign restrictions in high-dimensional vector autoregressions," Working Paper series 20-09, Rimini Centre for Economic Analysis.
    2. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Dimitris Korobilis, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," Papers 2206.06892, arXiv.org.
    4. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.

  9. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.

    Cited by:

    1. Ozdemir, Dicle, 2019. "Sectoral Business Cycle Asymmetries and Regime Shifts: Evidence from Turkey," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.

  10. Francesca Loria & Christian Matthes & Donghai Zhang, 2019. "Assessing Macroeconomic Tail Risk," Finance and Economics Discussion Series 2019-026, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2020. "Can systemic risk measures predict economic shocks? Evidence from China," China Economic Review, Elsevier, vol. 64(C).
    2. Òscar Jordà & Martin Kornejew & Moritz Schularick & Alan M. Taylor, 2020. "Zombies at large? Corporate debt overhang and the macroeconomy," ECONtribute Discussion Papers Series 042, University of Bonn and University of Cologne, Germany.
    3. Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
    4. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    5. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    6. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    7. Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    8. De Santis, Roberto A. & Van der Veken, Wouter, 2020. "Forecasting macroeconomic risk in real time: Great and Covid-19 Recessions," Working Paper Series 2436, European Central Bank.
    9. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    10. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    11. Schüler, Yves S., 2020. "The impact of uncertainty and certainty shocks," Discussion Papers 14/2020, Deutsche Bundesbank.
    12. Moritz Schularick, 2021. "Corporate indebtedness and macroeconomic stabilisation from a long-term perspective," ECONtribute Policy Brief Series 024, University of Bonn and University of Cologne, Germany.

  11. Laura Liu & Christian Matthes & Katerina Petrova, 2018. "Monetary Policy across Space and Time," Working Paper 18-14, Federal Reserve Bank of Richmond.

    Cited by:

    1. Antonakakis, Nikolaos & Gabauer, David & Gupta, Rangan, 2019. "International monetary policy spillovers: Evidence from a time-varying parameter vector autoregression," International Review of Financial Analysis, Elsevier, vol. 65(C).
    2. Lei, Jian, 2021. "Curve momentum in currency markets," Finance Research Letters, Elsevier, vol. 42(C).
    3. Zakipour-Saber, Shayan, 2019. "Forecasting in the euro area: The role of the US long rate," Economic Letters 5/EL/19, Central Bank of Ireland.

  12. Fabio Canova & Christian Matthes, 2018. "A composite likelihood approach for dynamic structural models," Working Papers No 10/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

    Cited by:

    1. Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Paul Ho & Thomas A. Lubik & Christian Matthes, 2023. "Averaging Impulse Responses Using Prediction Pools," Working Paper 23-04, Federal Reserve Bank of Richmond.
    3. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    4. Canova, Fabio & Sæterhagen Paulsen, Kenneth, 2023. "Symbolic stationarization of dynamic equilibrium models," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    5. Fabio Canova & Kenneth Sæterhagen Paulsen, 2021. "Symbolic Stationarization of Dynamic Equilibrium Models," Working Paper 2021/18, Norges Bank.
    6. Huong Hoang-Thi & Shah Fahad & Ashfaq Ahmad Shah & Tung Nguyen-Huu-Minh & Tuan Nguyen-Anh & Song Nguyen-Van & Nguyen To-The & Huong Nguyen-Thi-Lan, 2023. "Evaluating the farmers’ adoption behavior of water conservation in mountainous region Vietnam: extrinsic and intrinsic determinants," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(2), pages 1313-1330, January.

  13. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.

    Cited by:

    1. Régis Barnichon & Davide Debortoli & Christian Matthes, 2020. "Understanding the Size of the Government Spending Multiplier: It's in the Sign," Working Paper Series 2021-01, Federal Reserve Bank of San Francisco.
    2. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. Jackson, Laura E. & Owyang, Michael T. & Soques, Daniel, 2018. "Nonlinearities, smoothing and countercyclical monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 136-154.
    5. Manuchehr Irandoust, 2020. "The effectiveness of monetary policy and output fluctuations: An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 161-181, June.
    6. Barnichon, Regis & Matthes, Christian & Ziegenbein, Alexander, 2016. "Assessing the Non-Linear Effects of Credit Market Shocks," CEPR Discussion Papers 11410, C.E.P.R. Discussion Papers.
    7. Chen, Hongyi & Li, Ran & Tillmann, Peter, 2019. "Pushing on a string: State-owned enterprises and monetary policy transmission in China," China Economic Review, Elsevier, vol. 54(C), pages 26-40.
    8. Claudio Borio & Boris Hofmann, 2017. "Is Monetary Policy Less Effective When Interest Rates Are Persistently Low?," RBA Annual Conference Volume (Discontinued), in: Jonathan Hambur & John Simon (ed.),Monetary Policy and Financial Stability in a World of Low Interest Rates, Reserve Bank of Australia.
    9. Hie Joo Ahn & Choongryul Yang, 2022. "Effects of Monetary Policy on Household Expectations: The Role of Homeownership," Finance and Economics Discussion Series 2022-065, Board of Governors of the Federal Reserve System (U.S.).
    10. Max Breitenlechner & Johann Scharler, 2020. "Private Sector Debt, Financial Constraints, and the Effects of Monetary Policy: Evidence from the US," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(4), pages 889-915, August.
    11. Jordà, Òscar & Schularick, Moritz & Taylor, Alan M., 2020. "The effects of quasi-random monetary experiments," Journal of Monetary Economics, Elsevier, vol. 112(C), pages 22-40.
    12. Nelimarkka, Jaakko, 2017. "Evidence on News Shocks under Information Deficiency," MPRA Paper 80850, University Library of Munich, Germany.
    13. Youngju Kim & Hyunjoon Lim, 2017. "Transmission of Monetary Policy in Times of High Household Debt," Working Papers 2017-35, Economic Research Institute, Bank of Korea.
    14. Régis Barnichon & Christian Matthes & Alexander Ziegenbein, 2016. "Theory Ahead of Measurement? Assessing the Nonlinear Effects of Financial Market Disruptions," Working Paper 16-15, Federal Reserve Bank of Richmond.
    15. Peter Andre & Carlo Pizzinelli & Christopher Roth & Johannes Wohlfart, 2021. "Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples," ECONtribute Discussion Papers Series 119, University of Bonn and University of Cologne, Germany.
    16. Roben Kloosterman & Dennis Bonam & Koen van der Veer, 2022. "The effects of monetary policy across fiscal regimes," Working Papers 755, DNB.
    17. Kim, Youngju & Lim, Hyunjoon, 2020. "Transmission of monetary policy in times of high household debt," Journal of Macroeconomics, Elsevier, vol. 63(C).

  14. Barnichon, Regis & Matthes, Christian & Ziegenbein, Alexander, 2016. "Assessing the Non-Linear Effects of Credit Market Shocks," CEPR Discussion Papers 11410, C.E.P.R. Discussion Papers.

    Cited by:

    1. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    2. Ugo Panizza & Charles Wyplosz, 2018. "The Folk Theorem of Decreasing Effectiveness of Monetary Policy: What Do the Data Say?," Russian Journal of Money and Finance, Bank of Russia, vol. 77(1), pages 71-107, March.

  15. Régis Barnichon & Christian Matthes & Alexander Ziegenbein, 2016. "Theory Ahead of Measurement? Assessing the Nonlinear Effects of Financial Market Disruptions," Working Paper 16-15, Federal Reserve Bank of Richmond.

    Cited by:

    1. David Aikman & Andreas Lehnert & Nellie Liang & Michele Modungno, 2020. "Credit, Financial Conditions, and Monetary Policy Transmission," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 141-179, June.
    2. Carriero, Andrea & Galvao, Ana Beatriz & Marcellino, Massimiliano, 2018. "Credit Conditions and the Asymmetric Effects of Monetary Policy Shocks," EMF Research Papers 17, Economic Modelling and Forecasting Group.
    3. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
    4. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.

  16. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.

    Cited by:

    1. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
    3. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    4. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
    5. Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/978, Ghent University, Faculty of Economics and Business Administration.
    6. Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
    7. Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
    8. Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    9. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.
    10. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
    11. Jan Prüser & Alexander Schlösser, 2020. "On the Time‐Varying Effects of Economic Policy Uncertainty on the US Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1217-1237, October.
    12. Prüser, Jan & Schlösser, Alexander, 2018. "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers 761, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. 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.

  17. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.

    Cited by:

    1. Jackson, Laura E. & Owyang, Michael T. & Soques, Daniel, 2018. "Nonlinearities, smoothing and countercyclical monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 136-154.
    2. Ahiadorme, Johnson Worlanyo, 2020. "Monetary policy transmission and income inequality in Sub-Saharan Africa," MPRA Paper 104084, University Library of Munich, Germany.
    3. Mr. Luis Ignacio Jácome & Tahsin Saadi Sedik & Alexander Ziegenbein, 2018. "Is Credit Easing Viable in Emerging and Developing Economies? An Empirical Approach," IMF Working Papers 2018/043, International Monetary Fund.
    4. Barnichon, Regis & Matthes, Christian, 2015. "Stimulus versus Austerity: The Asymmetric Government Spending Multiplier," CEPR Discussion Papers 10584, C.E.P.R. Discussion Papers.
    5. Davide Furceri & Mr. Prakash Loungani & Ms. Aleksandra Zdzienicka, 2016. "The Effects of Monetary Policy Shocks on Inequality," IMF Working Papers 2016/245, International Monetary Fund.
    6. World Bank, 2021. "Global Economic Prospects, January 2021," World Bank Publications - Books, The World Bank Group, number 34710, December.
    7. Dalibor Stevanovic, 2015. "Factor augmented autoregressive distributed lag models with macroeconomic applications," CIRANO Working Papers 2015s-33, CIRANO.
    8. de Ridder, M. & Pfajfar, D., 2017. "Policy Shocks and Wage Rigidities: Empirical Evidence from Regional Effects of National Shocks," Cambridge Working Papers in Economics 1717, Faculty of Economics, University of Cambridge.
    9. Hussain, Syed M. & Malik, Samreen, 2016. "Asymmetric Effects of Exogenous Tax Changes," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 268-300.
    10. Francisco RUGE-MURCIA, 2014. "Indirect Inference Estimation of Nonlinear Dynamic General Equilibrium Models : With an Application to Asset Pricing under Skewness Risk," Cahiers de recherche 15-2014, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

  18. F. Canova & F. Ferroni & C. Matthes, 2015. "Approximating time varying structural models with time invariant structures," Working papers 578, Banque de France.

    Cited by:

    1. Julien Albertini & Hong Lan, 2016. "The importance of time-varying parameters in new Keynesian models with zero lower bound," SFB 649 Discussion Papers SFB649DP2016-013, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Callum Jones, 2018. "Aging, Secular Stagnation and the Business Cycle," IMF Working Papers 2018/067, International Monetary Fund.
    3. Stéphane Auray & Aurélien Eyquem, 2016. "Episodes of War and Peace in an Estimated Open Economy Model," Working Papers 2016-01, Center for Research in Economics and Statistics.
    4. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019. "Forecasting with instabilities: an application to DSGE models with financial frictions," Temi di discussione (Economic working papers) 1234, Bank of Italy, Economic Research and International Relations Area.
    5. Den Haan, Wouter & Drechsel, Thomas, 2018. "Agnostic Structural Disturbances (ASDs): Detecting and Reducing Misspecification in Empirical Macroeconomic Models," CEPR Discussion Papers 13145, C.E.P.R. Discussion Papers.
    6. Stefano Grassi & Miguel Leon-Ledesma & Filippo Ferroni, 2016. "Fundamental shock selection in DSGE models," 2016 Meeting Papers 47, Society for Economic Dynamics.
    7. Thomas A. Lubik & Christian Matthes & Andrew Owens, 2016. "Beveridge Curve Shifts and Time-Varying Parameter VARs," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 197-226.
    8. Filippo Ferroni & Stefano Grassi & Miguel A. León-Ledesma, 2017. "Selecting Primal Innovations in DSGE models," Working Paper Series WP-2017-20, Federal Reserve Bank of Chicago.
    9. Neri, Stefano & Nobili, Andrea & Conti, Antonio M., 2017. "Low inflation and monetary policy in the euro area," Working Paper Series 2005, European Central Bank.
    10. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.
    11. Ramazan EKİNCİ & Osman TÜZÜN & Fatih CEYLAN & Hakan KAHYAOĞLU, 2017. "Dışa Açıklık ile İşsizlik Arasındaki İlişki: Seçilmiş AB Ülkeleri ve Türkiye Üzerine Zamana Göre Değişen Parametreli Bir Analiz Algıları," Sosyoekonomi Journal, Sosyoekonomi Society, issue 25(31).

  19. Barnichon, Regis & Matthes, Christian, 2015. "Stimulus versus Austerity: The Asymmetric Government Spending Multiplier," CEPR Discussion Papers 10584, C.E.P.R. Discussion Papers.

    Cited by:

    1. Klein, Mathias, 2016. "Austerity and private debt," Ruhr Economic Papers 642, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Giuseppe Fiori & Domenico Ferraro, 2016. "Aging of the Baby Boomers: Demographics and Propagation of Tax Shocks," 2016 Meeting Papers 359, Society for Economic Dynamics.
    3. Donato Masciandaro, 2014. "Macroeconomic Ideas, Business Cycles and Economic Policies: One Size Doesn’t Fit All - A Primer," BAFFI CAREFIN Working Papers 14161, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    4. Dallari, Pietro & Ribba, Antonio, 2020. "The dynamic effects of monetary policy and government spending shocks on unemployment in the peripheral Euro area countries," Economic Modelling, Elsevier, vol. 85(C), pages 218-232.
    5. Mathias Klein, 2016. "Austerity and Private Debt," Discussion Papers of DIW Berlin 1611, DIW Berlin, German Institute for Economic Research.
    6. Pietro Dallari & Antonio Ribba, 2015. "Economic Shocks and their Effects on Unemployment in the Euro Area Periphery under the EMU," Center for Economic Research (RECent) 114, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    7. Steven M. Fazzari & James Morley & Irina B. Panovska, 2017. "When Do Discretionary Changes in Government Spending or Taxes Have Larger Effects?," Discussion Papers 2017-04, School of Economics, The University of New South Wales.
    8. Pietro Dallari & Antonio Ribba, 2015. "Economic Shocks and their Effects on Unemployment in the Euro Area Periphery under the EMU," Department of Economics (DEMB) 0057, University of Modena and Reggio Emilia, Department of Economics "Marco Biagi".
    9. Pietro Dallari & Antonio Ribba, 2019. "The Dynamic Effects of Monetary Policy and Government Spending Shocks on Unemployment in the Peripheral Euro Area Countries," Department of Economics 0143, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    10. Donato Masciandaro, 2018. "Central Banking and Macroeconomic Ideas: Economics, Politics and History," BAFFI CAREFIN Working Papers 1858, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.

  20. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2015. "Measurement Errors and Monetary Policy: Then and Now," Working Paper 15-13, Federal Reserve Bank of Richmond.

    Cited by:

    1. Soojin Jo & Rodrigo Sekkel, 2019. "Macroeconomic Uncertainty Through the Lens of Professional Forecasters," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 436-446, July.
    2. Christiane Baumeister & James D. Hamilton, 2019. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks," American Economic Review, American Economic Association, vol. 109(5), pages 1873-1910, May.
    3. Glocker, Christian & Sestieri, Giulia & Towbin, Pascal, 2019. "Time-varying government spending multipliers in the UK," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 180-197.
    4. Baumeister, Christiane & Hamilton, James D., 2021. "Reprint: Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 114(C).
    5. Christiane Baumeister & James D. Hamilton, 2020. "Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions," NBER Working Papers 26606, National Bureau of Economic Research, Inc.
    6. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    7. C. Glocker & G. Sestieri & P. Towbin, 2017. "Time-varying fiscal spending multipliers in the UK," Working papers 643, Banque de France.
    8. Baumeister, Christiane & Hamilton, James, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Deman," CEPR Discussion Papers 12532, C.E.P.R. Discussion Papers.

  21. Timothy Cogley & Christian Matthes & Argia M. Sbordone, 2014. "Optimized Taylor Rules for Disinflation When Agents are Learning," Working Paper 14-7, Federal Reserve Bank of Richmond.

    Cited by:

    1. Michael D. Bauer & Carolin Pflueger & Adi Sunderam, 2023. "Perceptions about Monetary Policy," Working Paper Series 2023-31, Federal Reserve Bank of San Francisco.
    2. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    3. Josef Hollmayr & Christian Matthes, 2013. "Learning about fiscal policy and the effects of policy uncertainty," Working Paper 13-15, Federal Reserve Bank of Richmond.
    4. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
    5. Javier García-Cicco, 2021. "Alternative Monetary-Policy Instruments and Limited Credibility: An Exploration," BCRA Working Paper Series 202191, Central Bank of Argentina, Economic Research Department.
    6. Javier García-Cicco, 2019. "Alternative Monetary-Policy Instruments and Limited Credibility in Small and Open Economies: An Exploration," Asociación Argentina de Economía Política: Working Papers 4145, Asociación Argentina de Economía Política.
    7. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
    8. Guido Ascari & Argia M. Sbordone, 2013. "The Macroeconomics of Trend Inflation," DEM Working Papers Series 053, University of Pavia, Department of Economics and Management.
    9. Marcus Giamattei, 2022. "Can Cold Turkey Reduce Inflation Inertia? Evidence on Disinflation and Level‐k Thinking from a Laboratory Experiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(8), pages 2477-2517, December.
    10. Hollmayr, Josef & Kühl, Michael, 2019. "Learning about banks’ net worth and the slow recovery after the financial crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    11. Bodenstein, Martin & Hebden, James & Winkler, Fabian, 2022. "Learning and misperception of makeup strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    12. Justin Svec & Daniel L. Tortorice, 2022. "Asserting Independence: Optimal Monetary Policy When the Central Bank and Political Authority Disagree," Working Papers 2201, College of the Holy Cross, Department of Economics.
    13. William A. Branch & George W. Evans, 2017. "Unstable Inflation Targets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(4), pages 767-806, June.
    14. Christopher G. Gibbs & Mariano Kulish, 2015. "Disinflations in a model of imperfectly anchored expectations," Discussion Papers 2015-22, School of Economics, The University of New South Wales.
    15. James B. Bullard, 2022. "Reflections on the Disinflationary Methods of Poincaré and Thatcher," Speech 94371, Federal Reserve Bank of St. Louis.
    16. Josef Hollmayr & Christian Matthes, 2015. "Tales of Transition Paths: Policy Uncertainty and Random Walks," Working Paper 15-11, Federal Reserve Bank of Richmond.
    17. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.

  22. Thomas A. Lubik & Christian Matthes, 2014. "Indeterminacy and Learning: An Analysis of Monetary Policy in the Great Inflation," CAMA Working Papers 2014-16, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    2. Jaqueson Galimberti, 2021. "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers 2021-01, Auckland University of Technology, Department of Economics.
    3. Lubik, Thomas A. & Matthes, Christian & Mertens, Elmar, 2020. "Indeterminacy and imperfect information," Discussion Papers 01/2020, Deutsche Bundesbank.
    4. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    5. Qureshi, Irfan, 2018. "Money Aggregates and Determinacy : A Reinterpretation of Monetary Policy During the Great Inflation," The Warwick Economics Research Paper Series (TWERPS) 1156, University of Warwick, Department of Economics.
    6. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    7. Qazi Haque & Nicolas Groshenny & Mark Weder, 2019. "Do We Really Know that U.S. Monetary Policy was Destabilizing in the 1970s?," Economics Discussion / Working Papers 19-11, The University of Western Australia, Department of Economics.
    8. Thomas A. Lubik & Christian Matthes & Fabio Verona, 2019. "Assessing U.S. Aggregate Fluctuations Across Time and Frequencies," Working Paper 19-6, Federal Reserve Bank of Richmond.
    9. Bonam, Dennis & Goy, Gavin, 2019. "Home biased expectations and macroeconomic imbalances in a monetary union," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 25-42.
    10. Imamudin Yuliadi, 2020. "The Implementation of a Dual Monetary System in Indonesia," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(3), pages 28-39.
    11. Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2020. "Monetary Policy and Macroeconomic Stability Revisited," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 255-274, July.
    12. Kobielarz, Michal, 2018. "The economics of monetary unions," Other publications TiSEM b0293536-68ec-4905-bffd-6, Tilburg University, School of Economics and Management.
    13. Thomas Lubik & Christian Matthes & Elmar Mertens, 2022. "Online Appendix to "Indeterminacy and Imperfect Information"," Online Appendices 20-377, Review of Economic Dynamics.
    14. Margaret Jacobson, 2019. "Beliefs, Aggregate Risk, and the U.S. Housing Boom," 2019 Meeting Papers 1549, Society for Economic Dynamics.
    15. Best, Gabriela & Hur, Joonyoung, 2019. "Bad luck, bad policy, and learning? A Markov-switching approach to understanding postwar U.S. macroeconomic dynamics," European Economic Review, Elsevier, vol. 119(C), pages 55-78.
    16. Claudio Borio & Piti Disyatat & Mikael Juselius & Phurichai Rungcharoenkitkul, 2018. "La política monetaria cercada por un movimiento de pinzas," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 004-044, August.
    17. Claudio Borio & Piti Disyatat & Mikael Juselius & Phurichai Rungcharoenkitkul, 2018. "Monetary policy in the grip of a pincer movement," BIS Working Papers 706, Bank for International Settlements.
    18. Engin Kara & Tony Yates, 2021. "A Case against a 4% Inflation Target," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(5), pages 1097-1119, August.
    19. Qureshi, Irfan A., 2021. "The Role Of Money In Federal Reserve Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 25(8), pages 2037-2057, December.
    20. Makin, Anthony J. & Robson, Alex & Ratnasiri, Shyama, 2017. "Missing money found causing Australia's inflation," Economic Modelling, Elsevier, vol. 66(C), pages 156-162.
    21. Michele Berardi & Jaqueson K Galimberti, 2016. "On the Initialization of Adaptive Learning in Macroeconomic Models," KOF Working papers 16-422, KOF Swiss Economic Institute, ETH Zurich.
    22. Goy, Gavin & Hommes, Cars & Mavromatis, Kostas, 2022. "Forward guidance and the role of central bank credibility under heterogeneous beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1240-1274.
    23. Gáti, Laura, 2022. "Monetary policy & anchored expectations: an endogenous gain learning model," Working Paper Series 2685, European Central Bank.
    24. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    25. Bachmann, Rüdiger & Gödl-Hanisch, Isabel & Sims, Eric R., 2022. "Identifying monetary policy shocks using the central bank’s information set," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).

  23. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2014. "Drifts, Volatilities, and Impulse Responses Over the Last Century," Working Paper 14-10, Federal Reserve Bank of Richmond.

    Cited by:

    1. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    2. Bataa, Erdenebat & Wohar, Mark & Vivian, Andrew, 2015. "Changes in the relationship between short-term interest rate, inflation and growth: Evidence from the UK, 1820-2014," MPRA Paper 72422, University Library of Munich, Germany.
    3. Kim Abildgren, 2016. "A century of macro-financial linkages," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 8(4), pages 458-471, November.

  24. Hollmayr, Josef & Matthes, Christian, 2014. "Dynamics of Monetary-Fiscal Interaction under Learning," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100609, Verein für Socialpolitik / German Economic Association.

    Cited by:

    1. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.

  25. Josef Hollmayr & Christian Matthes, 2013. "Learning about fiscal policy and the effects of policy uncertainty," Working Paper 13-15, Federal Reserve Bank of Richmond.

    Cited by:

    1. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Troy Davig & Andrew Foerster, 2019. "Uncertainty and Fiscal Cliffs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1857-1887, October.
    3. Han, Zhao, 2021. "Low-frequency fiscal uncertainty," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 639-657.
    4. Yi Zhang & Mengyang Wang & Tao Shi & Huan Huang & Qi Huang, 2023. "Health Damage of Air Pollution, Governance Uncertainty and Economic Growth," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    5. Richter, Alexander W. & Throckmorton, Nathaniel A., 2015. "The consequences of an unknown debt target," European Economic Review, Elsevier, vol. 78(C), pages 76-96.
    6. Goodness C. Aye, 2019. "Fiscal Policy Uncertainty and Economic Activity in South Africa: An Asymmetric Analysis," Working Papers 201922, University of Pretoria, Department of Economics.
    7. Hollmayr, Josef & Matthes, Christian, 2014. "Dynamics of Monetary-Fiscal Interaction under Learning," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100609, Verein für Socialpolitik / German Economic Association.
    8. Jang, Tae-Seok & Sacht, Stephen, 2018. "Macroeconomic dynamics under bounded rationality: On the impact of consumers' forecast heuristics," Economics Working Papers 2018-10, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Hollmayr, Josef & Kühl, Michael, 2019. "Learning about banks’ net worth and the slow recovery after the financial crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    10. Nargiza Alymkulova & Nurlan Atabaev & Junus Ganiev, 2016. "Var — analysis of global financial economic crisis impact on public budget and unemployment: evidence from the economy of the Kyrgyz republic," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1090-1101.
    11. McClung, Nigel, 2020. "E-stability vis-à-vis determinacy in regime-switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    12. Aye, Goodness C., 2021. "Short and Long Run Asymmetric Effects of Monetary and Fiscal Policy Uncertainty on Economic Activity in the U.S," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(1), pages 83-96.
    13. Josef Hollmayr & Christian Matthes, 2015. "Tales of Transition Paths: Policy Uncertainty and Random Walks," Working Paper 15-11, Federal Reserve Bank of Richmond.
    14. Alymkulova Nargiza Bakytovna & Atabaev Nurlan Uzgenovich & Ganiev Junus Mashrapovich, 2016. "Var - analysis of Global financial economic crisis impact on public budget and unemployment: evidence from the economy of the Kyrgyz Republic," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», vol. 12(4), pages 1090-1101.
    15. Caprioli, Francesco, 2015. "Optimal fiscal policy under learning," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 101-124.
    16. La Torre, Davide & Marsiglio, Simone & Mendivil, Franklin & Privileggi, Fabio, 2021. "Generalized Fractal Transforms with Condensation: a Macroeconomic-Epidemiological Application," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202107, University of Turin.
    17. Hunjra, Ahmed Imran & Azam, Muhammad & Bruna, Maria Giuseppina & Verhoeven, Peter & Al-Faryan, Mamdouh Abdulaziz Saleh, 2022. "Sustainable development: The impact of political risk, macroeconomic policy uncertainty and ethnic conflict," International Review of Financial Analysis, Elsevier, vol. 84(C).
    18. Muhammad Shafiullah & Usman Khalid & Sajid M. Chaudhry, 2022. "Do stock markets play a role in determining COVID‐19 economic stimulus? A cross‐country analysis," The World Economy, Wiley Blackwell, vol. 45(2), pages 386-408, February.
    19. Josef Hollmayr & Michael Kuehl, 2016. "Imperfect Information about Financial Frictions and Consequences for the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 179-207, October.
    20. Goodness C. Aye, 2019. "Short and Long Run Asymmetric Effects of Monetary and Fiscal Policy Uncertainty on Economic Activity in the U.S," Working Papers 201923, University of Pretoria, Department of Economics.

  26. Canova, F. & Ferroni, F. & Matthes, C., 2013. "Choosing the variables to estimate singular DSGE models," Working papers 461, Banque de France.

    Cited by:

    1. Albonico, Alice & Calès, Ludovic & Cardani, Roberta & Croitorov, Olga & Ferroni, Filippo & Giovannini, Massimo & Hohberger, Stefan & Pataracchia, Beatrice & Pericoli, Filippo & Raciborski, Rafal & Rat, 2017. "The Global Multi-Country Model (GM): an Estimated DSGE Model for the Euro Area Countries," Working Papers 2017-10, Joint Research Centre, European Commission.
    2. Francesca Monti, 2015. "Can a data-rich environment help identify the sources of model misspecification?," Discussion Papers 1505, Centre for Macroeconomics (CFM).
    3. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.
    4. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    5. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    6. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers REM 2018/33, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Maik Wolters, 2017. "How the Baby Boomers' Retirement Wave Distorts Model-Based Output Gap Estimates," Jena Economics Research Papers 2017-008, Friedrich-Schiller-University Jena.
    8. Albonico, Alice & Calés, Ludovic & Cardani, Roberta & Croitorov, Olga & Ferroni, Filippo & Giovannini, Massimo & Hohberger, Stefan & Pataracchia, Beatrice & Pericoli, Filippo Maria & Raciborski, Rafal, 2019. "Comparing post-crisis dynamics across Euro Area countries with the Global Multi-country model," Economic Modelling, Elsevier, vol. 81(C), pages 242-273.
    9. Adrian Pagan & Tim Robinson, 2020. "Too many shocks spoil the interpretation," CAMA Working Papers 2020-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Rubio-Ramírez, Juan Francisco & Schorfheide, Frank & Fernández-Villaverde, Jesús, 2015. "Solution and Estimation Methods for DSGE Models," CEPR Discussion Papers 11032, C.E.P.R. Discussion Papers.
    11. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers CWP21/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood Evaluation of Models with Occasionally Binding Constraints," Finance and Economics Discussion Series 2019-028, Board of Governors of the Federal Reserve System (U.S.).
    13. William Gatt, 2022. "MEDSEA-FIN: an estimated DSGE model with housing and financial frictions for Malta," CBM Working Papers WP/05/2022, Central Bank of Malta.
    14. Alok Johri & Muhebullah Karimzada, 2016. "Learning Efficiency Shocks, Knowledge Capital and the Business Cycle: A Bayesian Evaluation," Department of Economics Working Papers 2016-11, McMaster University.
    15. Zhongjun Qu & Fan Zhuo, 2015. "Likelihood Ratio Based Tests for Markov Regime Switching," Boston University - Department of Economics - Working Papers Series wp2015-003, Boston University - Department of Economics.
    16. Ivashchenko, Sergey & Mutschler, Willi, 2020. "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models," Economic Modelling, Elsevier, vol. 88(C), pages 280-292.
    17. Nikolay, Iskrev, 2014. "Choosing the variables to estimate singular DSGE models: Comment," Dynare Working Papers 41, CEPREMAP.
    18. Massimo Franchi, 2013. "Comment on: Ravenna, F., 2007. Vector autoregressions and reduced form representations of DSGE models. Journal of Monetary Economics 54, 2048-2064," DSS Empirical Economics and Econometrics Working Papers Series 2013/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    19. Yongquan Cao & Grey Gordon, 2019. "A Practical Approach to Testing Calibration Strategies," Computational Economics, Springer;Society for Computational Economics, vol. 53(3), pages 1165-1182, March.
    20. Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
    21. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    22. Alstadheim, Ragna & Bjørnland, Hilde C. & Maih, Junior, 2021. "Do central banks respond to exchange rate movements? A Markov-switching structural investigation of commodity exporters and importers," Energy Economics, Elsevier, vol. 96(C).
    23. Zhongjun Qu, 2018. "A Composite Likelihood Framework for Analyzing Singular DSGE Models," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 916-932, December.
    24. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.
    25. Raffaella Giacomini, 2013. "The relationship between DSGE and VAR models," CeMMAP working papers 21/13, Institute for Fiscal Studies.

  27. Timothy Cogley & Christian Matthes & Argia M. Sbordone, 2011. "Optimal disinflation under learning," Staff Reports 524, Federal Reserve Bank of New York.

    Cited by:

    1. Guido Ascari & Anna Florio, 2012. "Transparency, Expectations Anchoring and the Inflation Target," DEM Working Papers Series 022, University of Pavia, Department of Economics and Management.
    2. Matthes, Christian & Rondina, Francesca, 2012. "Two-sided Learning in New Keynesian Models: Dynamics, (Lack of) Convergence and the Value of Information," Dynare Working Papers 19, CEPREMAP.
    3. Giamattei, Marcus, 2015. "Cold Turkey vs. Gradualism - Evidence on Disinflation Strategies from a Laboratory Experiment," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-67-15, University of Passau, Faculty of Business and Economics.
    4. Yang Lu & Ernesto Pasten & Robert King, 2013. "Policy design with private sector skepticism in the textbook New Keynesian model," 2013 Meeting Papers 241, Society for Economic Dynamics.
    5. Josef Hollmayr & Christian Matthes, 2013. "Learning about fiscal policy and the effects of policy uncertainty," Working Paper 13-15, Federal Reserve Bank of Richmond.
    6. Ascari, Guido & Ropele, Tiziano, 2013. "Disinflation effects in a medium-scale New Keynesian model: Money supply rule versus interest rate rule," European Economic Review, Elsevier, vol. 61(C), pages 77-100.
    7. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    8. Leonardo Melosi, 2017. "Signalling Effects of Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 853-884.
    9. Francesco Bianchi & Leonardo Melosi, 2012. "Constrained Discretion and Central Bank Transparency," PIER Working Paper Archive 13-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Alina Barnett & Martin Ellison, 2013. "Learning by Disinflating," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 731-746, June.
    11. Guido Ascari & Argia M. Sbordone, 2013. "The Macroeconomics of Trend Inflation," DEM Working Papers Series 053, University of Pavia, Department of Economics and Management.
    12. Leonardo Melosi, 2013. "Modeling the Evolution of Expectations and Uncertainty in General Equilibrium," 2013 Meeting Papers 67, Society for Economic Dynamics.
    13. Hollmayr, Josef & Matthes, Christian, 2014. "Dynamics of Monetary-Fiscal Interaction under Learning," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100609, Verein für Socialpolitik / German Economic Association.
    14. Francesco Bianchi & Leonardo Melosi, 2016. "Modeling The Evolution Of Expectations And Uncertainty In General Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(2), pages 717-756, May.
    15. Christian Matthes, 2015. "Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 1-29, February.
    16. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2014. "Drifts, Volatilities, and Impulse Responses Over the Last Century," Working Paper 14-10, Federal Reserve Bank of Richmond.
    17. Leonardo Melosi & Francesco Bianchi, 2012. "Inflationary Sentiments and Monetary Policy Communcation," 2012 Meeting Papers 893, Society for Economic Dynamics.
    18. Christian Matthes & Francesca Rondina, 2017. "Two-sided Learning and Short-Run Dynamics in a New Keynesian Model of the Economy," Working Papers 1705E, University of Ottawa, Department of Economics.

  28. Cogley, Timothy & de Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Bank of England working papers 414, Bank of England.

    Cited by:

    1. Alexander Kriwoluzky & Christian A. Stoltenberg, 2016. "Nested Models and Model Uncertainty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(2), pages 324-353, April.
    2. Francesca Rondina, 2010. "Policy Evaluation and Uncertainty About the Effects of Oil Prices on Economic Activity," Working Papers 522, Barcelona School of Economics.
    3. Szabolcs Deák & Paul Levine & Afrasiab Mirza & Joseph Pearlman, 2019. "Designing Robust Monetary Policy Using Prediction Pools," School of Economics Discussion Papers 1219, School of Economics, University of Surrey.
    4. Canova, Fabio & Matthes, Christian, 2018. "A composite likelihood approach for dynamic structural models," CEPR Discussion Papers 13245, C.E.P.R. Discussion Papers.
    5. Ekaterina Pirozhkova, 2017. "Financial frictions and robust monetary policy in the models of New Keynesian framework," BCAM Working Papers 1701, Birkbeck Centre for Applied Macroeconomics.
    6. Anderson, Evan W. & Brock, William & Sanstad, Alan H., 2016. "Robust Consumption and Energy Decisions," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250117, Agricultural and Applied Economics Association.
    7. Polito, Vito & Spencer, Peter, 2011. "UK Macroeconomic Volatility and the Welfare Costs of Inflation," Cardiff Economics Working Papers E2011/23, Cardiff University, Cardiff Business School, Economics Section.
    8. Jasmin Sin, 2016. "The Fiscal Multiplier in Small Open Economy: The Role of Liquidity Frictions," IMF Working Papers 2016/138, International Monetary Fund.
    9. William A. Brock & Steven N. Durlauf, 2015. "On Sturdy Policy Evaluation," The Journal of Legal Studies, University of Chicago Press, vol. 44(S2), pages 447-473.
    10. Francesca Rondina, 2010. "The role of model uncertainty and learning in the U.S. postwar policy response to oil prices," Working Papers 478, Barcelona School of Economics.
    11. Francesca Rondina, 2017. "Model Uncertainty and the Direction of Fit of the Postwar U.S. Phillips Curve(s)," Working Papers 1702E, University of Ottawa, Department of Economics.
    12. Andrea Ajello & Thomas Laubach & J. David López-Salido & Taisuke Nakata, 2016. "Financial Stability and Optimal Interest-Rate Policy," Finance and Economics Discussion Series 2016-067, Board of Governors of the Federal Reserve System (U.S.).
    13. Abayomi T. Onanuga & Sheriffdeen A. Tella & Adenike M. Osoba, 2016. "Uncertainty of Output Gap and Monetary Policy-Making in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(5), pages 227-237, OCTOBER.
    14. Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2011. "How much nominal rigidity is there in the US economy? Testing a new Keynesian DSGE model using indirect inference," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2078-2104.
    15. Górajski, Mariusz & Kuchta, Zbigniew, 2023. "Coordination and non-coordination risks of monetary and macroprudential authorities: A robust welfare analysis," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    16. Anna Almosova, 2016. "Labor Market Frictions and Monetary Policy Design," SFB 649 Discussion Papers SFB649DP2016-054, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    17. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    18. Federico Ravenna, 2014. "How Central Banks Learn the True Model of the Economy," Cahiers de recherche 1409, CIRPEE.
    19. Ravenna, Federico, 2012. "Optimal monetary policy and model selection in a real-time learning environment," Economics Letters, Elsevier, vol. 114(3), pages 322-325.
    20. Sheen, Jeffrey & Wang, Ben Zhe, 2016. "Animal spirits and optimal monetary policy design in the presence of labour market frictions," Economic Modelling, Elsevier, vol. 52(PB), pages 898-912.
    21. Alexander William Salter & Thomas L. Hogan, 2019. "Expectations and NGDP Targeting: Supply-Side Problems with Demand-Side Policy," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 34(Fall 2019), pages 89-106.
    22. Mariusz Górajski & Zbigniew Kuchta, 2022. "Which hallmarks of optimal monetary policy rules matter in Poland? A stochastic dominance approach," Bank i Kredyt, Narodowy Bank Polski, vol. 53(2), pages 149-182.
    23. Górajski Mariusz & Kuchta Zbigniew, 2018. "Measuring Uncertainty of Optimal Simple Monetary Policy Rules in DSGE models," Lodz Economics Working Papers 6/2018, University of Lodz, Faculty of Economics and Sociology.
    24. Matteo Cacciatore & Dmitry Matveev & Rodrigo Sekkel, 2022. "Uncertainty and Monetary Policy Experimentation: Empirical Challenges and Insights from Academic Literature," Discussion Papers 2022-9, Bank of Canada.
    25. Yagihashi, Takeshi, 2018. "How costly is a misspecified credit channel DSGE model in monetary policymaking?," Economic Modelling, Elsevier, vol. 68(C), pages 484-505.
    26. Górajski, Mariusz & Kuchta, Zbigniew & Leszczyńska-Paczesna, Agnieszka, 2023. "Price-setting heterogeneity and robust monetary policy in a two-sector DSGE model of a small open economy," Economic Modelling, Elsevier, vol. 122(C).

  29. Hee Soo (test record) Kim & Christian Matthes & Toan Phan, 2011. "Extreme Weather and the Macroeconomy," Working Paper 21-14, Federal Reserve Bank of Richmond.

    Cited by:

    1. Ciccarelli, Matteo & Marotta, Fulvia, 2021. "Demand or supply? An empirical exploration of the effects of climate change on the macroeconomy," Working Paper Series 2608, European Central Bank.
    2. Faccia, Donata & Parker, Miles & Stracca, Livio, 2021. "Feeling the heat: extreme temperatures and price stability," Working Paper Series 2626, European Central Bank.

Articles

  1. Ho, Paul & Lubik, Thomas A. & Matthes, Christian, 2023. "How to go viral: A COVID-19 model with endogenously time-varying parameters," Journal of Econometrics, Elsevier, vol. 232(1), pages 70-86.
    See citations under working paper version above.
  2. Thomas Lubik & Christian Matthes & Elmar Mertens, 2023. "Indeterminacy and Imperfect Information," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 37-57, July.
    See citations under working paper version above.
  3. Thomas A. Lubik & Christian Matthes, 2023. "The Stars Our Destination: An Update for Our R* Model," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, vol. 23(32), September.

    Cited by:

    1. Mary C. Daly, 2023. "What the Moment Demands," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2023(30), pages 1-6, November.

  4. Andrew Foerster & Christian Matthes, 2022. "Learning About Regime Change," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1829-1859, November.
    See citations under working paper version above.
  5. Regis Barnichon & Christian Matthes & Alexander Ziegenbein, 2022. "Are the Effects of Financial Market Disruptions Big or Small?," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 557-570, May.

    Cited by:

    1. Davidson, Sharada Nia & Moccero, Diego Nicolas, 2024. "The nonlinear effects of banks’ vulnerability to capital depletion in euro area countries," Working Paper Series 2912, European Central Bank.
    2. Florian Huber, 2023. "Bayesian Nonlinear Regression using Sums of Simple Functions," Papers 2312.01881, arXiv.org.
    3. Jon Danielsson & Andreas Uthemann, 2023. "On the use of artificial intelligence in financial regulations and the impact on financial stability," Papers 2310.11293, arXiv.org, revised Feb 2024.
    4. Piergiorgio Alessandri & Andrea Gazzani & Alejandro Vicondoa, 2023. "Are the Effects of Uncertainty Shocks Big or Small?," Working Papers 244, Red Nacional de Investigadores en Economía (RedNIE).

  6. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    See citations under working paper version above.
  7. Regis Barnichon & Davide Debortoli & Christian Matthes, 2022. "Understanding the Size of the Government Spending Multiplier: It’s in the Sign [Downward Wage Rigidity and Business Cycle Asymmetries]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 87-117.
    See citations under working paper version above.
  8. Christian Matthes & Felipe Schwartzman, 2021. "How Much Does Household Consumption Impact Business Cycles?," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, vol. 21(25), August.

    Cited by:

    1. Tino Berger & Lorenzo Pozzi, 2023. "Cyclical consumption," Tinbergen Institute Discussion Papers 23-064/VI, Tinbergen Institute.

  9. Fabio Canova & Christian Matthes, 2021. "A Composite Likelihood Approach for Dynamic Structural Models," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2447-2477.
    See citations under working paper version above.
  10. Fabio Canova & Filippo Ferroni & Christian Matthes, 2020. "Detecting And Analyzing The Effects Of Time‐Varying Parameters In Dsge Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(1), pages 105-125, February.

    Cited by:

    1. Stéphane Auray & Aurélien Eyquem, 2016. "Episodes of War and Peace in an Estimated Open Economy Model," Working Papers 2016-01, Center for Research in Economics and Statistics.
    2. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Pablo A. Cuba-Borda & Luca Guerrieri & Matteo Iacoviello & Molin Zhong, 2019. "Likelihood Evaluation of Models with Occasionally Binding Constraints," Finance and Economics Discussion Series 2019-028, Board of Governors of the Federal Reserve System (U.S.).
    4. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    5. Aguirre, Idoia & Vázquez, Jesús, 2020. "Learning, parameter variability, and swings in US macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 66(C).
    6. Julien Albertini & Stéphane Moyen, 2020. "A General and Efficient Method for Solving Regime-Switching DSGE Models," Working Papers halshs-03067554, HAL.
    7. Shikha Gupta & Nand Kumar, 2021. "Dynamics of globalization effect in India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1394-1406, September.

  11. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2020. "Choosing Prior Hyperparameters: With Applications to Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 124-136, January.

    Cited by:

    1. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Korobilis, Dimitris & Koop, Gary, 2020. "Bayesian dynamic variable selection in high dimensions," MPRA Paper 100164, University Library of Munich, Germany.
    3. Haroon Mumtaz & Katerina Petrova, 2023. "Changing Impact of Shocks: A Time‐Varying Proxy SVAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(2-3), pages 635-654, March.
    4. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    5. Prüser, Jan, 2021. "The horseshoe prior for time-varying parameter VARs and Monetary Policy," Journal of Economic Dynamics and Control, Elsevier, vol. 129(C).
    6. Korobilis, D, 2017. "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers 19565, University of Essex, Essex Business School.
    7. Gabriel Arce‐Alfaro & Boris Blagov, 2023. "Monetary Policy Uncertainty and Inflation Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 70-94, February.
    8. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    9. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
    10. Dimitris Korobilis, 2020. "High-dimensional macroeconomic forecasting using message passing algorithms," Papers 2004.11485, arXiv.org.
    11. Gert Peersman & Sebastian K. Rüth & Wouter Van der Veken, 2019. "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/978, Ghent University, Faculty of Economics and Business Administration.
    12. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    13. Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
    14. Korobilis, Dimitris & Landau, Bettina & Musso, Alberto & Phella, Anthoulla, 2021. "The time-varying evolution of inflation risks," Working Paper Series 2600, European Central Bank.
    15. Joshua C. C. Chan, 2019. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," CAMA Working Papers 2019-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
    17. Su Jin Choi & So Won Choi & Jong Hyun Kim & Eul-Bum Lee, 2021. "AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects," Energies, MDPI, vol. 14(15), pages 1-28, July.
    18. Wenting Liao & Jun Ma & Chengsi Zhang, 2023. "Identifying exchange rate effects and spillovers of US monetary policy shocks in the presence of time‐varying instrument relevance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(7), pages 989-1006, November.
    19. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    20. Jamie L. Cross & Aubrey Poon, 2020. "On the contribution of international shocks in Australian business cycle fluctuations," Empirical Economics, Springer, vol. 59(6), pages 2613-2637, December.
    21. Jin-Seong Choi & So-Won Choi & Eul-Bum Lee, 2023. "Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data," Sustainability, MDPI, vol. 15(9), pages 1-28, May.
    22. 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.
    23. Prüser, Jan & Schlösser, Alexander, 2018. "On the time-varying effects of economic policy uncertainty on the US economy," Ruhr Economic Papers 761, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    24. So-Won Choi & Eul-Bum Lee, 2022. "Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology," Sustainability, MDPI, vol. 14(11), pages 1-32, June.
    25. Philippe Goulet Coulombe, 2020. "Time-Varying Parameters as Ridge Regressions," Papers 2009.00401, arXiv.org, revised Apr 2023.
    26. Huachen Li, 2023. "The Time‐Varying Response of Hours Worked to a Productivity Shock," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1907-1935, October.
    27. Arce-Alfaro, Gabriel & Blagov, Boris, 2021. "Monetary policy uncertainty and inflation expectations," Ruhr Economic Papers 899, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

  12. Laura Liu & Christian Matthes & Katerina Petrova & Jessica Sackett Romero, 2019. "Monetary Policy across Space and Time," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
    See citations under working paper version above.
  13. Thomas A. Lubik & Christian Matthes, 2019. "How Likely Is the Zero Lower Bound?," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 41-54.

    Cited by:

    1. Li, Shaoyu & Zhang, Yuanyuan & Zhu, Chunhui, 2021. "A closed-form exact solution for pricing fixed-income variance swaps with affine-jump model," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Ana M. Reyna & Hugo J. Fuentes & José A. Núñez, 2022. "Response of Mexican life and non-life insurers to the low interest rate environment," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 409-433, April.

  14. Barnichon, Regis & Matthes, Christian, 2018. "Functional Approximation of Impulse Responses," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 41-55.

    Cited by:

    1. KANAZAWA, Nobuyuki & 金澤, 伸幸, 2018. "Radial Basis Functions Neural Networks for Nonlinear Time Series Analysis and Time-Varying Effects of Supply Shocks," Discussion paper series HIAS-E-64, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    2. Forni, Mario & Debortoli, Davide & Gambetti, Luca & Sala, Luca, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," CEPR Discussion Papers 15005, C.E.P.R. Discussion Papers.
    3. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
    4. Luca Metelli & Filippo Natoli & Luca Rossi, 2020. "Monetary policy gradualism and the nonlinear effects of monetary shocks," Temi di discussione (Economic working papers) 1275, Bank of Italy, Economic Research and International Relations Area.
    5. Anthony M. Diercks & Alex Hsu & Andrea Tamoni, 2020. "When it Rains it Pours: Cascading Uncertainty Shocks," Finance and Economics Discussion Series 2020-064, Board of Governors of the Federal Reserve System (U.S.).
    6. Gonçalves, Sílvia & Herrera, Ana María & Kilian, Lutz & Pesavento, Elena, 2021. "Impulse response analysis for structural dynamic models with nonlinear regressors," Journal of Econometrics, Elsevier, vol. 225(1), pages 107-130.
    7. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," NBER Working Papers 26962, National Bureau of Economic Research, Inc.
    8. Oscar Jorda & Alan Taylor & Sanjay Singh, 2019. "The Long-Run Effects of Monetary Policy," 2019 Meeting Papers 1307, Society for Economic Dynamics.
    9. Òscar Jordà, 2023. "Local Projections for Applied Economics," Working Paper Series 2023-16, Federal Reserve Bank of San Francisco.
    10. van den End, Jan Willem & Konietschke, Paul & Samarina, Anna & Stanga, Irina M., 2021. "Macroeconomic reversal rate in a low interest rate environment," Working Paper Series 2620, European Central Bank.
    11. Gasteiger, Emanuel & Grimaud, Alex, 2023. "Price setting frequency and the Phillips curve," European Economic Review, Elsevier, vol. 158(C).
    12. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Shapiro, 2023. "Monetary tightening, inflation drivers and financial stress," BIS Working Papers 1155, Bank for International Settlements.
    13. Ruge-Murcia, Francisco, 2020. "Estimating nonlinear dynamic equilibrium models by matching impulse responses," Economics Letters, Elsevier, vol. 197(C).
    14. Luca Brugnolini, 2018. "About Local Projection Impulse Response Function Reliability," CEIS Research Paper 440, Tor Vergata University, CEIS, revised 09 Jun 2018.
    15. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    16. Leonardo Nogueira Ferreira, 2023. "Monetary Policy Surprises, Financial Conditions, and the String Theory Revisited," Working Papers Series 573, Central Bank of Brazil, Research Department.
    17. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2024. "Monetary policy shock and impact asymmetry in bank lending channel: Evidence from the UK housing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 511-530, January.
    18. Davide Debortoli & Mario Forni & Luca Gambetti & Luca Sala, 2020. "Asymmetric monetary policy tradeoffs," Economics Working Papers 1742, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2023.
    19. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    20. Kärkkäinen, Samu & Silvo, Aino, 2023. "Household debt, liquidity constraints and the interest rate elasticity of private consumption," BoF Economics Review 2/2023, Bank of Finland.
    21. Balke, Nathan S. & Martínez-García, Enrique & Zeng, Zheng, 2021. "In no uncertain terms: The effect of uncertainty on credit frictions and monetary policy," Economic Modelling, Elsevier, vol. 100(C).
    22. Nick Stenner, 2022. "The Asymmetric Effects of Monetary Policy: Evidence from the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 516-543, June.
    23. Ryan Niladri Banerjee & Valerie Boctor & Aaron Mehrotra & Fabrizio Zampolli, 2022. "Fiscal deficits and inflation risks: the role of fiscal and monetary policy regimes," BIS Working Papers 1028, Bank for International Settlements.

  15. Régis Barnichon & Christian Matthes & Alexander Ziegenbein, 2018. "The Financial Crisis at 10: Will We Ever Recover?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Ian W. R. Martin & Robert S. Pindyck, 2020. "Welfare Costs of Catastrophes: Lost Consumption and Lost Lives," Working Papers 2020.27, Fondazione Eni Enrico Mattei.
    2. Tervala, Juha, 2021. "Hysteresis and the welfare costs of recessions," Economic Modelling, Elsevier, vol. 95(C), pages 136-144.
    3. Aobdia, Daniel & Dou, Yiwei & Kim, Jungbae, 2021. "Public audit oversight and the originate-to-distribute model," Journal of Accounting and Economics, Elsevier, vol. 72(1).
    4. Jacques Bughin, 2023. "Resilience is more than being able to rebound :it should be used as a competitive advantage," Working Papers TIMES² 2023-062, ULB -- Universite Libre de Bruxelles.
    5. Òscar Jordà & Fernanda Nechio, 2020. "Inflation Globally," Central Banking, Analysis, and Economic Policies Book Series, in: Gonzalo Castex & Jordi Galí & Diego Saravia (ed.),Changing Inflation Dynamics,Evolving Monetary Policy, edition 1, volume 27, chapter 8, pages 269-316, Central Bank of Chile.

  16. Thomas A. Lubik & Christian Matthes & David A. Price, 2018. "How Likely Is a Return to the Zero Lower Bound?," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue September.

    Cited by:

    1. James S. Fackler & W. Douglas McMillin, 2018. "Nominal GDP versus Price Level Targeting: An Empirical Evaluation," Departmental Working Papers 2018-05, Department of Economics, Louisiana State University.

  17. Régis Barnichon & Christian Matthes, 2017. "The Natural Rate of Unemployment over the Past 100 Years," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Janet L. Yellen, 2017. "Inflation, uncertainty, and monetary policy," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(4), pages 194-207, October.
    2. Janet L. Yellen, 2017. "Inflation, Uncertainty, and Monetary Policy : a speech at the \"Prospects for Growth: Reassessing the Fundamentals\" 59th Annual Meeting of the National Association for Business Economics, C," Speech 971, Board of Governors of the Federal Reserve System (U.S.).
    3. Reuven Glick, 2019. "R* and the Global Economy," Working Paper Series 2019-18, Federal Reserve Bank of San Francisco.

  18. Régis Barnichon & Christian Matthes & Timothy Sablik, 2017. "Are the Effects of Monetary Policy Asymmetric?," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue March.

    Cited by:

    1. Manuchehr Irandoust, 2020. "The effectiveness of monetary policy and output fluctuations: An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 161-181, June.
    2. Hang, Yin & Xue, Wenjun, 2020. "The asymmetric effects of monetary policy on the business cycle: Evidence from the panel smoothed quantile regression model," Economics Letters, Elsevier, vol. 195(C).
    3. Albertazzi, Ugo & Barbiero, Francesca & Marqués-Ibáñez, David & Popov, Alexander & Rodriguez d’Acri, Costanza & Vlassopoulos, Thomas, 2020. "Monetary policy and bank stability: the analytical toolbox reviewed," Working Paper Series 2377, European Central Bank.
    4. Grégory Levieuge & Jean-Guillaume Sahuc, 2021. "Downward Interest Rate Rigidity," Working papers 828, Banque de France.
    5. Evgenidis, Anastasios & Salachas, Evangelos, 2019. "Unconventional monetary policy and the credit channel in the euro area," Economics Letters, Elsevier, vol. 185(C).
    6. Grégory LEVIEUGE & Jean-Guillaume SAHUC, 2020. "Monetary policy transmission with downward interest rate rigidity," LEO Working Papers / DR LEO 2744, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    7. van den End, Jan Willem & Konietschke, Paul & Samarina, Anna & Stanga, Irina M., 2021. "Macroeconomic reversal rate in a low interest rate environment," Working Paper Series 2620, European Central Bank.
    8. Central Bank of Malaysia, 2022. "Monetary and fiscal policy interactions in the wake of the pandemic," BIS Papers chapters, in: Bank for International Settlements (ed.), The monetary-fiscal policy nexus in the wake of the pandemic, volume 122, pages 187-194, Bank for International Settlements.
    9. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    10. Nusair, Salah A., 2020. "The asymmetric effects of oil price changes on unemployment: Evidence from Canada and the U.S," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).

  19. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    See citations under working paper version above.
  20. Pooyan Amir‐Ahmadi & Christian Matthes & Mu‐Chun Wang, 2016. "Drifts and volatilities under measurement error: Assessing monetary policy shocks over the last century," Quantitative Economics, Econometric Society, vol. 7(2), pages 591-611, July.

    Cited by:

    1. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2020. "Choosing Prior Hyperparameters: With Applications to Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 124-136, January.
    2. Amir-Ahmadi, Pooyan & Matthes, Christian & Wang, Mu-Chun, 2017. "Measurement errors and monetary policy: Then and now," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 66-78.
    3. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    4. Martin Gachter & Elias Hasler & Florian Huber, 2023. "A tale of two tails: 130 years of growth-at-risk," Papers 2302.08920, arXiv.org.
    5. Taeyoung Doh, 2017. "Trend and Uncertainty in the Long-Term Real Interest Rate: Bayesian Exponential Tilting with Survey Data," Research Working Paper RWP 17-8, Federal Reserve Bank of Kansas City.
    6. Victor Pontines, 2020. "The real effects of loan-to-value limits: Empirical evidence from Korea," CAMA Working Papers 2020-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
    8. Solikin M. Juhro & Paresh Kumar Narayan & Bernard Njindan Iyke, 2022. "Understanding monetary and fiscal policy rule interactions in Indonesia," Applied Economics, Taylor & Francis Journals, vol. 54(45), pages 5190-5208, September.
    9. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
    10. Baumeister, Christiane & Hamilton, James D., 2021. "Reprint: Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 114(C).
    11. Michał Rubaszek & Karol Szafranek, 2022. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers 2022-078, Warsaw School of Economics, Collegium of Economic Analysis.
    12. Horvath, Jaroslav, 2020. "Macroeconomic disasters and the equity premium puzzle: Are emerging countries riskier?," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    13. Thomas A. Lubik & Christian Matthes & Andrew Owens, 2016. "Beveridge Curve Shifts and Time-Varying Parameter VARs," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 197-226.
    14. Jansson, Walter, 2018. "Stock markets, banks and economic growth in the UK, 1850–1913," Financial History Review, Cambridge University Press, vol. 25(3), pages 263-296, December.
    15. Njindan Iyke, Bernard, 2016. "Are Monetary Policy Disturbances Important in Ghana? Some Evidence from Agnostic Identification," MPRA Paper 70205, University Library of Munich, Germany.
    16. James M. Nason & Gregor W. Smith, 2023. "Uk Inflation Dynamics Since The Thirteenth Century," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(4), pages 1595-1614, November.
    17. Laura Liu & Christian Matthes & Katerina Petrova & Jessica Sackett Romero, 2019. "Monetary Policy across Space and Time," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue August.
    18. Christiane Baumeister & James D. Hamilton, 2020. "Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions," NBER Working Papers 26606, National Bureau of Economic Research, Inc.
    19. Aymeric Ortmans, 2020. "Evolving Monetary Policy in the Aftermath of the Great Recession," Documents de recherche 20-01, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    20. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.

  21. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    See citations under working paper version above.
  22. Thomas A. Lubik & Christian Matthes & Andrew Owens, 2016. "Beveridge Curve Shifts and Time-Varying Parameter VARs," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 197-226.

    Cited by:

    1. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    2. Thomas A. Lubik & Christian Matthes, 2019. "How Likely Is the Zero Lower Bound?," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 41-54.
    3. Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    4. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
    5. Michał Rubaszek & Karol Szafranek, 2022. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers 2022-078, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    7. Patella, Valeria & Tancioni, Massimiliano, 2021. "Confidence Swings and Sovereign Risk Dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 195-206.
    8. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.

  23. Thomas A. Lubik & Christian Matthes, 2015. "Calculating the Natural Rate of Interest: A Comparison of Two Alternative Approaches," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue Oct.

    Cited by:

    1. Breach, Tomas & D’Amico, Stefania & Orphanides, Athanasios, 2020. "The term structure and inflation uncertainty," Journal of Financial Economics, Elsevier, vol. 138(2), pages 388-414.
    2. Kathryn Holston & Thomas Laubach & John C. Williams, 2016. "Measuring the Natural Rate of Interest: International Trends and Determinants," Working Paper Series 2016-11, Federal Reserve Bank of San Francisco.
    3. Rodolfo G. Campos & Jesús Fernández-Villaverde & Galo Nuño & Peter Paz, 2024. "Navigating by Falling Stars: Monetary Policy with Fiscally Driven Natural Rates," NBER Working Papers 32219, National Bureau of Economic Research, Inc.
    4. Jonathan Lecznar & Thomas A. Lubik, 2017. "Real Rates and Consumption Smoothing in a Low Interest Rate Environment: The Case of Japan," Working Paper 17-8, Federal Reserve Bank of Richmond.
    5. John C. Williams, 2017. "Preparing for the Next Storm: Reassessing Frameworks & Strategies in a Low R-Star World," Speech 176, Federal Reserve Bank of San Francisco.
    6. Anthony J Evans, 2020. "The natural rate of interest: An estimate for the United Kingdom," Economic Affairs, Wiley Blackwell, vol. 40(1), pages 24-35, February.
    7. Michael D. Bauer & Glenn D. Rudebusch, 2017. "Interest Rates Under Falling Stars," CESifo Working Paper Series 6571, CESifo.
    8. Jeffrey M. Lacker, 2016. "What Monetary Policy Can Do," Cato Journal, Cato Journal, Cato Institute, vol. 36(2), pages 261-268, Spring/Su.
    9. Marco Del Negro & Domenico Giannone & Marc Giannoni & Andrea Tambalotti, 2018. "Global trends in interest rates," Staff Reports 866, Federal Reserve Bank of New York.
    10. John C. Williams, 2017. "Three Questions on R-star," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    11. Krustev, Georgi, 2019. "The natural rate of interest and the financial cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 193-210.
    12. Taylor, John B. & Wieland, Volker, 2016. "Finding the equilibrium real interest rate in a fog of policy deviations," IMFS Working Paper Series 103, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    13. Mikkel Barslund & Lars Ludolph, 2019. "Could the decrease in Belgian government debt-servicing costs offset increased age-related expenditure?," Public Sector Economics, Institute of Public Finance, vol. 43(3), pages 225-246.
    14. Joscha Beckmann & Klaus-Jürgen Gern & Nils Jannsen, 2022. "Should they stay or should they go? Negative interest rate policies under review," International Economics and Economic Policy, Springer, vol. 19(4), pages 885-912, October.
    15. Emilio Ocampo, 2020. "The Global Disinflation Puzzle. A Selective Review of the Theory and Evidence in an Historical Context," CEMA Working Papers: Serie Documentos de Trabajo. 726, Universidad del CEMA.
    16. Boysen-Hogrefe, Jens & Fiedler, Salomon & Gern, Klaus-Jürgen & Groll, Dominik & Jannsen, Nils & Kooths, Stefan, 2021. "Vermögenspreise, Zinseffekte und die Robustheit der öffentlichen Finanzen in Deutschland - eine Szenario-Analyse," Kieler Beiträge zur Wirtschaftspolitik 36, Kiel Institute for the World Economy (IfW Kiel).
    17. Thomas Laubach & John C. Williams, 2015. "Measuring the natural rate of interest redux," Working Paper Series 2015-16, Federal Reserve Bank of San Francisco.
    18. Guihai Zhao, 2020. "Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields," Staff Working Papers 20-14, Bank of Canada.
    19. Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
    20. Reuven Glick, 2019. "R* and the Global Economy," Working Paper Series 2019-18, Federal Reserve Bank of San Francisco.
    21. Michael D. Bauer & Glenn D. Rudebusch, 2023. "The Rising Cost of Climate Change: Evidence from the Bond Market," The Review of Economics and Statistics, MIT Press, vol. 105(5), pages 1255-1270, September.
    22. Mariarosaria Comunale & Jonas Striaukas, 2017. "Unconventional monetary policy: interest rates and low inflation: A review of literature and methods," CAMA Working Papers 2017-29, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    23. Fu, Bowen, 2023. "Measuring the trend real interest rate in a data-rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    24. Tweneboah Senzu, Emmanuel, 2021. "Eco-currency: Proposition of a monetary policy design for a unitary currency program of a frailty economic zone," MPRA Paper 108527, University Library of Munich, Germany.
    25. Wang, Bin & Kwan, Yum K., 2021. "Measuring the natural rates of interest of OECD and BRICS economies: A time varying perspective," Journal of International Money and Finance, Elsevier, vol. 112(C).
    26. José Dorich & Nicholas Labelle St-Pierre & Vadym Lepetyuk & Rhys R. Mendes, 2018. "Could a higher inflation target enhance macroeconomic stability?," Canadian Journal of Economics, Canadian Economics Association, vol. 51(3), pages 1029-1055, August.
    27. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R, Federal Reserve Bank of Cleveland, revised 15 Aug 2022.
    28. Ásgeir Daníelsson & Ólafur Sindri Helgason & Stefán Thórarinsson, 2016. "Estimating the Natural Interest Rate for Iceland: An Exploratory Study," Economics wp74, Department of Economics, Central bank of Iceland.
    29. John C. Williams, 2016. "Assessing the New Normal(s). Speech to the Federal Home Loan Bank of San Francisco’s 2016 Member Conference, San Francisco, California, October 21, 2016," Speech 171, Federal Reserve Bank of San Francisco.
    30. Emanuel Kohlscheen & Jouchi Nakajima, 2019. "Steady-state growth," BIS Working Papers 812, Bank for International Settlements.
    31. Rachael McCririck & Daniel Rees, 2017. "The Neutral Interest Rate," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 09-18, September.
    32. Corneo, Giacomo, 2017. "Ein Staatsfonds, der eine soziale Dividende finanziert," Discussion Papers 2017/13, Free University Berlin, School of Business & Economics.
    33. Enrique Martínez García, 2020. "Get the Lowdown: The International Side of the Fall in the U.S. Natural Rate of Interest," Globalization Institute Working Papers 403, Federal Reserve Bank of Dallas, revised 20 Feb 2021.
    34. Luis Ceballos & Jorge A. Fornero & Andrés Gatty, 2017. "Nuevas estimaciones de la tasa real neutral de Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 120-143, December.
    35. Kurt F. Lewis & Francisco Vazquez-Grande, 2017. "Measuring the Natural Rate of Interest : A Note on Transitory Shocks," Finance and Economics Discussion Series 2017-059, Board of Governors of the Federal Reserve System (U.S.).
    36. Zarazúa Juárez, Carlos Alberto, 2023. "Understanding the natural rate of interest for a small open economy," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
    37. Dilian Vassilev, 2021. "A Model of Natural Interest Rate: The Case of Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 46-72.
    38. Jens H. E. Christensen & Glenn D. Rudebusch, 2018. "A New Normal for Interest Rates? Evidence from Inflation-Indexed Debt," Working Paper Series 2017-07, Federal Reserve Bank of San Francisco.
    39. Alpaslan AKÇORAOĞLU, 2018. "Küresel Stagnasyon ve İktisadi Stagnasyon Teorilerinin Karşılaştırmalı Analizi," Sosyoekonomi Journal, Sosyoekonomi Society, issue 26(35).
    40. Bofinger, Peter & Schnabel, Isabel & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2017. "Für eine zukunftsorientierte Wirtschaftspolitik. Jahresgutachten 2017/18 [Towards a Forward-Looking Economic Policy. Annual Report 2017/18]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201718.
    41. John C. Williams, 2017. "Preparing for the Next Storm: Reassessing Frameworks and Strategies in a Low R-star World," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
    42. Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
    43. Carrillo Julio A. & Elizondo Rocío & Rodríguez-Pérez Cid Alonso & Roldán-Peña Jessica, 2018. "What Determines the Neutral Rate of Interest in an Emerging Economy?," Working Papers 2018-22, Banco de México.
    44. John C. Williams, 2016. "Whither Inflation Targeting? Speech to the Hayek Group, Reno, Nevada, September 6, 2016," Speech 169, Federal Reserve Bank of San Francisco.
    45. Kevin J. Lansing, 2019. "Endogenous Forecast Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco.
    46. Wang, Bin, 2019. "Measuring the natural rate of interest of China: A time varying perspective," Economics Letters, Elsevier, vol. 176(C), pages 117-120.
    47. B. De Backer & J. Wauters, 2017. "The cyclical and structural determinants of the low interest rate environment," Economic Review, National Bank of Belgium, issue ii, pages 69-86, september.
    48. Tibor Hledik & Jan Vlcek, 2018. "Quantifying the Natural Rate of Interest in a Small Open Economy - The Czech Case," Working Papers 2018/7, Czech National Bank.
    49. Rasa Stasiukynaite, 2017. "Understanding Monetary Policy Stance," Bank of Lithuania Occasional Paper Series 14, Bank of Lithuania.
    50. Mongelli, Francesco Paolo & Pointner, Wolfgang & van den End, Jan Willem, 2022. "The effects of climate change on the natural rate of interest: a critical survey," Working Paper Series 2744, European Central Bank.

  24. Christian Matthes, 2015. "Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 1-29, February.

    Cited by:

    1. Chatelain, Jean-Bernard & Ralf, Kirsten, 2017. "Can we Identify the Fed's Preferences?," MPRA Paper 76831, University Library of Munich, Germany.
    2. Chatelain, Jean-Bernard & Ralf Kirsten, 2016. "Countercyclical versus Procyclical Taylor Principles," EconStor Preprints 129796, ZBW - Leibniz Information Centre for Economics.
    3. Lu, Yang K. & King, Robert G. & Pasten, Ernesto, 2016. "Optimal reputation building in the New Keynesian model," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 233-249.
    4. Liu, Ding & Zhang, Yue & Sun, Weihong, 2020. "Commitment or discretion? An empirical investigation of monetary policy preferences in China," Economic Modelling, Elsevier, vol. 85(C), pages 409-419.
    5. Aeimit Lakdawala & Davide Debortoli, 2013. "How credible is the Federal Reserve?:A structural estimation of policy re-optimizations," 2013 Meeting Papers 1333, Society for Economic Dynamics.
    6. Christian Matthes & Francesca Rondina, 2017. "Two-sided Learning and Short-Run Dynamics in a New Keynesian Model of the Economy," Working Papers 1705E, University of Ottawa, Department of Economics.
    7. Robert G. King & Yang K. Lu, 2020. "Managing Expectations in the New Keynesian Model," HKUST CEP Working Papers Series 202007, HKUST Center for Economic Policy.

  25. Cogley, Timothy & Matthes, Christian & Sbordone, Argia M., 2015. "Optimized Taylor rules for disinflation when agents are learning," Journal of Monetary Economics, Elsevier, vol. 72(C), pages 131-147.
    See citations under working paper version above.
  26. Hollmayr, Josef & Matthes, Christian, 2015. "Learning about fiscal policy and the effects of policy uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 59(C), pages 142-162.
    See citations under working paper version above.
  27. Thomas A. Lubik & Christian Matthes, 2015. "Time-Varying Parameter Vector Autoregressions: Specification, Estimation, and an Application," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 323-352.

    Cited by:

    1. Jonathan Lecznar & Thomas A. Lubik, 2017. "Real Rates and Consumption Smoothing in a Low Interest Rate Environment: The Case of Japan," Working Paper 17-8, Federal Reserve Bank of Richmond.
    2. Stéphane Auray & Aurélien Eyquem, 2016. "Episodes of War and Peace in an Estimated Open Economy Model," Working Papers 2016-01, Center for Research in Economics and Statistics.
    3. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).
    4. Esmaeili, Parisa & Rafei, Meysam, 2021. "Dynamics analysis of factors affecting electricity consumption fluctuations based on economic conditions: Application of SVAR and TVP-VAR models," Energy, Elsevier, vol. 226(C).
    5. Szafranek, Karol & Papież, Monika & Rubaszek, Michał & Śmiech, Sławomir, 2023. "How immune is the connectedness of European natural gas markets to exceptional shocks?," Resources Policy, Elsevier, vol. 85(PA).
    6. Legrand, Romain, 2018. "Time-Varying Vector Autoregressions: Efficient Estimation, Random Inertia and Random Mean," MPRA Paper 88925, University Library of Munich, Germany.
    7. Taylor, Alan M. & Davis, Josh & Fuenzalida, Cristian, 2019. "The Natural Rate Puzzle: Global Macro Trends and the Market-Implied r," CEPR Discussion Papers 14201, C.E.P.R. Discussion Papers.
    8. Domenico Lombardi & Pierre L. Siklos & Xiangyou Xie, 2018. "Monetary policy transmission in systemically important economies and China’s impact," CAMA Working Papers 2018-50, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    9. Thomas A. Lubik & Christian Matthes & Andrew Owens, 2016. "Beveridge Curve Shifts and Time-Varying Parameter VARs," Economic Quarterly, Federal Reserve Bank of Richmond, issue 3Q, pages 197-226.
    10. Hess T. Chung & Etienne Gagnon & Taisuke Nakata & Matthias Paustian & Bernd Schlusche & James Trevino & Diego Vilán & Wei Zheng, 2019. "Monetary Policy Options at the Effective Lower Bound : Assessing the Federal Reserve's Current Policy Toolkit," Finance and Economics Discussion Series 2019-003, Board of Governors of the Federal Reserve System (U.S.).
    11. Joshua C.C. Chan & Rodney W. Strachan, 2023. "Bayesian State Space Models In Macroeconometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
    12. Marcin Pietrzak, 2023. "What can monetary policy tell us about Bitcoin?," Annals of Finance, Springer, vol. 19(4), pages 545-559, December.
    13. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    14. Krustev, Georgi & Casalis, André, 2020. "Cyclical drivers of euro area consumption: what can we learn from durable goods?," Working Paper Series 2386, European Central Bank.
    15. Luigi Infante & Francesca Lilla & Francesco Vercelli, 2023. "The effects of the pandemic on households' financial savings: a Bayesian structural VAR analysis," Temi di discussione (Economic working papers) 1421, Bank of Italy, Economic Research and International Relations Area.

  28. Christian Matthes & Timothy Sablik, 2014. "Learning about Fiscal Policy Uncertainty," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, issue Jan.

    Cited by:

    1. La-Bhus Fah Jirasavetakul & Mr. Antonio Spilimbergo, 2018. "Economic Policy Uncertainty in Turkey," IMF Working Papers 2018/272, International Monetary Fund.

  29. Fabio Canova & Filippo Ferroni & Christian Matthes, 2014. "Choosing The Variables To Estimate Singular Dsge Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1099-1117, November.
    See citations under working paper version above.
  30. Matthes, Christian & Wang, Mu-Chun, 2012. "What drives inflation in New Keynesian models?," Economics Letters, Elsevier, vol. 114(3), pages 338-342.

    Cited by:

    1. Markku Lanne & Jani Luoto, 2014. "Does Output Gap, Labour's Share or Unemployment Rate Drive Inflation?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(5), pages 715-726, October.
    2. Zhao Han & Xiaohan Ma & Ruoyun Mao, 2023. "The Role of Dispersed Information in Inflation and Inflation Expectations," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 72-106, April.
    3. Ooft, Gavin, 2018. "Modelling and Forecasting Inflation for the Economy of Suriname," EconStor Preprints 215534, ZBW - Leibniz Information Centre for Economics.
    4. Ooft, Gavin, 2020. "Forecasting Monthly Inflation: An Application To Suriname," Studies in Applied Economics 144, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    5. Selen Başer Andiç & Hande Küçük & Fethi Öğünç, 2015. "Inflation Dynamics in Turkey: In Pursuit of a Domestic Cost Measure," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(2), pages 418-431, March.

  31. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    See citations under working paper version above.

Software components

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Chapters

  1. Laura Liu & Christian Matthes & Katerina Petrova, 2022. "Monetary Policy Across Space and Time," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 37-64, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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