IDEAS home Printed from https://ideas.repec.org/e/c/pfo181.html
   My authors  Follow this author

Andrew T. Foerster

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Sudden Stops and COVID-19: Lessons from Mexico’s History," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2020(33), pages 01-05, November.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Emerging markets
  2. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models

Working papers

  1. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Working Paper Series 2019-16, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2020. "Foreign Shocks as Granular Fluctuations," Staff Reports 947, Federal Reserve Bank of New York.
    3. Christian vom Lehn & Thomas Winberry, 2019. "The Investment Network, Sectoral Comovement, and the Changing U.S. Business Cycle," NBER Working Papers 26507, National Bureau of Economic Research, Inc.
    4. Sen, A., 2024. "Structural Change at a Disaggregated Level: Sectoral Heterogeneity Matters," Janeway Institute Working Papers 2410, Faculty of Economics, University of Cambridge.
    5. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.
    6. Pauline Affeldt & Tomaso Duso & Klaus Gugler & Joanna Piechucka, 2021. "Market Concentration in Europe: Evidence from Antitrust Markets," CESifo Working Paper Series 8866, CESifo.
    7. Francisco J. Buera & Nicholas Trachter, 2024. "Sectoral Development Multipliers," Working Paper 24-02, Federal Reserve Bank of Richmond.
    8. Paul Gaggl & Aspen Gorry & Christian vom Lehn, 2023. "Structural Change in Production Networks and Economic Growth," CESifo Working Paper Series 10460, CESifo.
    9. Fangzhi Wang & Hua Liao & Richard S. J. Tol, 2023. "Baumol's Climate Disease," Papers 2312.00160, arXiv.org.
    10. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.

  2. 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.

  3. Jason Choi & Andrew Foerster, 2020. "Optimal Monetary Policy Regime Switches," Working Paper Series 2019-3, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Stéphane Lhuissier & Fabien Tripier, 2019. "Regime-Dependent Effects of Uncertainty Shocks: A Structural Interpretation," Working papers 714, Banque de France.
    2. Troy Davig & Andrew T. Foerster, 2017. "Communicating Monetary Policy Rules," Research Working Paper RWP 17-4, Federal Reserve Bank of Kansas City.
    3. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    4. Jason Choi & Andrew T. Foerster, 2016. "Optimal monetary policy regime switches," Research Working Paper RWP 16-7, Federal Reserve Bank of Kansas City.
    5. Neusser, Klaus, 2019. "Time–varying rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    6. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2018. "High trend inflation and passive monetary detours," Bank of Finland Research Discussion Papers 6/2018, Bank of Finland.
    7. Sebastián Cadavid Sánchez, 2018. "Monetary policy and structural changes in Colombia, 1990-2016: A Markov Switching approach," Documentos CEDE 16970, Universidad de los Andes, Facultad de Economía, CEDE.
    8. Faulwasser Timm & Gross Marco & Loungani Prakash & Semmler Willi, 2020. "Unconventional monetary policy in a nonlinear quadratic model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-19, December.
    9. Ernst, Ekkehard & Semmler, Willi & Haider, Alexander, 2016. "Debt deflation, financial market stress and regime change: Evidence from Europe using MRVAR," ZEW Discussion Papers 16-030, ZEW - Leibniz Centre for European Economic Research.
    10. Smith, A. Lee, 2016. "When does the cost channel pose a challenge to inflation targeting central banks?," European Economic Review, Elsevier, vol. 89(C), pages 471-494.

  4. Rebucci, Alessandro & Benigno, Gianluca & Foerster, Andrew & Otrok, Christopher, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," CEPR Discussion Papers 14545, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023. "Oil prices uncertainty, endogenous regime switching, and inflation anchoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 820-839, September.
    2. Damián Pierri, 2021. "Memory, Multiple Equilibria And Emerging Market Crises," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-62, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    3. Rebucci, Alessandro & Ma, Chang, 2019. "Capital Controls: A Survey of the New Literature," CEPR Discussion Papers 14186, C.E.P.R. Discussion Papers.
    4. Nadav Ben Zeev, 2019. "Asymmetric Business Cycles In Emerging Market Economies," Working Papers 1909, Ben-Gurion University of the Negev, Department of Economics.
    5. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    6. Schorfheide, Frank & Aruoba, Boragan & Cuba-Borda, Pablo & Hilga-Flores, Kenji & Villalvazo, Sergio, 2020. "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints," CEPR Discussion Papers 15388, C.E.P.R. Discussion Papers.
    7. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Papers No 9/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    8. Nadav Ben Zeev, 2019. "Identification of Sign-Dependency of Impulse Responses," Working Papers 1907, Ben-Gurion University of the Negev, Department of Economics.
    9. Kirstin Hubrich & Daniel F. Waggoner, 2022. "The transmission of financial shocks and leverage of financial institutions: An endogenous regime switching framework," Finance and Economics Discussion Series 2022-034, Board of Governors of the Federal Reserve System (U.S.).
    10. Zakipour-Saber, Shayan, 2019. "State-dependent Monetary Policy Regimes," Research Technical Papers 4/RT/19, Central Bank of Ireland.
    11. 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.
    12. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Modelling and Estimating Large Macroeconomic Shocks During the Pandemic," National Institute of Economic and Social Research (NIESR) Discussion Papers 530, National Institute of Economic and Social Research.
    13. S. Bogan Aruoba & Pablo Cuba-Borda & Kenji Higa-Flores & Frank Schorfheide & Sergio Villalvazo, 2021. "Online Appendix to "Piecewise-Linear Approximations and Filtering for DSGE Models with Occasionally Binding Constraints"," Online Appendices 20-14, Review of Economic Dynamics.
    14. Julien Albertini & Stéphane Moyen, 2020. "A General and Efficient Method for Solving Regime-Switching DSGE Models," Working Papers halshs-03067554, HAL.
    15. Demosthenes Tambakis, 2021. "A Markov chain measure of systemic banking crisis frequency," Applied Economics Letters, Taylor & Francis Journals, vol. 28(16), pages 1351-1356, September.
    16. Zhou, Jing, 2022. "Collateral quality and house prices," Journal of Economic Dynamics and Control, Elsevier, vol. 145(C).
    17. Grégory LEVIEUGE & Jose David GARCIA REVELO, 2020. "When could macroprudential and monetary policies be in conflict?," LEO Working Papers / DR LEO 2749, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    18. Tolga Özden, 2021. "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers 714, DNB.
    19. Harrison, Richard & Waldron, Matt, 2021. "Optimal policy with occasionally binding constraints: piecewise linear solution methods," Bank of England working papers 911, Bank of England.
    20. Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
    21. Luisa Corrado & Stefano Grassi & Aldo Paolillo, 2021. "Identifying Economic Shocks in a Rare Disaster Environment," CEIS Research Paper 517, Tor Vergata University, CEIS, revised 19 Nov 2021.
    22. Sanha Noh & Ingul Baek, 2022. "What are the Driving Forces of the Economic Downturn in Korea during COVID-19? (Covid-19 Special Issue)," Korean Economic Review, Korean Economic Association, vol. 38, pages 285-322.

  5. Andrew Foerster & Andreas Hornstein & Mark Watson & Pierre-Daniel Sarte, 2019. "Sectoral and Aggregate Structural Change," 2019 Meeting Papers 532, Society for Economic Dynamics.

    Cited by:

    1. Robert Lehmann & Ida Wikman, 2022. "Quarterly GDP Estimates for the German States," ifo Working Paper Series 370, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2020. "Foreign Shocks as Granular Fluctuations," Staff Reports 947, Federal Reserve Bank of New York.
    3. Christian vom Lehn & Thomas Winberry, 2019. "The Investment Network, Sectoral Comovement, and the Changing U.S. Business Cycle," NBER Working Papers 26507, National Bureau of Economic Research, Inc.
    4. Sen, A., 2024. "Structural Change at a Disaggregated Level: Sectoral Heterogeneity Matters," Janeway Institute Working Papers 2410, Faculty of Economics, University of Cambridge.
    5. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.
    6. Pauline Affeldt & Tomaso Duso & Klaus Gugler & Joanna Piechucka, 2021. "Market Concentration in Europe: Evidence from Antitrust Markets," CESifo Working Paper Series 8866, CESifo.
    7. Francisco J. Buera & Nicholas Trachter, 2024. "Sectoral Development Multipliers," Working Paper 24-02, Federal Reserve Bank of Richmond.
    8. Paul Gaggl & Aspen Gorry & Christian vom Lehn, 2023. "Structural Change in Production Networks and Economic Growth," CESifo Working Paper Series 10460, CESifo.
    9. Fangzhi Wang & Hua Liao & Richard S. J. Tol, 2023. "Baumol's Climate Disease," Papers 2312.00160, arXiv.org.
    10. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.

  6. Troy Davig & Andrew T. Foerster, 2018. "Uncertainty and Fiscal Cliffs," Working Paper Series 2018-12, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Murray, James, 2014. "Fiscal Policy Uncertainty and Its Macroeconomic Consequences," MPRA Paper 57409, University Library of Munich, Germany.
    2. Ivana Lolić & Petar Sorić & Marija Logarušić, 2022. "Economic Policy Uncertainty Index Meets Ensemble Learning," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 401-437, August.
    3. Fotiou, Alexandra & Shen, Wenyi & Yang, Shu-Chun S., 2020. "The fiscal state-dependent effects of capital income tax cuts," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    4. Alexander W. Richter, 2013. "The Fiscal Limit and Non-Ricardian Consumers," Auburn Economics Working Paper Series auwp2013-19, Department of Economics, Auburn University.
    5. Pascal Goemans, 2022. "Historical evidence for larger government spending multipliers in uncertain times than in slumps," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1164-1185, July.
    6. Richter, Alexander W. & Throckmorton, Nathaniel A., 2015. "The consequences of an unknown debt target," European Economic Review, Elsevier, vol. 78(C), pages 76-96.
    7. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
    8. Bi, Huixin & Shen, Wenyi & Yang, Shu-Chun S., 2016. "Debt-dependent effects of fiscal expansions," European Economic Review, Elsevier, vol. 88(C), pages 142-157.
    9. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-26.
    10. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    11. Hollmayr, Josef, 2018. "Fiscal regimes and the (non)stationarity of debt," Discussion Papers 11/2018, Deutsche Bundesbank.
    12. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    13. Sitthiyot, Thitithep, 2015. "Macroeconomic and Financial Management in an Uncertain World: What Can We Learn from Complexity Science?," MPRA Paper 73753, University Library of Munich, Germany, revised 11 Dec 2015.
    14. Erin Cottle Hunt & Frank N. Caliendo, 2022. "Social security and longevity risk: An analysis of couples," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(3), pages 547-579, June.
    15. Martha Elena Delgado-Rojas & Hernán Rincón-Castro, 2017. "Incertidumbre acerca de la política fiscal y ciclo económico," Borradores de Economia 1008, Banco de la Republica de Colombia.
    16. Ansgar Belke & Pascal Goemans, 2021. "Uncertainty and nonlinear macroeconomic effects of fiscal policy in the US: a SEIVAR-based analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(4), pages 623-646, May.
    17. Higgins, C. Richard, 2023. "Risk and Uncertainty: The Role of Financial Frictions," Economic Modelling, Elsevier, vol. 119(C).
    18. Stan Veuger & Daniel Shoag, 2013. "Uncertainty and the geography of the Great Recession," AEI Economics Working Papers 694, American Enterprise Institute.
    19. Caliendo, Frank N. & Guo, Nick L. & Smith, Jason M., 2018. "Policy uncertainty and bank bailouts," Journal of Financial Markets, Elsevier, vol. 39(C), pages 111-125.
    20. Caliendo, Frank N. & Gorry, Aspen & Slavov, Sita, 2019. "The cost of uncertainty about the timing of Social Security reform," European Economic Review, Elsevier, vol. 118(C), pages 101-125.

  7. Andrew T. Foerster & Jose Mustre-del-Rio, 2014. "Search with wage posting under sticky prices," Research Working Paper RWP 14-17, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Sergio A. Lago Alves, 2018. "Monetary Policy, Trend Inflation, and Unemployment Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(4), pages 637-673, June.

  8. Zha, Tao & Rubio-Ramírez, Juan Francisco & , & Foerster, Andrew, 2013. "Perturbation Methods for Markov-Switching DSGE Models," CEPR Discussion Papers 9464, C.E.P.R. Discussion Papers.

    Cited by:

    1. Galvão, Ana Beatriz & Giraitis, Liudas & Kapetanios, George & Petrova, Katerina, 2016. "A time varying DSGE model with financial frictions," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 690-716.
    2. Stéphane Lhuissier & Fabien Tripier, 2019. "Regime-Dependent Effects of Uncertainty Shocks: A Structural Interpretation," Working papers 714, Banque de France.
    3. Philippopoulos, Apostolis & Varthalitis, Petros & Vassilatos, Vanghelis, 2015. "Optimal fiscal and monetary policy action in a closed economy," Economic Modelling, Elsevier, vol. 48(C), pages 175-188.
    4. Boris Blagov, 2013. "Financial crises and time- varying risk premia in a small open economy: a Markov-Switching DSGE model for Estonia," Bank of Estonia Working Papers wp2013-8, Bank of Estonia, revised 09 Dec 2013.
    5. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
    6. Andrzej Kocięcki & Marcin Kolasa, 2022. "A solution to the global identification problem in DSGE models," Working Papers 2022-01, Faculty of Economic Sciences, University of Warsaw.
    7. Troy Davig & Andrew Foerster, 2019. "Uncertainty and Fiscal Cliffs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1857-1887, October.
    8. Jonathan Benchimol & Sergey Ivashchenko, 2020. "Switching Volatility in a Nonlinear Open Economy," CFDS Discussion Paper Series 2020/8, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    9. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    10. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    11. Cho, Seonghoon, 2021. "Determinacy and classification of Markov-switching rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    12. Sergey Ivashchenko & Semih Emre Çekin & Kevin Kotzé & Rangan Gupta, 2020. "Forecasting with Second-Order Approximations and Markov-Switching DSGE Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 747-771, December.
    13. Jason Choi & Andrew T. Foerster, 2016. "Optimal monetary policy regime switches," Research Working Paper RWP 16-7, Federal Reserve Bank of Kansas City.
    14. Junior Maih, 2015. "Efficient perturbation methods for solving regime-switching DSGE models," Working Paper 2015/01, Norges Bank.
    15. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    16. Lilia Maliar & Serguei Maliar & John B. Taylor & Inna Tsener, 2020. "A tractable framework for analyzing a class of nonstationary Markov models," Quantitative Economics, Econometric Society, vol. 11(4), pages 1289-1323, November.
    17. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    18. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    19. Martin Kuncl, 2016. "Fragility of Resale Markets for Securitized Assets and Policy of Asset Purchases," Staff Working Papers 16-46, Bank of Canada.
    20. Bekiros, Stelios & Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2016. "Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs," Journal of Financial Stability, Elsevier, vol. 26(C), pages 216-227.
    21. Mehmet Balcilar & Rangan Gupta & Kevin Kotze, 2016. "Forecasting South African Macroeconomic Variables with a Markov-Switching Small Open-Economy Dynamic Stochastic General Equilibrium Model," Working Papers 201603, University of Pretoria, Department of Economics.
    22. Levintal, Oren, 2017. "Fifth-order perturbation solution to DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 80(C), pages 1-16.
    23. Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," NBER Working Papers 26935, National Bureau of Economic Research, Inc.
    24. Timothy Cogley & Boyan Jovanovic, 2020. "Structural Breaks in an Endogenous Growth Model," NBER Working Papers 28026, National Bureau of Economic Research, Inc.
    25. Andrew Binning & Junior Maih, 2017. "Modelling Occasionally Binding Constraints Using Regime-Switching," Working Papers No 9/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    26. 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.
    27. Serguei Maliar & John Taylor & Lilia Maliar, 2016. "The Impact of Alternative Transitions to Normalized Monetary Policy," 2016 Meeting Papers 794, Society for Economic Dynamics.
    28. Blagov, Boris & Funke, Michael, 2013. "The regime-dependent evolution of credibility: A fresh look at Hong Kong s linked exchange rate system," BOFIT Discussion Papers 24/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
    29. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2019. "Time-varying cointegration and the UK great ratios," Bank of England working papers 789, Bank of England.
    30. 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.
    31. Andrew Binning & Hilde C. Bj�rnland & Junior Maih, 2019. "Is Monetary Policy Always Effective? Incomplete Interest Rate Pass-through in a DSGE Model," Working Papers No 09/2019, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    32. Erica X.N. Li & Tao Zha & Ji Zhang & Hao Zhou, 2020. "Stock-Bond Return Correlation, Bond Risk Premium Fundamentals, and Fiscal-Monetary Policy Regime," FRB Atlanta Working Paper 2020-19, Federal Reserve Bank of Atlanta.
    33. Efrem Castelnuovo & Giovanni Pellegrino, 2018. "Uncertainty-dependent Effects of Monetary Policy Shocks: A New Keynesian Interpretation," Melbourne Institute Working Paper Series wp2018n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    34. Xin Wei, 2020. "Dynamic Expectations Formation and U.S. Monetary Policy Regime Change," CAEPR Working Papers 2020-007, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    35. Klaus Neusser, 2018. "The New Keynesian Model with Stochastically Varying Policies," Diskussionsschriften dp1801, Universitaet Bern, Departement Volkswirtschaft.
    36. Sitthiyot, Thitithep, 2015. "Macroeconomic and Financial Management in an Uncertain World: What Can We Learn from Complexity Science?," MPRA Paper 73753, University Library of Munich, Germany, revised 11 Dec 2015.
    37. Neusser, Klaus, 2019. "Time–varying rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
    38. Gibbs, Christopher G. & McClung, Nigel, 2019. "Does my model predict a forward guidance puzzle?," Bank of Finland Research Discussion Papers 19/2019, Bank of Finland.
    39. Zakipour-Saber, Shayan, 2019. "State-dependent Monetary Policy Regimes," Research Technical Papers 4/RT/19, Central Bank of Ireland.
    40. Ajevskis Viktors, 2017. "Semi-global solutions to DSGE models: perturbation around a deterministic path," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-28, April.
    41. Frédéric Karamé, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Post-Print hal-02296093, HAL.
    42. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2018. "High trend inflation and passive monetary detours," Bank of Finland Research Discussion Papers 6/2018, Bank of Finland.
    43. Sebastián Cadavid Sánchez, 2018. "Monetary policy and structural changes in Colombia, 1990-2016: A Markov Switching approach," Documentos CEDE 16970, Universidad de los Andes, Facultad de Economía, CEDE.
    44. Francesco Bianchi & Howard Kung & Mikhail Tirskikh, 2019. "The Origins and Effects of Macroeconomic Uncertainty," 2019 Meeting Papers 245, Society for Economic Dynamics.
    45. Foerster, Andrew T., 2015. "Financial crises, unconventional monetary policy exit strategies, and agents׳ expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 191-207.
    46. Raffaella Giacomini & Barbara Rossi, 2015. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 207-229, August.
    47. Francesco Bianchi & Leonardo Melosi, 2012. "Modeling the Evolution of Expectations and Uncertainty in General Equilibrium," PIER Working Paper Archive 13-030, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    48. 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.
    49. Thitithep Sitthiyot, 2021. "Macroeconomic and financial management in an uncertain world: What can we learn from complexity science?," Papers 2112.15294, arXiv.org.
    50. Manuel Gonzalez-Astudillo, 2013. "Monetary-fiscal policy interactions: interdependent policy rule coefficients," Finance and Economics Discussion Series 2013-58, Board of Governors of the Federal Reserve System (U.S.).
    51. Kapetanios, George & Masolo, Riccardo M. & Petrova, Katerina & Waldron, Matthew, 2019. "A time-varying parameter structural model of the UK economy," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
    52. Dave, Chetan & Sorge, Marco, 2023. "Fat Tailed DSGE Models: A Survey and New Results," Working Papers 2023-3, University of Alberta, Department of Economics.
    53. McClung, Nigel, 2020. "E-stability vis-à-vis determinacy in regime-switching models," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    54. Marco Airaudo & Ina Hajdini, 2021. "Consistent Expectations Equilibria In Markov Regime Switching Models And Inflation Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1401-1430, November.
    55. Francesco Bianchi & Cosmin L. Ilut & Martin Schneider, 2018. "Uncertainty Shocks, Asset Supply and Pricing over the Business Cycle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 810-854.
    56. Smith, A. Lee, 2016. "When does the cost channel pose a challenge to inflation targeting central banks?," European Economic Review, Elsevier, vol. 89(C), pages 471-494.
    57. Gianni Amisano & Oreste Tristani, 2019. "Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates," Finance and Economics Discussion Series 2019-024, Board of Governors of the Federal Reserve System (U.S.).
    58. Muhammad Farid Ahmed & Stephen Satchell, 2019. "Some Dynamic and Steady-State Properties of Threshold Auto-Regressions with Applications to Stationarity and Local Explosivity," JRFM, MDPI, vol. 12(3), pages 1-18, July.
    59. Bianchi, Francesco, 2016. "Methods for measuring expectations and uncertainty in Markov-switching models," Journal of Econometrics, Elsevier, vol. 190(1), pages 79-99.
    60. Borovicka, J. & Hansen, L.P., 2016. "Term Structure of Uncertainty in the Macroeconomy," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1641-1696, Elsevier.
    61. Andrew Lee Smith, 2015. "When does the cost channel pose a challenge to inflation targeting central banks?," Research Working Paper RWP 15-6, Federal Reserve Bank of Kansas City.
    62. Higgins, C. Richard, 2017. "Estimating general equilibrium models with stochastic volatility and changing parameters," Economic Modelling, Elsevier, vol. 66(C), pages 163-170.
    63. Guido Ascari & Anna Florio & Alessandro Gobbi, 2016. "Monetary and Fiscal Policy Interactions: Leeper (1991) Redux," Economics Series Working Papers 788, University of Oxford, Department of Economics.
    64. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    65. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    66. Eo, Yunjong & McClung, Nigel, 2021. "Determinacy and E-stability with interest rate rules at the zero lower bound," Bank of Finland Research Discussion Papers 14/2021, Bank of Finland.
    67. สิทธิยศ, ฐิติเทพ & ธัญลักษณ์ภาคย์, เกษรา, 2014. "การทดสอบข้อสมมติของทฤษฎีเศรษฐศาสตร์เกี่ยวกับความมีเหตุผลของมนุษย์: หลักฐานเชิงประจักษ์จากการทดลองในระบบปิด [Testing Rationality Assumptions in Economic Theory: Evidence from Closed Experiment]," MPRA Paper 74878, University Library of Munich, Germany, revised 05 Jan 2015.
    68. Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting in a DSGE Model with Banking Intermediation: Evidence from the US," Working Papers 292, University of Milano-Bicocca, Department of Economics, revised Feb 2015.
    69. Han Chen, 2014. "Assessing the Effects of the Zero-Interest-Rate Policy through the Lens of a Regime-Switching DSGE Model," Finance and Economics Discussion Series 2014-38, Board of Governors of the Federal Reserve System (U.S.).
    70. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.

  9. Andrew T. Foerster, 2013. "Monetary policy regime switches and macroeconomic dynamic," Research Working Paper RWP 13-04, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Stéphane Lhuissier & Fabien Tripier, 2019. "Regime-Dependent Effects of Uncertainty Shocks: A Structural Interpretation," Working papers 714, Banque de France.
    2. Guido Ascari & Anna Florio & Alessandro Gobbi, 2020. "Controlling Inflation With Timid Monetary–Fiscal Regime Changes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 1001-1024, May.
    3. Jason Choi & Andrew T. Foerster, 2016. "Optimal monetary policy regime switches," Research Working Paper RWP 16-7, Federal Reserve Bank of Kansas City.
    4. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
    5. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2017. "Controlling inflation with switching monetary and fiscal policies: expectations, fiscal guidance and timid regime changes," Bank of Finland Research Discussion Papers 9/2017, Bank of Finland.
    6. Qureshi, Irfan, 2017. "Monetary Policy Shifts and Central Bank Independence," The Warwick Economics Research Paper Series (TWERPS) 1139, University of Warwick, Department of Economics.
    7. Ascari, Guido & Florio, Anna & Gobbi, Alessandro, 2018. "High trend inflation and passive monetary detours," Bank of Finland Research Discussion Papers 6/2018, Bank of Finland.
    8. Dennis Wesselbaum, 2022. "Cheap Talk in a New Keynesian Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(3), pages 661-691, September.
    9. Bouabdallah, Othman & Jacquinot, Pascal & Patella, Valeria, 2023. "Monetary/fiscal policy regimes in post-war Europe," Working Paper Series 2871, European Central Bank.
    10. Andrew Lee Smith, 2015. "When does the cost channel pose a challenge to inflation targeting central banks?," Research Working Paper RWP 15-6, Federal Reserve Bank of Kansas City.
    11. Guido Ascari & Anna Florio & Alessandro Gobbi, 2016. "Monetary and Fiscal Policy Interactions: Leeper (1991) Redux," Economics Series Working Papers 788, University of Oxford, Department of Economics.
    12. LI, XI HAO & Gallegati, Mauro, 2015. "Stock-Flow Dynamic Projection," MPRA Paper 62047, University Library of Munich, Germany.

  10. Andrew T. Foerster, 2011. "Financial crises, unconventional monetary policy exit strategies, and agents' expectations," Research Working Paper RWP 11-04, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Andreea Andries, 2012. "Justification and Implementation of Exit Strategies in the Context of the Current Crisis," EuroEconomica, Danubius University of Galati, issue 2(31), pages 5-13, May.
    2. Valentin Jouvanceau, 2016. "The Portfolio Rebalancing Channel of Quantitative Easing," Working Papers 1625, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Andrew Binning & Junior Maih, 2015. "Sigma Point Filters For Dynamic Nonlinear Regime Switching Models," Working Papers No 4/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    4. Gianluca Benigno & Andrew Foerster & Christopher Otrok & Alessandro Rebucci, 2020. "Estimating Macroeconomic Models of Financial Crises: An Endogenous Regime-Switching Approach," NBER Working Papers 26935, National Bureau of Economic Research, Inc.
    5. Robert J. Kurtzman & David Zeke, 2017. "Misallocation Costs of Digging Deeper into the Central Bank Toolkit," Finance and Economics Discussion Series 2017-076, Board of Governors of the Federal Reserve System (U.S.).
    6. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    7. Bianchi, Francesco, 2020. "The Great Depression and the Great Recession: A view from financial markets," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 240-261.
    8. Bianca Barbaro & Patrizio Tirelli, 2023. "Forbearance vs foreclosure in a general equilibrium model," Working Papers 516, University of Milano-Bicocca, 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. Shifu Jiang, 2017. "The Ramsey Cooperative and Non-Cooperative Unconventional Monetary Policy," FIW Working Paper series 180, FIW.
    11. Marzie Taheri Sanjani, 2014. "Financial Frictions and Sources of Business Cycle," IMF Working Papers 2014/194, International Monetary Fund.
    12. Huberto Ennis, 2014. "A simple general equilibrium model of large excess reserves," 2014 Meeting Papers 1357, Society for Economic Dynamics.
    13. Belke, Ansgar, 2014. "Exit Strategies and Their Impact on the Euro Area - A Model Based View," Ruhr Economic Papers 467, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    14. Sims, Eric & Wu, Jing Cynthia, 2021. "Evaluating Central Banks’ tool kit: Past, present, and future," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 135-160.
    15. Cargoët, Thibaud & Poutineau, Jean-Christophe, 2018. "Financial disruption and state dependent credit policy," Economic Modelling, Elsevier, vol. 68(C), pages 249-272.

  11. Ching Wai Chiu & Bjorn Eraker & Andrew T. Foerster & Tae Bong Kim & Hernan D. Seoane, 2011. "Estimating VAR's sampled at mixed or irregular spaced frequencies : a Bayesian approach," Research Working Paper RWP 11-11, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    3. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2018. "Using low frequency information for predicting high frequency variables," International Journal of Forecasting, Elsevier, vol. 34(4), pages 774-787.
    4. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
    5. Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2019. "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," EMF Research Papers 20, Economic Modelling and Forecasting Group.
    6. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    7. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    8. Fady Barsoum, 2015. "Point and Density Forecasts Using an Unrestricted Mixed-Frequency VAR Model," Working Paper Series of the Department of Economics, University of Konstanz 2015-19, Department of Economics, University of Konstanz.
    9. Claudia Foroni & Massimiliano Marcellino, 2013. "A survey of econometric methods for mixed-frequency data," Working Paper 2013/06, Norges Bank.
    10. Peter A. Zadrozny, 2015. "Extended Yule-Walker Identification of Varma Models with Single- or Mixed- Frequency Data," Economic Working Papers 485, Bureau of Labor Statistics.
    11. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    12. Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Working Papers 2021-01, Joint Research Centre, European Commission.
    13. Seong, Byeongchan, 2020. "Smoothing and forecasting mixed-frequency time series with vector exponential smoothing models," Economic Modelling, Elsevier, vol. 91(C), pages 463-468.
    14. Ahiadorme, Johnson Worlanyo, 2020. "Monetary policy transmission and income inequality in Sub-Saharan Africa," MPRA Paper 104084, University Library of Munich, Germany.
    15. Jonas E. Arias & Minchul Shin, 2020. "Tracking U.S. Real GDP Growth During the Pandemic," Economic Insights, Federal Reserve Bank of Philadelphia, vol. 5(3), pages 9-14, September.
    16. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    17. Canova, Fabio & Bluwstein, Kristina, 2015. "Beggar-thy-neighbor? The international effects of ECB unconventional monetary policy measures," CEPR Discussion Papers 10856, C.E.P.R. Discussion Papers.
    18. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    19. Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2019. "Forecasting daily electricity prices with monthly macroeconomic variables," Working Paper Series 2250, European Central Bank.
    20. Deborah Gefang & Gary Koop & Aubrey Poon, 2020. "Computationally Efficient Inference in Large Bayesian Mixed Frequency VARs," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-07, Economic Statistics Centre of Excellence (ESCoE).
    21. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," Working Papers 2016-04, Joint Research Centre, European Commission.
    22. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    23. Gani Ramadani & Magdalena Petrovska & Vesna Bucevska, 2021. "Evaluation of mixed frequency approaches for tracking near-term economic developments in North Macedonia," Working Papers 2021-03, National Bank of the Republic of North Macedonia.
    24. Guy P. Nason & Ben Powell & Duncan Elliott & Paul A. Smith, 2017. "Should we sample a time series more frequently?: decision support via multirate spectrum estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 353-407, February.
    25. Thomas B. Götz & Alain W. Hecq, 2019. "Granger Causality Testing in Mixed‐Frequency VARs with Possibly (Co)Integrated Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(6), pages 914-935, November.
    26. Qiu, Yue, 2020. "Forecasting the Consumer Confidence Index with tree-based MIDAS regressions," Economic Modelling, Elsevier, vol. 91(C), pages 247-256.
    27. Claudia Foroni & Francesco Ravazzolo & Luca Rossini, 2020. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Papers 2007.13566, arXiv.org, revised Dec 2022.
    28. Benjamin Born & Johannes Pfeifer, 2021. "Uncertainty‐driven business cycles: Assessing the markup channel," Quantitative Economics, Econometric Society, vol. 12(2), pages 587-623, May.
    29. Anna Samarina & Anh D.M. Nguyen, 2019. "Does monetary policy affect income inequality in the euro area?," Bank of Lithuania Working Paper Series 61, Bank of Lithuania.
    30. Yasutomo Murasawa, 2016. "The Beveridge–Nelson decomposition of mixed-frequency series," Empirical Economics, Springer, vol. 51(4), pages 1415-1441, December.
    31. Foroni, Claudia & Marcellino, Massimiliano & Stevanović, Dalibor, 2018. "Mixed frequency models with MA components," Discussion Papers 02/2018, Deutsche Bundesbank.
    32. Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
    33. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
    34. Ramadani Gani & Petrovska Magdalena & Bucevska Vesna, 2021. "Evaluation of Mixed Frequency Approaches for Tracking Near-Term Economic Developments in North Macedonia," South East European Journal of Economics and Business, Sciendo, vol. 16(2), pages 43-52, December.
    35. Ghysels, Eric, 2016. "Macroeconomics and the reality of mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 294-314.
    36. Dudda, Tom L. & Klein, Tony & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Common Drivers of Commodity Futures?," QBS Working Paper Series 2022/05, Queen's University Belfast, Queen's Business School.
    37. Ankargren, Sebastian & Jonéus, Paulina, 2021. "Simulation smoothing for nowcasting with large mixed-frequency VARs," Econometrics and Statistics, Elsevier, vol. 19(C), pages 97-113.
    38. Michal Franta & David Havrlant & Marek Rusnak, 2014. "Forecasting Czech GDP Using Mixed-Frequency Data Models," Working Papers 2014/08, Czech National Bank.
    39. Qian, Hang, 2016. "A computationally efficient method for vector autoregression with mixed frequency data," Journal of Econometrics, Elsevier, vol. 193(2), pages 433-437.
    40. Sergio Afonso Lago Alves & Angelo Marsiglia Fasolo, 2015. "Not Just Another Mixed Frequency Paper," Working Papers Series 400, Central Bank of Brazil, Research Department.
    41. Jan Klacso, 2015. "The Effects of the Euro Area Entrance on the Monetary Transmission Mechanism in Slovakia in Light of the Global Economic Recession," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 55-83, January.
    42. Gary Koop & Stuart McIntyre & James Mitchell, 2018. "UK Regional Nowcasting using a Mixed Frequency Vector Autoregressive Model," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-07, Economic Statistics Centre of Excellence (ESCoE).
    43. Mayer, Eric & Maas, Daniel & Rüth, Sebastian, 2016. "Current Account Dynamics and the Housing Cycle in Spain," VfS Annual Conference 2016 (Augsburg): Demographic Change 145824, Verein für Socialpolitik / German Economic Association.
    44. Nuttanan Wichitaksorn, 2020. "Analyzing and Forecasting Thai Macroeconomic Data using Mixed-Frequency Approach," PIER Discussion Papers 146, Puey Ungphakorn Institute for Economic Research.
    45. Baumeister, Christiane & Guérin, Pierre & Kilian, Lutz, 2015. "Do high-frequency financial data help forecast oil prices? The MIDAS touch at work," International Journal of Forecasting, Elsevier, vol. 31(2), pages 238-252.
    46. Maas, Daniel & Mayer, Eric & Rüth, Sebastian, 2015. "Current account dynamics and the housing boom and bust cycle in Spain," W.E.P. - Würzburg Economic Papers 94, University of Würzburg, Department of Economics.
    47. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
    48. Foroni, Claudia & Marcellino, Massimiliano, 2014. "A comparison of mixed frequency approaches for nowcasting Euro area macroeconomic aggregates," International Journal of Forecasting, Elsevier, vol. 30(3), pages 554-568.
    49. Qian, Hang, 2013. "Vector Autoregression with Mixed Frequency Data," MPRA Paper 47856, University Library of Munich, Germany.
    50. Marcellino, Massimiliano & Foroni, Claudia, 2014. "Markov-Switching Mixed-Frequency VAR Models," CEPR Discussion Papers 9815, C.E.P.R. Discussion Papers.
    51. Michelle T. Armesto & Kristie M. Engemann & Michael T. Owyang, 2010. "Forecasting with mixed frequencies," Review, Federal Reserve Bank of St. Louis, vol. 92(Nov), pages 521-536.
    52. Camacho, Maximo & Perez-Quiros, Gabriel & Pacce, Matías, 2020. "Spillover effects in international business cycles," Working Paper Series 2484, European Central Bank.
    53. Peter Broer & Jürgen Antony, 2013. "Financial Shocks and Economic Activity in the Netherlands," CPB Discussion Paper 260, CPB Netherlands Bureau for Economic Policy Analysis.
    54. Claudia Foroni & Massimiliano Marcellino, 2014. "Mixed frequency structural VARs," Working Paper 2014/01, Norges Bank.
    55. Gary Koop & Stuart McIntyre & James Mitchell, 2020. "UK regional nowcasting using a mixed frequency vector auto‐regressive model with entropic tilting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 91-119, January.
    56. Jürgen Antony & D. Broer, 2015. "Euro area financial shocks and economic activity in The Netherlands," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 571-595, August.
    57. Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
    58. Trujillo-Barrera, Andres & Pennings, Joost M.E., 2013. "Energy and Food Commodity Prices Linkage: An Examination with Mixed-Frequency Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150465, Agricultural and Applied Economics Association.
    59. Selma Toker & Nimet Özbay & Kristofer Månsson, 2022. "Mixed data sampling regression: Parameter selection of smoothed least squares estimator," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 718-751, July.

  12. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. aggregate shocks : a structural factor analysis of industrial production," Working Paper 08-07, Federal Reserve Bank of Richmond.

    Cited by:

    1. R. Jason Faberman, 2008. "Job flows, jobless recoveries, and the Great Moderation," Working Papers 08-11, Federal Reserve Bank of Philadelphia.
    2. Vasco Carvalho, 2014. "From micro to macro via production networks," Economics Working Papers 1449, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    4. Daniel Garces Diaz, 2018. "Trade, Productivity and Synchrony in Mexican and United States Manufacturing," 2018 Meeting Papers 41, Society for Economic Dynamics.
    5. Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno & Tsutomu Watanabe, 2014. "Analytical Derivation of Power Laws in Firm Size Variables from Gibrat’s Law and Quasi-inversion Symmetry: A Geomorphological Approach," UTokyo Price Project Working Paper Series 019, University of Tokyo, Graduate School of Economics.
    6. Cyrille Lenoel & Garry Young, 2020. "Real-time turning point indicators: Review of current international practices," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-05, Economic Statistics Centre of Excellence (ESCoE).
    7. Anna Pauliina Sandqvist, 2017. "Dynamics of sectoral business cycle comovement," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4742-4759, October.
    8. Isabelle Mejean & Andrei Levchenko & Julian di Giovanni, 2013. "Firms, Destinations, and Aggregate Fluctuations," 2013 Meeting Papers 352, Society for Economic Dynamics.
    9. Ryan Chahrour & Kristoffer Nimark & Stefan Pitschner, 2021. "Sectoral Media Focus and Aggregate Fluctuations," American Economic Review, American Economic Association, vol. 111(12), pages 3872-3922, December.
    10. Vasco M. Carvalho & Alireza Tahbaz-Salehi, 2019. "Production Networks: A Primer," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 635-663, August.
    11. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    12. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    13. IKEDA Yuichi & AOYAMA Hideaki & YOSHIKAWA Hiroshi, 2013. "Synchronization and the Coupled Oscillator Model in International Business Cycles," Discussion papers 13089, Research Institute of Economy, Trade and Industry (RIETI).
    14. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    15. Andrew Foerster & Andreas Hornstein & Mark Watson & Pierre-Daniel Sarte, 2019. "Sectoral and Aggregate Structural Change," 2019 Meeting Papers 532, Society for Economic Dynamics.
    16. Michael Olabisi, 2020. "Input–Output Linkages and Sectoral Volatility," Economica, London School of Economics and Political Science, vol. 87(347), pages 713-746, July.
    17. Farhi, Emmanuel & Baqaee, David Rezza, 2017. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," CEPR Discussion Papers 11845, C.E.P.R. Discussion Papers.
    18. Julius Bonart & Jean-Philippe Bouchaud & Augustin Landier & David Thesmar, 2014. "Instabilities in large economies: aggregate volatility without idiosyncratic shocks," Papers 1406.5022, arXiv.org.
    19. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    20. Bańbura, Marta & Giannone, Domenico & Lenza, Michele, 2015. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," International Journal of Forecasting, Elsevier, vol. 31(3), pages 739-756.
    21. Matteo Barigozzi & Christian Brownlees, 2013. "Nets: Network Estimation for Time Series," Working Papers 723, Barcelona School of Economics.
    22. MIZUNO Takayuki & SOUMA Wataru & WATANABE Tsutomu, 2015. "Buyer-Supplier Networks and Aggregate Volatility," Discussion papers 15056, Research Institute of Economy, Trade and Industry (RIETI).
    23. Pierre-Daniel Sarte & Fernando Parro & Esteban Rossi-Hansberg & Lorenzo Caliendo, 2014. "The Impact of Regional and Sectoral Productivity Changes on the U.S. Economy," 2014 Meeting Papers 426, Society for Economic Dynamics.
    24. Stella, Andrea, 2015. "Firm dynamics and the origins of aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 71-88.
    25. Ghassibe, Mishel, 2021. "Monetary policy and production networks: an empirical investigation," Journal of Monetary Economics, Elsevier, vol. 119(C), pages 21-39.
    26. Pesaran, H. & Yang, Cynthia Fan, 2016. "Econometric Analysis of Production Networks with Dominant Units," Cambridge Working Papers in Economics 1678, Faculty of Economics, University of Cambridge.
    27. Landier, Augustin & Sraer, David & Thesmar, David, 2017. "Banking integration and house price co-movement," Journal of Financial Economics, Elsevier, vol. 125(1), pages 1-25.
    28. Lydia Cox & Gernot Müller & Ernesto Pastén & Raphael Schoenle & Michael Weber, 2020. "Big G," NBER Working Papers 27034, National Bureau of Economic Research, Inc.
      • Lydia Cox & Gernot Muller & Ernesto Pasten & Raphael Schoenle & Michael Weber, 2020. "Big G," Working Papers Central Bank of Chile 878, Central Bank of Chile.
      • Lydia Cox & Gernot J. Müller & Ernesto Pasten & Raphael Schoenle & Michael Weber, 2020. "Big G," Working Papers 2020-36, Becker Friedman Institute for Research In Economics.
      • Lydia Cox & Gernot J. Müller & Ernesto Pasten & Raphael Schoenle, 2020. "Big G," Working Papers 20-15, Federal Reserve Bank of Cleveland.
      • Lydia Cox & Gernot Müller & Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2020. "Big G," CESifo Working Paper Series 8229, CESifo.
      • Schoenle, Raphael & Müller, Gernot & Pasten, Ernesto & Weber, Michael, 2020. "Big G," CEPR Discussion Papers 14625, C.E.P.R. Discussion Papers.
    29. Dimas Mateus Fazio & Thiago Christiano Silva & Janis Skrastins, 2020. "Economic Resilience: spillovers, courts, and vertical integration," Working Papers Series 531, Central Bank of Brazil, Research Department.
    30. Manoj Atolia & Ryan Chahrour, 2019. "Online Appendix to "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics"," Online Appendices 18-248, Review of Economic Dynamics.
    31. Simona E. Cociuba & James C. MacGee, 2018. "Demographics and Sectoral Reallocations: A Search Theory with Immobile Workers," University of Western Ontario, Departmental Research Report Series 20182, University of Western Ontario, Department of Economics.
    32. Alessandro Cantelmo & Giovanni Melina, 2020. "Sectoral Labor Mobility and Optimal Monetary Policy," Papers 2010.14668, arXiv.org, revised Nov 2020.
    33. Hyun, Junghwan, 2016. "Financial crises and the evolution of credit reallocation: Evidence from Korea," Economic Modelling, Elsevier, vol. 56(C), pages 25-34.
    34. Vasco Carvalho & Nico Voigtländer, 2015. "Input Diffusion and the Evolution of Production Networks," Working Papers 759, Barcelona School of Economics.
    35. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "Buyer-Supplier Networks and Aggregate Volatility," CARF F-Series CARF-F-353, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    36. Ando, Sakai, 2014. "Measuring US sectoral shocks in the world input–output network," Economics Letters, Elsevier, vol. 125(2), pages 204-207.
    37. Leonid Karasik & Danny Leung & Ben Tomlin, 2016. "Firm-Specific Shocks and Aggregate Fluctuations," Staff Working Papers 16-51, Bank of Canada.
    38. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2011. "The Network Origins of Aggregate Fluctuations," Working Papers 587, Barcelona School of Economics.
    39. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.
    40. Julian di Giovanni & Andrei A. Levchenko & Isabelle Mejean, 2020. "Foreign Shocks as Granular Fluctuations," Staff Reports 947, Federal Reserve Bank of New York.
    41. Pasten, Ernosto & Schoenle, Raphael & Weber, Michael, 2018. "Price rigidities and the granular origins of aggregate fluctuations," Bank of Finland Research Discussion Papers 3/2018, Bank of Finland.
    42. Gianni De Nicolò & Marcella Lucchetta, 2011. "Systemic Risks and the Macroeconomy," NBER Chapters, in: Quantifying Systemic Risk, pages 113-148, National Bureau of Economic Research, Inc.
    43. Christoph Gortz & John D Tsoukalas, 2012. "News and Financial Intermediation in Aggregate and Sectoral Fluctuations," Discussion Papers 12-10, Department of Economics, University of Birmingham.
    44. Cassou, Steven P. & Vázquez Pérez, Jesús, 2009. "Employment comovements at the sectoral level over the business cycle," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    45. Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.
    46. Nagayasu, Jun, 2015. "Global and country-specific factors in real effective exchange rates," MPRA Paper 64217, University Library of Munich, Germany.
    47. Andrew T. Foerster & Eric LaRose & Pierre-Daniel G. Sarte, 2018. "Idiosyncratic Sectoral Growth, Balanced Growth, and Sectoral Linkages," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 79-101.
    48. Christian vom Lehn & Thomas Winberry, 2019. "The Investment Network, Sectoral Comovement, and the Changing U.S. Business Cycle," NBER Working Papers 26507, National Bureau of Economic Research, Inc.
    49. Baqaee, David Rezza & Farhi, Emmanuel, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," CEPR Discussion Papers 13006, C.E.P.R. Discussion Papers.
    50. Yongsung Chang & Sunoong Hwang, 2011. "Asymmetric Phase Shifts in the U.S. Industrial Production Cycles," RCER Working Papers 564, University of Rochester - Center for Economic Research (RCER).
    51. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    52. Shutao Cao & Wei Dong, 2020. "Production Networks and the Propagation of Commodity Price Shocks," Staff Working Papers 20-44, Bank of Canada.
    53. Vasco M. Carvalho & Xavier Gabaix, 2010. "The Great Diversification and its Undoing," Working Papers 422, Barcelona School of Economics.
    54. Adina Ardelean & Miguel Leon-Ledesma & Laura Puzzello, 2017. "Industry Volatility and International Trade," Studies in Economics 1709, School of Economics, University of Kent.
    55. Saki Bigio & Jennifer La’O, 2016. "Distortions in Production Networks," NBER Working Papers 22212, National Bureau of Economic Research, Inc.
    56. Jorge Miranda-Pinto & Eric R. Young, 2018. "Flexibility and frictions in multisector models," CAMA Working Papers 2018-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    57. HAMANO Masashige & OKUBO Toshihiro, 2023. "Product Dynamics and Macroeconomic Shocks: Insights from a DSGE model and Japanese data," Discussion papers 23045, Research Institute of Economy, Trade and Industry (RIETI).
    58. Ritabrata Bose & Ashima Goyal, 2020. "Disaggregated Indian industrial cycles: A Spectral analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2020-033, Indira Gandhi Institute of Development Research, Mumbai, India.
    59. Anthonisen, Niels, 2016. "Microeconomic shocks and macroeconomic fluctuations in a dynamic network economy," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 233-254.
    60. Manoj Atolia & Ryan Chahrour, 2013. "Intersectoral Linkages, Diverse Information, and Aggregate Dynamics," Boston College Working Papers in Economics 832, Boston College Department of Economics, revised 12 May 2015.
    61. Ellen R. McGrattan, 2017. "Intangible Capital and Measured Productivity," Staff Report 545, Federal Reserve Bank of Minneapolis.
    62. Simon Freyaldenhoven, 2017. "A Generalized Factor Model with Local Factors," 2017 Papers pfr361, Job Market Papers.
    63. Mr. Francesco Grigoli & Emiliano Luttini & Mr. Damiano Sandri, 2021. "Idiosyncratic Shocks and Aggregate Fluctuations in an Emerging Market," IMF Working Papers 2021/289, International Monetary Fund.
    64. Soojin Jo & Lilia Karnizova & Abeer Reza, 2017. "Industry Effects of Oil Price Shocks: Re-Examination," Working Papers 1710, Federal Reserve Bank of Dallas.
    65. Raphael A. Auer & Andrei A. Levchenko & Philip Saure, 2017. "International Inflation Spillovers Through Input Linkages," Working Papers 655, Research Seminar in International Economics, University of Michigan.
    66. Ron Alquist & Olivier Coibion, 2014. "Commodity Price Co-Movement and Global Economic Activity," Staff Working Papers 14-32, Bank of Canada.
    67. Giovanni Gallipoli & Gianluigi Pelloni, 2013. "Macroeconomic Effects of Job Reallocations: A Survey," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 5(2), pages 127-176, December.
    68. Hubrich, Kirstin & Marcellino, Massimiliano & Beck, Günter, 2011. "On the importance of sectoral and regional shocks for price-setting," CEPR Discussion Papers 8357, C.E.P.R. Discussion Papers.
    69. Mitra, Aruni, 2021. "The Productivity Puzzle and the Decline of Unions," MPRA Paper 110102, University Library of Munich, Germany.
    70. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2013. "The Network Origins of Large Economic Downturns," NBER Working Papers 19230, National Bureau of Economic Research, Inc.
    71. Christian vom Lehn & Thomas Winberry, 2018. "The Changing Nature of Sectoral Comovement," 2018 Meeting Papers 277, Society for Economic Dynamics.
    72. Fornaro, Paolo & Luomaranta, Henri, 2018. "Aggregate fluctuations and the effect of large corporations: Evidence from Finnish monthly data," Economic Modelling, Elsevier, vol. 70(C), pages 245-258.
    73. Fabio Méndez & Jared D. Reber & Jeremy Schwartz, 2016. "A New Approach to the Study of Jobless Recoveries," Southern Economic Journal, John Wiley & Sons, vol. 83(2), pages 573-589, October.
    74. Saki Bigio, 2013. "Financial Frictions in Production Networks," 2013 Meeting Papers 121, Society for Economic Dynamics.
    75. Michele Boldrin, 2012. "Reconstructing the Great Recession," 2012 Meeting Papers 1038, Society for Economic Dynamics.
    76. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2022. "Trade networks and shock transmission capacity: a new taxonomy of Italian industries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 133-153, March.
    77. Yoshiyuki ARATA, 2020. "The Role of Granularity in the Variance and Tail Probability of Aggregate Output," Discussion papers 20027, Research Institute of Economy, Trade and Industry (RIETI).
    78. Jakub Mućk & Michał Rubaszek & Karol Szafranek, 2021. "A note on the heterogenous economic effects of COVID-19 on GDP via the sectoral structure," Bank i Kredyt, Narodowy Bank Polski, vol. 52(3), pages 253-266.
    79. Kumano, Yusuke & Muto, Ichiro & Nakano, Akihiro, 2014. "What explains the recent fluctuations in Japan’s output? A structural factor analysis of Japan’s industrial production," Journal of the Japanese and International Economies, Elsevier, vol. 34(C), pages 135-153.
    80. Zuzana Molnarova, 2020. "Industry evidence and the vanishing cyclicality of labor productivity," Vienna Economics Papers vie2001, University of Vienna, Department of Economics.
    81. Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016. "Is Industrial Production Still the Dominant Factor for the US Economy?," Swiss Finance Institute Research Paper Series 16-11, Swiss Finance Institute.
    82. Dongyeol Lee, 2019. "Transmission of Domestic and External Shocks through Input-Output Network: Evidence from Korean Industries," IMF Working Papers 2019/117, International Monetary Fund.
    83. Xavier Gabaix, 2011. "The Granular Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(3), pages 733-772, May.
    84. Luisito BERTINELLI & Olivier CARDI & Romain RESTOUT, 2021. "Labor Market Effects Of Technology Shocks Biased Toward The Traded Sector," Working Papers of BETA 2021-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    85. Julian di Giovanni & Galina Hale, 2020. "Stock market spillovers via the global production network: Transmission of U.S. monetary policy," Economics Working Papers 1747, Department of Economics and Business, Universitat Pompeu Fabra.
    86. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    87. Luis Pedauga & Francisco Sáez & Blanca L. Delgado-Márquez, 2022. "Macroeconomic lockdown and SMEs: the impact of the COVID-19 pandemic in Spain," Small Business Economics, Springer, vol. 58(2), pages 665-688, February.
    88. Friberg, Richard & Sanctuary, Mark, 2016. "The contribution of firm-level shocks to aggregate fluctuations: The case of Sweden," Economics Letters, Elsevier, vol. 147(C), pages 8-11.
    89. Amy Y. Guisinger & Michael T. Owyang & Daniel Soques, 2020. "Industrial Connectedness and Business Cycle Comovements," Working Papers 2020-052, Federal Reserve Bank of St. Louis, revised 04 Aug 2021.
    90. Lorenzo Burlon, 2015. "Ownership networks and aggregate volatility," 2015 Meeting Papers 1157, Society for Economic Dynamics.
    91. Jannati, Sima & Korniotis, George & Kumar, Alok, 2020. "Big fish in a small pond: Locally dominant firms and the business cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 219-240.
    92. Joya, Omar & Rougier, Eric, 2019. "Do (all) sectoral shocks lead to aggregate volatility? Empirics from a production network perspective," European Economic Review, Elsevier, vol. 113(C), pages 77-107.
    93. Ferrero, Andrea & Cesa-Bianchi, Ambrogio, 2021. "The Transmission of Keynesian Supply Shocks," CEPR Discussion Papers 16430, C.E.P.R. Discussion Papers.
    94. Kim, Daisoon, 2021. "Economies of scale and international business cycles," Journal of International Economics, Elsevier, vol. 131(C).
    95. Lukas Boeckelmann & Arthur Stalla-Bourdillon, 2021. "Structural Estimation of Time-Varying Spillovers:an Application to International Credit Risk Transmission," Working Papers hal-03338209, HAL.
    96. Eva F. Janssens & Robin L. Lumsdaine & Sebastiaan H.L.C.G. Vermeulen, 2022. "An Epidemiological Model of Economic Crisis Spread across Sectors in the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 885-919, June.
    97. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-10, July.
    98. Dungey, Mardi & Volkov, Vladimir, 2018. "R&D and wholesale trade are critical to the economy: Identifying dominant sectors from economic networks," Economics Letters, Elsevier, vol. 162(C), pages 81-85.
    99. Roberto Roson & Martina Sartori, 2014. "Why can sectoral shocks lead to sizable macroeconomic fluctuations? Assessing alternative theories by means of stochastic simulation with a general equilibrium model," Working Papers 2014:16, Department of Economics, University of Venice "Ca' Foscari".
    100. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2015. "The gradual evolution of buyer--seller networks and their role in aggregate fluctuations," Papers 1506.00236, arXiv.org, revised Aug 2016.
    101. Hsuan-Li Su, 2024. "Financial Frictions, Capital Misallocation, and Input-Output Linkages," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(2), pages 62-94, April.
    102. Kumar, Ashish & Chakrabarti, Anindya S. & Chakraborti, Anirban & Nandi, Tushar, 2021. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    103. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    104. Daron Acemoglu & Asuman E. Ozdaglar & Alireza Tahbaz Salehi, 2015. "Networks, Shocks, and Systemic Risk," Levine's Bibliography 786969000000001187, UCLA Department of Economics.
    105. Aikaterini Karadimitropoulou & Miguel León-Ledesma, 2013. "World, Country, and Sector Factors in International Business Cycles," University of East Anglia Applied and Financial Economics Working Paper Series 045, School of Economics, University of East Anglia, Norwich, UK..
    106. Pedro P Romero & Ricardo López & Carlos Jiménez, 2018. "Sectoral networks and macroeconomic tail risks in an emerging economy," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-17, January.
    107. Emmanuel Dhyne & Glenn Magerman & Ayumu Ken kikkawa, 2019. "Imperfect Competition in Firm-to-Firm Trade," Working Papers ECARES 2019-05, ULB -- Universite Libre de Bruxelles.
    108. Santiago Pinto & Pierre-Daniel G. Sarte & Sonya Ravindranath Waddell, 2015. "Monitoring Economic Activity in Real Time Using Diffusion Indices: Evidence from the Fifth District," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 275-301.
    109. Susanne M. Schennach, 2013. "Long memory via networking," CeMMAP working papers CWP13/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    110. Gustavo González, 2022. "Commodity price shocks, factor utilization, and productivity dynamics," Working Papers Central Bank of Chile 939, Central Bank of Chile.
    111. Yuichi Ikeda, 2020. "An Interacting Agent Model of Economic Crisis," Papers 2001.11843, arXiv.org.
    112. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
    113. Can Tian, 2014. "Forecast Shocks in Production Networks," 2014 Meeting Papers 87, Society for Economic Dynamics.
    114. Lee, Dongyeol, 2021. "Propagation of economic shocks through vertical and trade linkages in Korea: An empirical analysis," Japan and the World Economy, Elsevier, vol. 60(C).
    115. George Kapetanios & M. Hashem Pesaran & Simon Reese, 2018. "A Residual-based Threshold Method for Detection of Units that are Too Big to Fail in Large Factor Models," CESifo Working Paper Series 7401, CESifo.
    116. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous Firms and the Micro Origins of Aggregate Fluctuations," Working Papers ECARES ECARES 2016-35, ULB -- Universite Libre de Bruxelles.
    117. ONATSKI, Alexei & RUGE-MURCIA, Francisco J., 2010. "Factor Analysis of a Large DSGE Model," Cahiers de recherche 17-2010, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    118. Das, Sonali & Magistretti, Giacomo & Pugacheva, Evgenia & Wingender, Philippe, 2022. "Sectoral spillovers across space and time," Journal of Macroeconomics, Elsevier, vol. 72(C).
    119. Gunnella, Vanessa & Al-Haschimi, Alexander & Benkovskis, Konstantins & Chiacchio, Francesco & de Soyres, François & Di Lupidio, Benedetta & Fidora, Michael & Franco-Bedoya, Sebastian & Frohm, Erik & G, 2019. "The impact of global value chains on the euro area economy," Occasional Paper Series 221, European Central Bank.
    120. Meyer, Margaret & Strulovici, Bruno, 2013. "The Supermodular Stochastic Ordering," CEPR Discussion Papers 9486, C.E.P.R. Discussion Papers.
    121. Felipe Schwartzman, 2010. "Time to produce and emerging market crises," Working Paper 10-15, Federal Reserve Bank of Richmond.
    122. Aikaterini Karadimitropoulou, 2017. "Advanced economies and emerging markets: Dissecting the drivers of business cycle synchronization," University of East Anglia School of Economics Working Paper Series 2017-05, School of Economics, University of East Anglia, Norwich, UK..
    123. Jason Choi & Andrew T. Foerster, 2017. "The Changing Input-Output Network Structure of the U.S. Economy," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 23-49.
    124. Givens, David, 2013. "Defining governance matters: A factor analytic assessment of governance institutions," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1026-1053.
    125. Atalay, Enghin & Drautzburg, Thorsten & Wang, Zhenting, 2018. "Accounting for the sources of macroeconomic tail risks," Economics Letters, Elsevier, vol. 165(C), pages 65-69.
    126. Sean HOLLY & Ivan PETRELLA, 2010. "Factor demand linkages, technology shocks and the business cycle," Working Papers of Department of Economics, Leuven ces10.26, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    127. Stelios Giannoulakis & Plutarchos Sakellaris, 2023. "Financial crises, firm‐level shocks and large downturns: Evidence from Greece," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1549-1562, April.
    128. Margaret Meyer & Bruno Strulovici, 2013. "Beyond Correlation: Measuring Interdependence Through Complementarities," Economics Series Working Papers 655, University of Oxford, Department of Economics.
    129. Deng, Zhongqi & Jiang, Nan & Pang, Ruizhi, 2021. "Factor-analysis-based directional distance function: The case of New Zealand hospitals," Omega, Elsevier, vol. 98(C).
    130. Felix Brunner & Ruben Hipp, 2021. "Estimating Large-Dimensional Connectedness Tables: The Great Moderation Through the Lens of Sectoral Spillovers," Staff Working Papers 21-37, Bank of Canada.
    131. Ms. Nan Li & Mr. Vance Martin, 2018. "Real Sectoral Spillovers: A Dynamic Factor Analysis of the Great Recession," IMF Working Papers 2018/100, International Monetary Fund.
    132. Chen Yeh, 2017. "Are firm-level idiosyncratic shocks important for U.S. aggregate volatility?," Working Papers 17-23, Center for Economic Studies, U.S. Census Bureau.
    133. Damian Romero, 2022. "Domestic Linkages and the Transmission of Commodity Price Shocks," Working Papers Central Bank of Chile 936, Central Bank of Chile.
    134. Akhabbar, Amanar, 2014. "Circulation du capital et explication du changement économique chez Marschak, Frisch et Leontief [Capital Circulation and the Explanation of Economic Change by Marschak, Frisch and Leontief]," MPRA Paper 93327, University Library of Munich, Germany.
    135. Tase, Manjola, 2019. "Sectoral dynamics and business cycles," Economics Letters, Elsevier, vol. 175(C), pages 60-63.
    136. António Rua & Francisco Dias, 2020. "A non-hierarchical dynamic factor model for three-way data," Working Papers w202007, Banco de Portugal, Economics and Research Department.
    137. Simon Freyaldenhoven, 2021. "Factor Models with Local Factors—Determining the Number of Relevant Factors," Working Papers 21-15, Federal Reserve Bank of Philadelphia.
    138. Thomas A. Lubik & Pierre-Daniel G. Sarte & Felipe Schwartzman, 2014. "What Inventory Behavior Tells Us About How Business Cycles Have Changed," Working Paper 14-6, Federal Reserve Bank of Richmond.
    139. Sharon Traiberman, 2017. "Occupations and Import Competition," 2017 Meeting Papers 1237, Society for Economic Dynamics.
    140. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2016. "The gradual evolution of buyer-seller networks and their role in aggregate fluctuations," CARF F-Series CARF-F-389, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    141. Dacic, Nikola & Melolinna, Marko, 2022. "The size-centrality relationship in production networks," Bank of England working papers 994, Bank of England.
    142. Marco Pangallo, 2020. "Synchronization of endogenous business cycles," Papers 2002.06555, arXiv.org, revised Jun 2023.
    143. Kristina Barauskaite & Anh D.M. Nguyen, 2019. "Intersectoral Network-Based Channel of Aggregate TFP Shocks," Bank of Lithuania Working Paper Series 63, Bank of Lithuania.
    144. Bora Durdu & Molin Zhong, 2019. "Understanding Bank and Nonbank Credit Cycles: A Structural Exploration," Finance and Economics Discussion Series 2019-031, Board of Governors of the Federal Reserve System (U.S.).
    145. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "The Structure and Evolution of Buyer-Supplier Networks," CARF F-Series CARF-F-339, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    146. Dragomirescu-Gaina, Catalin & Elia, Leandro, 2021. "Technology shocks and sectoral labour market spill-overs," Economics Letters, Elsevier, vol. 201(C).
    147. Anthonisen, Niels, 2018. "Sticky prices in a dynamic network economy: A family of counterexamples," Journal of Mathematical Economics, Elsevier, vol. 74(C), pages 1-20.
    148. Robert C. Johnson, 2014. "Trade in Intermediate Inputs and Business Cycle Comovement," American Economic Journal: Macroeconomics, American Economic Association, vol. 6(4), pages 39-83, October.
    149. Hyun, Junghwan & Uddin, Azad, 2016. "Heterogeneous lending behaviors and gross loan flows in developing economies," Economic Modelling, Elsevier, vol. 55(C), pages 359-372.
    150. Jennifer La'O & Alireza Tahbaz‐Salehi, 2022. "Optimal Monetary Policy in Production Networks," Econometrica, Econometric Society, vol. 90(3), pages 1295-1336, May.
    151. Frankovic, Ivan, 2022. "The impact of carbon pricing in a multi-region production network model and an application to climate scenarios," Discussion Papers 07/2022, Deutsche Bundesbank.
    152. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.
    153. Baqaee, David Rezza, 2018. "Cascading Failures in Production Networks," CEPR Discussion Papers 12922, C.E.P.R. Discussion Papers.
    154. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
    155. Kapetanios, G. & Pesaran, M.H. & Reese, S., 2021. "Detection of units with pervasive effects in large panel data models," Journal of Econometrics, Elsevier, vol. 221(2), pages 510-541.
    156. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    157. ARATA Yoshiyuki, 2015. "Endogenous Business Cycles Caused by Nonconvex Costs and Interactions," Discussion papers 15085, Research Institute of Economy, Trade and Industry (RIETI).
    158. Jorge Miranda-Pinto & Gang Zhang, 2022. "Trade Credit and Sectoral Comovement during Recessions," Working Papers Central Bank of Chile 961, Central Bank of Chile.
    159. Benoit Julien & John Kennes & Ian King, "undated". "Quality Job Programs, Unemployment and the Job Quality Mix," MRG Discussion Paper Series 4721, School of Economics, University of Queensland, Australia.
    160. Eva F. Janssens & Robin L. Lumsdaine, 2024. "Sectoral slowdowns in the United Kingdom: Evidence from transmission probabilities and economic linkages," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 22-40, January.
    161. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    162. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2018. "Price Rigidity and the Origins af Aggregate Fluctuations," CESifo Working Paper Series 7190, CESifo.
    163. Ezra Oberfield, 2013. "Business Networks, Production Chains, and Productivity: A Theory of Input-Output Architecture," 2013 Meeting Papers 120, Society for Economic Dynamics.
    164. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    165. Nagayasu, Jun, 2013. "Co-movements in Real Effective Exchange Rates: Evidence from the Dynamic Hierarchical Factor Model," SIRE Discussion Papers 2013-66, Scottish Institute for Research in Economics (SIRE).
    166. Onatski, Alexei, 2015. "Asymptotic analysis of the squared estimation error in misspecified factor models," Journal of Econometrics, Elsevier, vol. 186(2), pages 388-406.
    167. W. Walker Hanlon, 2014. "Temporary Shocks and Persistent Effects in the Urban System: Evidence from British Cities after the U.S. Civil War," NBER Working Papers 20471, National Bureau of Economic Research, Inc.
    168. Hasan, Iftekhar & Manfredonia, Stefano, 2022. "Productivity, managers’ social connections and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 141(C).
    169. Frohm, Erik & Gunnella, Vanessa, 2017. "Sectoral interlinkages in global value chains: spillovers and network effects," Working Paper Series 2064, European Central Bank.
    170. Miranda-Pinto, Jorge, 2018. "A note on optimal sectoral policies in production networks," Economics Letters, Elsevier, vol. 172(C), pages 152-156.
    171. Mizuno, Takayuki & Souma, Wataru & Watanabe, Tsutomu, 2014. "The Structure and Evolution of Buyer-Supplier Networks," Working Paper Series 27, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    172. Shaowen Luo & Kwok Ping Tsang, 2020. "China And World Output Impact Of The Hubei Lockdown During The Coronavirus Outbreak," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 583-592, October.
    173. Takayuki Mizuno & Wataru Souma & Tsutomu Watanabe, 2014. "Buyer-Supplier Networks and Aggregate Volatility," UTokyo Price Project Working Paper Series 033, University of Tokyo, Graduate School of Economics.
    174. Tian, Can, 2021. "Input-output linkages in Pigouvian industrial fluctuations," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 1078-1095.
    175. Kristina Barauskaite & Anh D. M. Nguyen, 2019. "Direct and Network Effects of Idiosyncratic TFP Shocks," Bank of Lithuania Working Paper Series 65, Bank of Lithuania.
    176. Da Silva, Sergio & Matsushita, Raul & Giglio, Ricardo & Massena, Gunther, 2018. "Granularity of the top 1,000 Brazilian companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 68-73.
    177. Everett Grant & Julieta Yung, 2019. "Upstream, Downstream & Common Firm Shocks," Globalization Institute Working Papers 360, Federal Reserve Bank of Dallas.
    178. Fatica, Serena, 2017. "Business capital accumulation and the user cost: is there a heterogeneity bias?," Working Papers 2017-11, Joint Research Centre, European Commission.
    179. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    180. Leonidov, Andrey & Serebryannikova, Ekaterina, 2019. "Dynamical topology of highly aggregated input–output networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 234-252.
    181. Yoshiyuki ARATA & Daisuke MIYAKAWA, 2021. "The Size of Micro-originated Aggregate Fluctuations: An analysis of firm-level input-output linkages in Japan," Discussion papers 21066, Research Institute of Economy, Trade and Industry (RIETI).
    182. Pierre‐Daniel Sarte, 2014. "When Is Sticky Information More Information?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1345-1379, October.
    183. Proebsting, Christian, 2022. "Market segmentation and spending multipliers," Journal of Monetary Economics, Elsevier, vol. 128(C), pages 1-19.
    184. Maximiliano Dvorkin, 2013. "Sectoral Shocks, Reallocation and Unemployment in a Model of Competitive Labor Markets," 2013 Meeting Papers 1229, Society for Economic Dynamics.
    185. Ryan Herzog, 2013. "Using state level employment thresholds to explain Okun’s Law," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-26, December.
    186. Özmen, M. Utku & Tuğan, Mustafa, 2022. "Heterogeneity in sectoral price and quantity responses to shocks to monetary policy," Journal of Macroeconomics, Elsevier, vol. 73(C).
    187. Furlanetto, Francesco & Groshenny, Nicolas, 2016. "Reallocation shocks, persistence and nominal rigidities," Economics Letters, Elsevier, vol. 141(C), pages 151-155.
    188. Stefano Costa & Federico Sallusti & Claudio Vicarelli, 2021. "Trade networks and shock transmission within the Italian production system," LEM Papers Series 2021/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    189. Imbs, Jean & Pauwels, Laurent, 2019. "Fundamental Moments," CEPR Discussion Papers 13662, C.E.P.R. Discussion Papers.
    190. Fornaro, Paolo & Luomaranta, Henri, 2015. "Small Versus Large Firms Employment Patterns in Finland: a Comparison," MPRA Paper 66979, University Library of Munich, Germany.
    191. Bernard Herskovic & Bryan Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2020. "Firm Volatility in Granular Networks," Journal of Political Economy, University of Chicago Press, vol. 128(11), pages 4097-4162.
    192. Julieta Caunedo, 2014. "Aggregate Fluctuations and the Industry Structure of the US Economy," 2014 Meeting Papers 1194, Society for Economic Dynamics.
    193. Jorge Alvarado & Miroslava Quiroga & Leonardo Torre & Daniel Chiquiar, 2019. "Regional Input-Output Matrices and an Application to Analyze a Manufacturing Export Shock in Mexico. (Matrices insumo producto regionales y una aplicación para analizar impactos de las exportaciones m," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 227-258, November.
    194. Levent Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," Finance and Economics Discussion Series 2018-031, Board of Governors of the Federal Reserve System (U.S.).
    195. Jannati, Sima, 2020. "Geographic spillover of dominant firms’ shocks," Journal of Banking & Finance, Elsevier, vol. 118(C).
    196. Nagayasu, Jun, 2016. "Commonality and Heterogeneity in Real Effective Exchange Rates: Evidence from Advanced and Developing Countries," MPRA Paper 70078, University Library of Munich, Germany.
    197. Chiquiar Daniel & Alvarado Jorge & Quiroga Miroslava & Torre Cepeda Leonardo E., 2017. "Regional Input-Output Matrices, an Application to Manufacturing Exports in Mexico," Working Papers 2017-09, Banco de México.
    198. Roson, Roberto & Sartori, Martina, 2014. "Input-output linkages and the propagation of domestic productivity shocks: Assessing alternative theories with stochastic simulation," MPRA Paper 59884, University Library of Munich, Germany.
    199. Jeremy Majerovitz & Karthik Sastry, 2023. "How Much Should We Trust Regional-Exposure Designs?," Working Papers 2023-018, Federal Reserve Bank of St. Louis.
    200. Shaowen Luo, 2020. "Propagation of Financial Shocks in an Input-Output Economy with Trade and Financial Linkages of Firms," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 36, pages 246-269, April.
    201. Emilio Fernández Corugedo & Mrs. Esther Perez Ruiz, 2014. "The EU Services Directive: Gains from Further Liberalization," IMF Working Papers 2014/113, International Monetary Fund.
    202. Feng Dong & Yi Wen, 2019. "Time-Varying Networks and the Efficacy of Money Without Sticky Prices," 2019 Meeting Papers 1464, Society for Economic Dynamics.
    203. Xavier Gabaix, 2016. "Power Laws in Economics: An Introduction," Journal of Economic Perspectives, American Economic Association, vol. 30(1), pages 185-206, Winter.
    204. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," Papers 1505.02274, arXiv.org.
    205. Neil Mehrotra & Dmitriy Sergeyev, 2013. "Sectoral Shocks, the Beveridge Curve and Monetary Policy," 2013 Meeting Papers 919, Society for Economic Dynamics.
    206. Teresa Messner & Thomas Zörner, 2023. "Aggregate price pressures along the supply chain: a euro area perspective," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/22-Q1/, pages 21-32.
    207. Claudio Borio & Piti Disyatat & Dora Xia & Egon Zakrajšek, 2021. "Monetary policy, relative prices and inflation control: flexibility born out of success," BIS Quarterly Review, Bank for International Settlements, September.
    208. Everett Grant & Julieta Yung, 2021. "The double‐edged sword of global integration: Robustness, fragility, and contagion in the international firm network," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 760-783, September.
    209. Frank Smets & Joris Tielens & Jan Van Hove, 2018. "Pipeline Pressures and Sectoral Inflation Dynamics," Working Paper Research 351, National Bank of Belgium.
    210. Nadezhda Malysheva & Pierre-Daniel G. Sarte, 2009. "Heterogeneity in sectoral employment and the business cycle," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 95(Fall), pages 335-355.
    211. Mincheol Choi & Chang-Yang Lee, 2020. "Power-law distributions of corporate innovative output: evidence from U.S. patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 519-554, January.
    212. Roson, Roberto & Sartori, Martina, 2014. "Why can sectoral shocks lead to sizable macroeconomic fluctuations? Assessing alternative theories by means of stochastic simulation with a general equilibrium model," Conference papers 332434, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    213. Christian Brownlees & Geert Mesters, 2017. "Detecting Granular Time Series in Large Panels," Working Papers 991, Barcelona School of Economics.
    214. Marcella Lucchetta & Mr. Gianni De Nicolo, 2010. "Systemic Risks and the Macroeconomy," IMF Working Papers 2010/029, International Monetary Fund.
    215. Dr. Gregor Bäurle & Elizabeth Steiner, 2013. "How do individual sectors respond to macroeconomic shocks? A structural dynamic factor approach applied to Swiss data," Working Papers 2013-09, Swiss National Bank.
    216. Paflioti, Persa & Vitsounis, Thomas K. & Teye, Collins & Bell, Michael G.H. & Tsamourgelis, Ioannis, 2017. "Box dynamics: A sectoral approach to analyse containerized port throughput interdependencies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 396-413.
    217. Joshua Brault & Hashmat Khan, 2021. "Large Firms and the Cyclicality of US Labour Productivity," Carleton Economic Papers 21-02, Carleton University, Department of Economics, revised 27 May 2021.
    218. Levent Altinoglu, 2018. "The Origins of Aggregate Fluctuations in a Credit Network Economy," 2018 Meeting Papers 626, Society for Economic Dynamics.
    219. Eva Janssens & Robin Lumsdaine, 2021. "Sectoral slowdowns in the UK: Evidence from transmission probabilities and economic linkages," Tinbergen Institute Discussion Papers 21-027/III, Tinbergen Institute.
    220. Svetlana Popova, 2019. "Idiosyncratic shocks: estimation and the impact on aggregate fluctuations," Bank of Russia Working Paper Series wps46, Bank of Russia.
    221. Ashish Kumar & Anindya S. Chakrabarti & Anirban Chakraborti & Tushar Nandi, 2020. "Distress propagation on production networks: Coarse-graining and modularity of linkages," Papers 2004.14485, arXiv.org.
    222. Wang, Xiaoyu & Sun, Yanlin & Peng, Bin, 2023. "Industrial linkage and clustered regional business cycles in China," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 59-72.
    223. Shekhar Tomar, 2019. "Shock Diffusion: Does inter-sectoral network structure matter?," 2019 Meeting Papers 1026, Society for Economic Dynamics.
    224. Ryohei Hisano & Tsutomu Watanabe & Takayuki Mizuno & Takaaki Ohnishi & Didier Sornette, 2016. "The gradual evolution of buyer-seller networks and their role in aggregate fluctuations," UTokyo Price Project Working Paper Series 068, University of Tokyo, Graduate School of Economics.
    225. Chakrabarti, Anindya S. & Dutta, Aparna, 2015. "Economic incentives versus institutional frictions: migration dynamics within Europe," IIMA Working Papers WP2015-08-06, Indian Institute of Management Ahmedabad, Research and Publication Department.
    226. Yener Altunbas & Xiaoxi Qu & John Thornton, 2024. "Modelling Monetary and Fiscal Policy to Achieve Climate Goals," Working Papers 310, Red Nacional de Investigadores en Economía (RedNIE).
    227. Iftekhar Hasan & Stefano Manfredonia, 2021. "Productivity, managers' social connections and the Great Recession," CEIS Research Paper 507, Tor Vergata University, CEIS, revised 10 Mar 2021.
    228. Jorge Miranda Pinto, 2021. "Production Network Structure, Service Share, and Aggregate Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 146-173, January.
    229. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
    230. Yoshiyuki Arata, 2017. "Endogenous business cycles caused by nonconvex costs and interactions," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 367-391, July.
    231. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    232. Pierre-Daniel G. Sarte, 2010. "Learning about informational rigidities from sectoral data and diffusion indices," Working Paper 10-09, Federal Reserve Bank of Richmond.
    233. Nadezhda Malysheva & Pierre-Daniel G. Sarte, 2011. "Sectoral disturbances and aggregate economic activity," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 97(2Q), pages 153-173.
    234. Jiang, Zhengyang & Richmond, Robert J., 2023. "Origins of international factor structures," Journal of Financial Economics, Elsevier, vol. 147(1), pages 1-26.
    235. Miguel Fuentes D & Jorge Fornero & Hernán Rubio, 2018. "PIB minero y no minero," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(3), pages 094-109, December.
    236. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," UTokyo Price Project Working Paper Series 053, University of Tokyo, Graduate School of Economics.
    237. Giovanni Gallipoli & Gianluigi Pelloni, 2008. "Aggregate Shocks vs Reallocation Shocks: an Appraisal of the Applied Literature," Working Paper series 27_08, Rimini Centre for Economic Analysis.
    238. Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
    239. Takayuki Mizuno & Takaaki Ohnishi & Tsutomu Watanabe, 2015. "Structure of global buyer-supplier networks and its implications for conflict minerals regulations," CARF F-Series CARF-F-362, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    240. Buchen, Teresa, 2014. "News Media, Common Information, and Sectoral Comovement," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100391, Verein für Socialpolitik / German Economic Association.
    241. Miranda-Pinto, Jorge & Young, Eric R., 2019. "Comparing dynamic multisector models," Economics Letters, Elsevier, vol. 181(C), pages 28-32.
    242. Manjola Tase, 2016. "Sectoral Dynamics and Business Cycles," Finance and Economics Discussion Series 2016-066, Board of Governors of the Federal Reserve System (U.S.).
    243. Marcella Lucchetta & Mr. Gianni De Nicolo, 2012. "Systemic Real and Financial Risks: Measurement, Forecasting, and Stress Testing," IMF Working Papers 2012/058, International Monetary Fund.
    244. Xavier Gabaix, 2016. "Comment," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 336-345.
    245. Semanur Soyyiğit & Yasemin Asu Çırpıcı, 2017. "An Input-Output Network Structure Analysis Of Selected Countries," Yildiz Social Science Review, Yildiz Technical University, vol. 3(2), pages 65-88.
    246. Chen Yeh, 2016. "Are firm-level idiosyncratic shocks important for U.S. aggregate volatility?," Working Papers 16-47, Center for Economic Studies, U.S. Census Bureau.
    247. Santiago Pinto & Pierre-Daniel Sarte & Robert Sharp, 2020. "The Information Content and Statistical Properties of Diffusion Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 47-99, September.

Articles

  1. 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.
  2. Jason Choi & Taeyoung Doh & Andrew Foerster & Zinnia Martinez, 2022. "Monetary Policy Stance Is Tighter than Federal Funds Rate," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(30), pages 1-5, November.

    Cited by:

    1. Simon H. Kwan & Louis Liu, 2022. "Financial Market Conditions during Monetary Tightening," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2023(03), pages 1-6, February.
    2. Mary C. Daly, 2023. "Forward-Looking Policy in a Real-Time World," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2023(08), pages 1-8, March.
    3. Andrew Foerster, 2023. "The Evolution of Disagreement in the Dot Plot," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2023(21), pages 1-6, August.
    4. Camilla Lupiani, 2024. "Taylor Rule and Shadow Rates: theory and empirical analysis," BAFFI CAREFIN Working Papers 24218, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    5. Taeyoung Doh & Andrew Foerster, 2022. "Have Lags in Monetary Policy Transmission Shortened?," Economic Bulletin, Federal Reserve Bank of Kansas City, issue December , pages 1-3, December.

  3. Taeyoung Doh & Andrew Foerster, 2022. "Have Lags in Monetary Policy Transmission Shortened?," Economic Bulletin, Federal Reserve Bank of Kansas City, issue December , pages 1-3, December.

    Cited by:

    1. Bochmann, Paul & Dieckelmann, Daniel & Fahr, Stephan & Ruzicka, Josef, 2023. "Financial stability considerations in the conduct of monetary policy," Working Paper Series 2870, European Central Bank.

  4. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2022. "Aggregate Implications of Changing Sectoral Trends," Journal of Political Economy, University of Chicago Press, vol. 130(12), pages 3286-3333.
    See citations under working paper version above.
  5. Andrew T. Foerster & José Mustre‐Del‐Río, 2022. "Search with Wage Posting under Sticky Prices," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(2-3), pages 599-626, March.
    See citations under working paper version above.
  6. Jason Choi & Andrew Foerster, 2021. "Optimal Monetary Policy Regime Switches," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 42, pages 333-346, October.
    See citations under working paper version above.
  7. Sarah Albert & Andrew T. Foerster & Pierre-Daniel G. Sarte, 2021. "Employment Effects of COVID-19 across States, Sectors," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2021(32), pages 1-05, November.

    Cited by:

    1. Johannes Matschke & Sai Sattiraju, 2021. "Labor Markets Are Tight, but Conditions Vary across States," Economic Bulletin, Federal Reserve Bank of Kansas City, issue Dec 22, 2, pages 1-4, December.

  8. Andrew T. Foerster & Andreas Hornstein & Pierre-Daniel G. Sarte & Mark W. Watson, 2019. "How Have Changing Sectoral Trends Affected GDP Growth?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Haishi Li, 2023. "Multinational Production and Global Shock Propagation during the Great Recession," CESifo Working Paper Series 10349, CESifo.

  9. Troy Davig & Andrew Foerster, 2019. "Uncertainty and Fiscal Cliffs," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1857-1887, October.
    See citations under working paper version above.
  10. Andrew T. Foerster & Eric LaRose & Pierre-Daniel G. Sarte, 2018. "Idiosyncratic Sectoral Growth, Balanced Growth, and Sectoral Linkages," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 79-101.

    Cited by:

    1. Dong, Feng & Wen, Yi, 2019. "Long and Plosser meet Bewley and Lucas," Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.

  11. Jason Choi & Andrew T. Foerster, 2017. "The Changing Input-Output Network Structure of the U.S. Economy," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 23-49.

    Cited by:

    1. Andrew T. Foerster & Eric LaRose & Pierre-Daniel G. Sarte, 2018. "Idiosyncratic Sectoral Growth, Balanced Growth, and Sectoral Linkages," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 79-101.
    2. Leonidov, Andrey & Serebryannikova, Ekaterina, 2019. "Dynamical topology of highly aggregated input–output networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 234-252.
    3. Frank Smets & Joris Tielens & Jan Van Hove, 2018. "Pipeline Pressures and Sectoral Inflation Dynamics," Working Paper Research 351, National Bank of Belgium.

  12. Andrew Foerster & Juan F. Rubio‐Ramírez & Daniel F. Waggoner & Tao Zha, 2016. "Perturbation methods for Markov‐switching dynamic stochastic general equilibrium models," Quantitative Economics, Econometric Society, vol. 7(2), pages 637-669, July.
    See citations under working paper version above.
  13. Jason Choi & Andrew T. Foerster, 2016. "Consumption Growth Regimes and the Post-Financial Crisis Recovery," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 25-48.

    Cited by:

    1. Constantin ANGHELACHE & Ștefan Virgil IACOB & Dana Luiza GRIGORESCU, 2020. "The analysis of the quarterly evolution of the gross domestic product in 2019," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(622), S), pages 171-182, Spring.
    2. Alexandru MANOLE & Mariana BUNEA & Ana CARP & Diana-Valentina SOARE & Maria MIREA, 2017. "Model analysis of the correlation between final consumption and its components," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(2), pages 105-113, February.
    3. Madalina-Gabriela ANGHEL & Ana CARP & Marian SFETCU & Stefan Gabriel DUMBRAVA, 2017. "Econometric Model For Analyzing The Influence Of Factors On Final Consumption," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(10), pages 123-131, October.
    4. Jason Brown, 2017. "Identifying State-Level Recessions," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 85-108.
    5. Constantin ANGHELACHE & Madalina-Gabriela ANGHEL & Radu STOICA, 2017. "Quarterly Analysis Of Gross Domestic Product Evolution - Significance Of Growth Rate," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 65(6), pages 16-28, June.

  14. Andrew T. Foerster, 2016. "Monetary Policy Regime Switches And Macroeconomic Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 211-230, February.
    See citations under working paper version above.
  15. Bjørn Eraker & Ching Wai (Jeremy) Chiu & Andrew T. Foerster & Tae Bong Kim & Hernán D. Seoane, 2015. "Bayesian Mixed Frequency VARs," Journal of Financial Econometrics, Oxford University Press, vol. 13(3), pages 698-721.
    See citations under working paper version above.
  16. Foerster, Andrew T., 2015. "Financial crises, unconventional monetary policy exit strategies, and agents׳ expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 191-207.
    See citations under working paper version above.
  17. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty on employment," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-2, September.

    Cited by:

    1. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial regimes and uncertainty shocks," BCAM Working Papers 1404, Birkbeck Centre for Applied Macroeconomics.
    2. Borozan, Dj, 2022. "Asymmetric effects of policy uncertainty on renewable energy consumption in G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 412-420.
    3. Al-Thaqeb, Saud Asaad & Algharabali, Barrak Ghanim, 2019. "Economic policy uncertainty: A literature review," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    4. Long, Shaobo & Pei, Hongxia & Tian, Hao & Li, Fangfang, 2021. "Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China’s investment," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 129-144.
    5. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2016. "The Impact of US Uncertainty on the Euro Area in Good and Bad Times: Evidence from a Quantile Structural Vector Autoregressive Model," Working Papers 201681, University of Pretoria, Department of Economics.
    6. Christina Anderl & Guglielmo Maria Caporale, 2023. "The Asymmetric Impact of Economic Policy and Oil Price Uncertainty on Inflation: Evidence from Developed and Emerging Economies," CESifo Working Paper Series 10276, CESifo.
    7. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    8. Han, Yingwei & Li, Jie, 2023. "The impact of global economic policy uncertainty on portfolio optimization: A Black–Litterman approach," International Review of Financial Analysis, Elsevier, vol. 86(C).
    9. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    10. Tian, Hao & Long, Shaobo & Li, Zixuan, 2022. "Asymmetric effects of climate policy uncertainty, infectious diseases-related uncertainty, crude oil volatility, and geopolitical risks on green bond prices," Finance Research Letters, Elsevier, vol. 48(C).
    11. Mohsen Bahmani‐Oskooee & Ridha Nouira & Sami Saafi, 2023. "Whose policy uncertainty affects commodity trade between Australia and the United States?," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 101-123, March.
    12. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    13. Shams, Syed & Gunaskerage, Abeyratna & Velayutham, Eswaran, 2022. "Economic policy uncertainty and acquisition performance: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 286-308.
    14. Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016. "Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions," Mo.Fi.R. Working Papers 134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    15. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    16. Batabyal, Sourav & Killins, Robert, 2021. "Economic policy uncertainty and stock market returns: Evidence from Canada," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    17. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    18. Vindel, José M. & Trincado, Estrella, 2021. "Viability assessment of algal wastewater treatment projects under outdoor conditions based on algal productivity and nutrient removal rate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    19. Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Mösle, Saskia & Potjagailo, Galina, 2019. "Deutsche Konjunktur im Sommer 2019 - Deutsche Konjunktur im Sinkflug [German Economy Summer 2019 - German economy falters]," Kieler Konjunkturberichte 56, Kiel Institute for the World Economy (IfW Kiel).
    20. Ademmer, Martin & Beckmann, Joscha & Jannsen, Nils, 2019. "Auswirkungen globaler wirtschaftspolitischer Unsicherheit auf die deutsche Konjunktur," Kiel Insight 2019.8, Kiel Institute for the World Economy (IfW Kiel).

  18. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-26.

    Cited by:

    1. Mohsen Bahmani-Oskooee & Majid Maki-Nayeri, 2019. "Asymmetric Effects of Policy Uncertainty on Domestic Investment in G7 Countries," Open Economies Review, Springer, vol. 30(4), pages 675-693, September.
    2. Ngene, Geoffrey M. & Tah, Kenneth A., 2023. "How are policy uncertainty, real economy, and financial sector connected?," Economic Modelling, Elsevier, vol. 123(C).
    3. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial regimes and uncertainty shocks," BCAM Working Papers 1404, Birkbeck Centre for Applied Macroeconomics.
    4. Borozan, Dj, 2022. "Asymmetric effects of policy uncertainty on renewable energy consumption in G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 412-420.
    5. Al-Thaqeb, Saud Asaad & Algharabali, Barrak Ghanim, 2019. "Economic policy uncertainty: A literature review," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    6. Berner, Julian & Buchholz, Manuel & Tonzer, Lena, 2020. "Asymmetric investment responses to firm-specific forecast errors," IWH Discussion Papers 5/2020, Halle Institute for Economic Research (IWH).
    7. 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.
    8. 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.).
    9. 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.
    10. Long, Shaobo & Pei, Hongxia & Tian, Hao & Li, Fangfang, 2021. "Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China’s investment," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 129-144.
    11. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2016. "The Impact of US Uncertainty on the Euro Area in Good and Bad Times: Evidence from a Quantile Structural Vector Autoregressive Model," Working Papers 201681, University of Pretoria, Department of Economics.
    12. Christina Anderl & Guglielmo Maria Caporale, 2023. "The Asymmetric Impact of Economic Policy and Oil Price Uncertainty on Inflation: Evidence from Developed and Emerging Economies," CESifo Working Paper Series 10276, CESifo.
    13. Reif Magnus, 2021. "Macroeconomic uncertainty and forecasting macroeconomic aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-20, April.
    14. Pierdzioch Christian & Gupta Rangan, 2020. "Uncertainty and Forecasts of U.S. Recessions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-20, September.
    15. Han, Yingwei & Li, Jie, 2023. "The impact of global economic policy uncertainty on portfolio optimization: A Black–Litterman approach," International Review of Financial Analysis, Elsevier, vol. 86(C).
    16. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    17. Tian, Hao & Long, Shaobo & Li, Zixuan, 2022. "Asymmetric effects of climate policy uncertainty, infectious diseases-related uncertainty, crude oil volatility, and geopolitical risks on green bond prices," Finance Research Letters, Elsevier, vol. 48(C).
    18. Mohsen Bahmani‐Oskooee & Ridha Nouira & Sami Saafi, 2023. "Whose policy uncertainty affects commodity trade between Australia and the United States?," Australian Economic Papers, Wiley Blackwell, vol. 62(1), pages 101-123, March.
    19. Manuel Buchholz & Lena Tonzer & Julian Berner, 2022. "Firm‐specific forecast errors and asymmetric investment propensity," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 764-793, April.
    20. Steffen Henzel & Malte Rengel, 2013. "Dimensions of macroeconomic uncertainty: A common factor analysis," ifo Working Paper Series 167, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    21. Cirera,Xavier & Vargas Da Cruz,Marcio Jose & Grover,Arti Goswami & Iacovone,Leonardo & Medvedev,Denis & Pereira Lopez,Mariana De La Paz & Reyes,Santiago, 2021. "Firm Recovery during COVID-19 : Six Stylized Facts," Policy Research Working Paper Series 9810, The World Bank.
    22. 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.
    23. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    24. Shams, Syed & Gunaskerage, Abeyratna & Velayutham, Eswaran, 2022. "Economic policy uncertainty and acquisition performance: Australian evidence," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 286-308.
    25. Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016. "Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions," Mo.Fi.R. Working Papers 134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    26. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    27. Batabyal, Sourav & Killins, Robert, 2021. "Economic policy uncertainty and stock market returns: Evidence from Canada," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    28. Halil Altintas & Kassouri Yacouba, 2018. "Asymmetric Responses of Stock Prices to Money Supply and Oil Prices Shocks in Turkey: New Evidence from a Nonlinear ARDL Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 8(4), pages 45-53.
    29. 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.
    30. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    31. Vindel, José M. & Trincado, Estrella, 2021. "Viability assessment of algal wastewater treatment projects under outdoor conditions based on algal productivity and nutrient removal rate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    32. Ademmer, Martin & Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Jannsen, Nils & Kooths, Stefan & Mösle, Saskia & Potjagailo, Galina, 2019. "Deutsche Konjunktur im Sommer 2019 - Deutsche Konjunktur im Sinkflug [German Economy Summer 2019 - German economy falters]," Kieler Konjunkturberichte 56, Kiel Institute for the World Economy (IfW Kiel).
    33. Ademmer, Martin & Beckmann, Joscha & Jannsen, Nils, 2019. "Auswirkungen globaler wirtschaftspolitischer Unsicherheit auf die deutsche Konjunktur," Kiel Insight 2019.8, Kiel Institute for the World Economy (IfW Kiel).

  19. Guangye Cao & Andrew Foerster, 2013. "Expectations of large-scale asset purchases," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-29.

    Cited by:

    1. Georgios Chortareas & Menelaos Karanasos & Emmanouil Noikokyris, 2019. "Quantitative Easing And The Uk Stock Market: Does The Bank Of England Information Dissemination Strategy Matter?," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 569-583, January.
    2. B De Rezende, Rafael & Ristiniemi, Annukka, 2020. "A shadow rate without a lower bound constraint," Bank of England working papers 864, Bank of England.
    3. Henning Hesse & Boris Hofmann & James Weber, 2017. "The macroeconomic effects of asset purchases revisited," BIS Working Papers 680, Bank for International Settlements.
    4. Nada Mora, 2014. "The weakened transmission of monetary policy to consumer loan rates," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 1-26.
    5. Brandt, Lennart & Saint Guilhem, Arthur & Schröder, Maximilian & Van Robays, Ine, 2021. "What drives euro area financial market developments? The role of US spillovers and global risk," Working Paper Series 2560, European Central Bank.
    6. Michael S. Miller & Jin W. Choi, 2014. "The Effectiveness of the Federal Funds Rate as the U.S. Monetary Policy Tool Before, During and After the Great Recession," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 37-58.
    7. Lhuissier Stéphane & Nguyen Benoît, 2021. "The Dynamic Effects of the ECB’s Asset Purchases: a Survey-Based Identification," Working papers 806, Banque de France.

  20. Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2011. "Sectoral versus Aggregate Shocks: A Structural Factor Analysis of Industrial Production," Journal of Political Economy, University of Chicago Press, vol. 119(1), pages 1-38.
    See citations under working paper version above.
  21. Andrew T. Foerster & Leonardo Martinez, 2006. "Are we working too hard or should we be working harder? A simple model of career concerns," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 92(Win), pages 79-91.

    Cited by:

    1. Frédéric Loss & Antoine Renucci, 2021. "Promotions, managerial project choice, and implementation effort," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(4), pages 799-819, November.
    2. Leonardo Martinez, 2009. "Why could political incentives be different during election times?," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 95(Sum), pages 315-334.

Software components

    Sorry, no citations of software components recorded.

Chapters

    Sorry, no citations of chapters recorded.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.