Industrial Connectedness and Business Cycle Comovements
Author
Abstract
Suggested Citation
DOI: 10.20955/wp.2020.052
Note: Publisher DOI: https://doi.org/10.1016/j.ecosta.2021.08.004
Download full text from publisher
Other versions of this item:
- Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
References listed on IDEAS
- Li, Nan & Martin, Vance L., 2019.
"Real sectoral spillovers: A dynamic factor analysis of the great recession,"
Journal of Monetary Economics, Elsevier, vol. 107(C), pages 77-95.
- 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.
- Sean Holly & Ivan Petrella, 2012.
"Factor Demand Linkages, Technology Shocks, and the Business Cycle,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
- Holly, Sean & Petrella, Ivan, 2009. "Factor Demand Linkages, Technology Shocks and the Business Cycle," MPRA Paper 18120, University Library of Munich, Germany.
- Holly, S. & Petrella, I., 2010. "Factor Demand Linkages, Technology Shocks and the Business Cycle," Cambridge Working Papers in Economics 1001, Faculty of Economics, University of Cambridge.
- 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.
- 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.
- Andrew T. Foerster & Pierre-Daniel G. Sarte & Mark W. Watson, 2008. "Sectoral vs. Aggregate Shocks: A Structural Factor Analysis of Industrial Production," NBER Working Papers 14389, National Bureau of Economic Research, Inc.
- 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.
- Pierre-Daniel Sarte & Mark Watson & Andrew Foerster, 2008. "Aggregate Shocks and the Variability of Industrial Production," 2008 Meeting Papers 224, Society for Economic Dynamics.
- Caunedo, Julieta, 2020.
"Aggregate fluctuations and the industry structure of the US economy,"
European Economic Review, Elsevier, vol. 129(C).
- Julieta Caunedo, 2014. "Aggregate Fluctuations and the Industry Structure of the US Economy," 2014 Meeting Papers 1194, Society for Economic Dynamics.
- Nir Jaimovich & Henry E. Siu, 2020.
"Job Polarization and Jobless Recoveries,"
The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 129-147, March.
- Nir Jaimovich & Henry E. Siu, 2012. "Job Polarization and Jobless Recoveries," NBER Working Papers 18334, National Bureau of Economic Research, Inc.
- Enghin Atalay, 2017.
"How Important Are Sectoral Shocks?,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 254-280, October.
- Enghin Atalay, 2014. "How Important Are Sectoral Shocks," Working Papers 14-31, Center for Economic Studies, U.S. Census Bureau.
- Diego A. Comin & Thomas Philippon, 2006.
"The Rise in Firm-Level Volatility: Causes and Consequences,"
NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 167-228,
National Bureau of Economic Research, Inc.
- Diego Comin & Thomas Philippon, 2005. "The Rise in Firm-Level Volatility: Causes and Consequences," NBER Working Papers 11388, National Bureau of Economic Research, Inc.
- Kim, Chang-Jin & Piger, Jeremy, 2002.
"Common stochastic trends, common cycles, and asymmetry in economic fluctuations,"
Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1189-1211, September.
- Chang-Jin Kim & Jeremy Piger, 2000. "Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations," Discussion Papers in Economics at the University of Washington 0021, Department of Economics at the University of Washington.
- Chang-Jin Kim & Jeremy Piger, 2000. "Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations," Econometric Society World Congress 2000 Contributed Papers 1465, Econometric Society.
- Chang-Jin Kim & Jeremy Piger, 2000. "Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations," Working Papers 0021, University of Washington, Department of Economics.
- Chang-Jin Kim & Jeremy M. Piger, 2001. "Common stochastic trends, common cycles, and asymmetry in economic fluctuations," Working Papers 2001-014, Federal Reserve Bank of St. Louis.
- Chang-Jin Kim & Jeremy M. Piger, 2000. "Common stochastic trends, common cycles, and asymmetry in economic fluctuations," International Finance Discussion Papers 681, Board of Governors of the Federal Reserve System (U.S.).
- Yongsung Chang & Sunoong Hwang, 2015.
"Asymmetric Phase Shifts in U.S. Industrial Production Cycles,"
The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
- Sunoong Hwang & Yongsung Chang, 2011. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," 2011 Meeting Papers 31, Society for Economic Dynamics.
- 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).
- Vasco M. Carvalho, 2014.
"From Micro to Macro via Production Networks,"
Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
- Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Cambridge Working Papers in Economics 1467, Faculty of Economics, University of Cambridge.
- Vasco Carvalho, 2014. "From micro to macro via production networks," Economics Working Papers 1449, Department of Economics and Business, Universitat Pompeu Fabra.
- Andrew Harvey & Siem Jan Koopman, 2000.
"Signal extraction and the formulation of unobserved components models,"
Econometrics Journal, Royal Economic Society, vol. 3(1), pages 84-107.
- Harvey, A.C. & Koopman, S.J.M., 1999. "Signal Extraction and the Formulation of Unobserved Components Models," Discussion Paper 1999-44, Tilburg University, Center for Economic Research.
- Harvey, A.C. & Koopman, S.J.M., 1999. "Signal Extraction and the Formulation of Unobserved Components Models," Other publications TiSEM 44688527-92c9-4c46-ac53-f, Tilburg University, School of Economics and Management.
- Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
- Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012.
"The Network Origins of Aggregate Fluctuations,"
Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
- Daron Acemoglu & Vasco Carvalho & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2011. "The network origins of aggregate fluctuations," Economics Working Papers 1291, Department of Economics and Business, Universitat Pompeu Fabra.
- Daron Acemoglu & Vasco M. Carvalho & Asuman E. Ozdaglar & Alireza Tahbaz-Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Levine's Working Paper Archive 786969000000000359, David K. Levine.
- Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2011. "The Network Origins of Aggregate Fluctuations," Working Papers 587, Barcelona School of Economics.
- Stéphane Dupraz & Emi Nakamura & Jón Steinsson, 2019.
"A Plucking Model of Business Cycles,"
NBER Working Papers
26351, National Bureau of Economic Research, Inc.
- Stéphane Dupraz & Emi Nakamura & Jón Steinsson, 2020. "A Plucking Model of Business Cycles," Working papers 748, Banque de France.
- Canova, Fabio, 1998.
"Detrending and business cycle facts,"
Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
- Canova, Fabio, 1993. "Detrending and Business Cycle Facts," CEPR Discussion Papers 782, C.E.P.R. Discussion Papers.
- Jarociński, Marek, 2015.
"A note on implementing the Durbin and Koopman simulation smoother,"
Computational Statistics & Data Analysis, Elsevier, vol. 91(C), pages 1-3.
- Jarocinski, Marek, 2014. "A note on implementing the Durbin and Koopman simulation smoother," MPRA Paper 59466, University Library of Munich, Germany.
- Jarociński, Marek, 2015. "A note on implementing the Durbin and Koopman simulation smoother," Working Paper Series 1867, European Central Bank.
- Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
- Durbin, James & Koopman, Siem Jan, 2012.
"Time Series Analysis by State Space Methods,"
OUP Catalogue,
Oxford University Press,
edition 2, number 9780199641178.
- Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543.
- Tom Doan, "undated". "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
- Owyang, Michael T. & Piger, Jeremy M. & Wall, Howard J. & Wheeler, Christopher H., 2008.
"The economic performance of cities: A Markov-switching approach,"
Journal of Urban Economics, Elsevier, vol. 64(3), pages 538-550, November.
- Michael T. Owyang & Jeremy M. Piger & Howard J. Wall & Christopher H. Wheeler, 2007. "The economic performance of cities: a Markov-switching approach," Working Papers 2006-056, Federal Reserve Bank of St. Louis.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. Van Dijk, 2016.
"Interconnections Between Eurozone and us Booms and Busts Using a Bayesian Panel Markov‐Switching VAR Model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1352-1370, November.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Interconnections between Eurozone and US Booms and Busts using a Bayesian Panel Markov-Switching VAR Mode," Tinbergen Institute Discussion Papers 15-111/III, Tinbergen Institute.
- Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
- Camacho, Maximo & Leiva-Leon, Danilo, 2019.
"The Propagation Of Industrial Business Cycles,"
Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
- Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.
- Maximo Camacho & Danilo Leiva-Leon, 2017. "The propagation of industrial business cycles," Working Papers 1728, Banco de España.
- Laura E. Jackson & M. Ayhan Kose & Christopher Otrok & Michael T. Owyang, 2016.
"Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement,"
Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 361-400,
Emerald Group Publishing Limited.
- Laura E. Jackson & M. Ayhan Kose & Christopher Otrok & Michael T. Owyang, 2015. "Specification and Estimation of Bayesian Dynamic Factor Models: A Monte Carlo Analysis with an Application to Global House Price Comovement," Working Papers 2015-31, Federal Reserve Bank of St. Louis.
- Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
- Michael Weber & Ali Ozdagli, 2016.
"Monetary Policy Through Production Networks: Evidence from the Stock Market,"
2016 Meeting Papers
148, Society for Economic Dynamics.
- Ali Ozdagli & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," NBER Working Papers 23424, National Bureau of Economic Research, Inc.
- Ali Ozdagli & Michael Weber & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," CESifo Working Paper Series 6486, CESifo.
- Ali Ozdagli & Michael Weber, 2017. "Monetary policy through production networks: evidence from the stock market," Working Papers 17-15, Federal Reserve Bank of Boston.
- Murphy, Kevin M & Shleifer, Andrei & Vishny, Robert W, 1989.
"Industrialization and the Big Push,"
Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1003-1026, October.
- Kevin M. Murphy & Andrei Shleifer & Robert W. Vishny, 1988. "Industrialization and the Big Push," NBER Working Papers 2708, National Bureau of Economic Research, Inc.
- Murphy, Kevin M. & Shleifer, Andrei & Vishny, Robert W., 1989. "Industrialization and the Big Push," Scholarly Articles 3606235, Harvard University Department of Economics.
- Liu, Hefei & Song, Xinyuan, 2021. "Bayesian analysis of hidden Markov structural equation models with an unknown number of hidden states," Econometrics and Statistics, Elsevier, vol. 18(C), pages 29-43.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Michael Weber & Ali Ozdagli, 2016.
"Monetary Policy Through Production Networks: Evidence from the Stock Market,"
2016 Meeting Papers
148, Society for Economic Dynamics.
- Ali Ozdagli & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," Working Papers 2017-07, Becker Friedman Institute for Research In Economics.
- Ali Ozdagli & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," NBER Working Papers 23424, National Bureau of Economic Research, Inc.
- Michael Weber & Ali K. Ozdagli, 2017. "Monetary policy through production networks: evidence from the stock market," Working Papers 17-15, Federal Reserve Bank of Boston, revised 01 Oct 2017.
- Ali Ozdagli & Michael Weber, 2017. "Monetary Policy through Production Networks: Evidence from the Stock Market," CESifo Working Paper Series 6486, CESifo Group Munich.
- Neville Francis & Michael T. Owyang & Ozge Savascin, 2017.
"An endogenously clustered factor approach to international business cycles,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(7), pages 1261-1276, November.
- Neville Francis & Michael T. Owyang & Özge Savascin, 2012. "An endogenously clustered factor approach to international business cycles," Working Papers 2012-014, Federal Reserve Bank of St. Louis.
- Michael T. Owyang & Jeremy Piger & Howard J. Wall, 2005.
"Business Cycle Phases in U.S. States,"
The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 604-616, November.
- Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2004. "Business cycle phases in U.S. states," Working Papers 2003-011, Federal Reserve Bank of St. Louis.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Danilo Leiva-Leon, 2017.
"Measuring Business Cycles Intra-Synchronization in US: A Regime-switching Interdependence Framework,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 513-545, August.
- Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
- James D. Hamilton & Michael T. Owyang, 2012.
"The Propagation of Regional Recessions,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 935-947, November.
- James D. Hamilton & Michael T. Owyang, 2009. "The propagation of regional recessions," Working Papers 2009-013, Federal Reserve Bank of St. Louis.
- James D. Hamilton & Michael T. Owyang, 2011. "The Propagation of Regional Recessions," NBER Working Papers 16657, National Bureau of Economic Research, Inc.
- J. Durbin, 2002. "A simple and efficient simulation smoother for state space time series analysis," Biometrika, Biometrika Trust, vol. 89(3), pages 603-616, August.
- James C. Morley & Charles R. Nelson & Eric Zivot, 2003.
"Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?,"
The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
- Charles Nelson & Eric Zivot, 2000. "Why are Beveridge-Nelson and Unobserved-Component Decompositions of GDP so Different?," Econometric Society World Congress 2000 Contributed Papers 0692, Econometric Society.
- James Morley & Charles Nelson & Eric Zivot, 2002. "Why Are Beveridge-Nelson and Unobserved-Component Decompositions of GDP So Different?," Working Papers UWEC-2002-01, University of Washington, Department of Economics.
- James C. Morley & Charles Nelson & Eric Zivot, 2000. "Why Are Beveridge-Nelson and Unobserved-Component Decompositions of GDP So Different?," Working Papers 0013, University of Washington, Department of Economics.
- James C. Morley & Charles Nelson & Eric Zivot, 2000. "Why Are Beveridge-Nelson and Unobserved-Component Decompositions of GDP So Different?," Discussion Papers in Economics at the University of Washington 0013, Department of Economics at the University of Washington.
- James Morley & Charles Nelson & Eric Zivot, 2003. "Why are Beveridge-Nelson and Unobserved-component decompositions of GDP so Different?," Working Papers UWEC-2002-18-P, University of Washington, Department of Economics.
- Chauvet, Marcelle & Piger, Jeremy, 2008.
"A Comparison of the Real-Time Performance of Business Cycle Dating Methods,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 42-49, January.
- Marcelle Chauvet & Jeremy M. Piger, 2005. "A comparison of the real-time performance of business cycle dating methods," Working Papers 2005-021, Federal Reserve Bank of St. Louis.
- James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
- Sylvia Kaufmann, 2010.
"Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(2), pages 309-344.
- Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank).
- Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-227, June.
- Julio Garin & Michael J. Pries & Eric R. Sims, 2018. "The Relative Importance of Aggregate and Sectoral Shocks and the Changing Nature of Economic Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 119-148, January.
- Andreas Hornstein, 2000. "The business cycle and industry comovement," Economic Quarterly, Federal Reserve Bank of Richmond, issue Win, pages 27-48.
- Peter K. Clark, 1987. "The Cyclical Component of U. S. Economic Activity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 797-814.
- Cooper, Russell & Haltiwanger, John, 1990.
"Inventories and the Propagation of Sectoral Shocks,"
American Economic Review, American Economic Association, vol. 80(1), pages 170-190, March.
- Russell Cooper & John C. Haltiwanger, 1987. "Inventories and the Propagation of Sectoral Shocks," NBER Working Papers 2425, National Bureau of Economic Research, Inc.
- Carlino, Gerald A. & DeFina, Robert H., 2004. "How strong is co-movement in employment over the business cycle? Evidence from state/sector data," Journal of Urban Economics, Elsevier, vol. 55(2), pages 298-315, March.
- M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
- Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022.
"Markov switching panel with endogenous synchronization effects,"
Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
- Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
- Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
- Cogley, Timothy & Nason, James M., 1995.
"Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle research,"
Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 253-278.
- Timothy Cogley & James M. Nason, 1993. "Effects of the Hodrick-Prescott filter on trend and difference stationary time series: implications for business cycle research," Working Papers in Applied Economic Theory 93-01, Federal Reserve Bank of San Francisco.
- Young Sik Kim & Kunhong Kim, 2006. "How Important is the Intermediate Input Channel in Explaining Sectoral Employment Comovement over the Business Cycle?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(4), pages 659-682, October.
- McElroy, Tucker S. & Wildi, Marc, 2020. "The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions," Econometrics and Statistics, Elsevier, vol. 14(C), pages 112-130.
- Manuel González‐Astudillo, 2019. "Estimating the U.S. output gap with state‐level data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 795-810, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- 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.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yongsung Chang & Sunoong Hwang, 2015.
"Asymmetric Phase Shifts in U.S. Industrial Production Cycles,"
The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
- 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).
- Sunoong Hwang & Yongsung Chang, 2011. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," 2011 Meeting Papers 31, Society for Economic Dynamics.
- Kristina Barauskaite & Anh D. M. Nguyen, 2022.
"Intersectoral network‐based channel of aggregate TFP shocks,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3897-3910, October.
- 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.
- Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022.
"Contagious switching,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
- Michael T. Owyang & Jeremy M. Piger & Daniel Soques, 2019. "Contagious Switching," Working Papers 2019-014, Federal Reserve Bank of St. Louis, revised 28 Feb 2021.
- Barauskaite, Kristina & Nguyen, Anh D.M., 2021. "Global intersectoral production network and aggregate fluctuations," Economic Modelling, Elsevier, vol. 102(C).
- Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022.
"Markov switching panel with endogenous synchronization effects,"
Journal of Econometrics, Elsevier, vol. 230(2), pages 281-298.
- Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
- Camacho, Maximo & Leiva-Leon, Danilo, 2019.
"The Propagation Of Industrial Business Cycles,"
Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
- Maximo Camacho & Danilo Leiva-Leon, 2014. "The Propagation of Industrial Business Cycles," Staff Working Papers 14-48, Bank of Canada.
- Maximo Camacho & Danilo Leiva-Leon, 2017. "The propagation of industrial business cycles," Working Papers 1728, Banco de España.
- Yves Schueler, 2024.
"Filtering economic time series: On the cyclical properties of Hamilton’s regression filter and the Hodrick-Prescott filter,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 54, October.
- Yves Schueler, 2024. "Code and data files for "Filtering economic time series: On the cyclical properties of Hamilton’s regression filter and the Hodrick-Prescott filter"," Computer Codes 23-94, Review of Economic Dynamics.
- Julian Di Giovanni & Galina Hale, 2022.
"Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy,"
Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
- Julian di Giovanni & Galina Hale, 2020. "Stock Market Spillovers Via the Global Production Network: Transmission of U.S. Monetary Policy," Working Papers 1213, Barcelona School of Economics.
- Hale, Galina & di Giovanni, Julian, 2020. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," CEPR Discussion Papers 15404, C.E.P.R. Discussion Papers.
- Julian di Giovanni & Galina Hale, 2020. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Staff Reports 945, Federal Reserve Bank of New York.
- Julian di Giovanni & Galina Hale, 2021. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," NBER Working Papers 28827, National Bureau of Economic Research, Inc.
- 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.
- Luis Uzeda, 2022.
"State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models,"
Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53,
Emerald Group Publishing Limited.
- Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
- Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
- Dong, Feng & Wen, Yi, 2019.
"Long and Plosser meet Bewley and Lucas,"
Journal of Monetary Economics, Elsevier, vol. 102(C), pages 70-92.
- Feng Dong & Yi Wen, 2018. "Long and Plosser Meet Bewley and Lucas," Working Papers 2018-8, Federal Reserve Bank of St. Louis.
- Han, Yang & Liu, Zehao & Ma, Jun, 2020. "Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model," China Economic Review, Elsevier, vol. 63(C).
- Álvarez, Luis J. & Gómez-Loscos, Ana, 2018.
"A menu on output gap estimation methods,"
Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
- Luis J. Álvarez & Ana Gómez-Loscos, 2017. "A menu on output gap estimation methods," Working Papers 1720, Banco de España.
- Fukuda, Kosei, 2012. "Illustrating extraordinary shocks causing trend breaks," Economic Modelling, Elsevier, vol. 29(4), pages 1045-1052.
- Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017.
"Price Rigidities and the Granular Origins of Aggregate Fluctuations,"
CESifo Working Paper Series
6619, CESifo.
- Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2017. "Price rigidities and the granular origins of aggregate fluctuations," Working Paper Series 2102, European Central Bank.
- 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.
- L.A. Gil-Alana, 2005. "Fractional Cyclical Structures & Business Cycles in the Specification of the US Real Output," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 99-126.
- Blonigen, Bruce A. & Piger, Jeremy & Sly, Nicholas, 2014.
"Comovement in GDP trends and cycles among trading partners,"
Journal of International Economics, Elsevier, vol. 94(2), pages 239-247.
- Bruce A. Blonigen & Jeremy Piger & Nicholas Sly, 2012. "Comovement in GDP Trends and Cycles Among Trading Partners," NBER Working Papers 18032, National Bureau of Economic Research, Inc.
- Nicole Branger & Patrick Konermann & Christoph Meinerding & Christian Schlag, 2021.
"Equilibrium Asset Pricing in Directed Networks [Risk premia and term premia in general equilibrium],"
Review of Finance, European Finance Association, vol. 25(3), pages 777-818.
- Branger, Nicole & Konermann, Patrick & Meinerding, Christoph & Schlag, Christian, 2018. "Equilibrium asset pricing in directed networks," Discussion Papers 37/2018, Deutsche Bundesbank.
- Branger, Nicole & Konermann, Patrick & Meinerding, Christoph & Schlag, Christian, 2020. "Equilibrium asset pricing in directed networks," SAFE Working Paper Series 74, Leibniz Institute for Financial Research SAFE, revised 2020.
- Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
- Kristina Barauskaite & Anh Dinh Minh Nguyen, 2021.
"Direct and network effects of idiosyncratic TFP shocks,"
Empirical Economics, Springer, vol. 60(6), pages 2765-2793, June.
- 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.
- Zuzana Molnarova, 2020. "Industry evidence and the vanishing cyclicality of labor productivity," Vienna Economics Papers vie2001, University of Vienna, Department of Economics.
More about this item
Keywords
cluster analysis; Markov-switching;JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MAC-2021-01-11 (Macroeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedlwp:89372. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Oates (email available below). General contact details of provider: https://edirc.repec.org/data/frbslus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.