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Marcelle Chauvet

Citations

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

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. 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.

    Mentioned in:

    1. How likely is a recession? (And how fast is a forecast?)
      by ? in FRED blog on 2015-05-14 18:00:33
    2. How likely is a recession? (And how fast is a forecast?)
      by ? in FRED blog on 2015-05-14 18:00:33
    3. Are we in a recession (yet)? : Consulting Chauvet and Piger’s smoothed probabilities
      by ? in FRED blog on 2022-08-08 13:00:00
  2. 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.

    Mentioned in:

    1. How likely is a recession? (And how fast is a forecast?)
      by ? in FRED blog on 2015-05-14 18:00:33
    2. How likely is a recession? (And how fast is a forecast?)
      by ? in FRED blog on 2015-05-14 18:00:33
    3. Are we in a recession (yet)? : Consulting Chauvet and Piger’s smoothed probabilities
      by ? in FRED blog on 2022-08-08 13:00:00
  3. Chauvet, Marcelle, 1998. "An Econometric Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 969-996, November.

    Mentioned in:

    1. How likely is a recession? (And how fast is a forecast?)
      by ? in FRED blog on 2015-05-14 18:00:33
    2. Are we in a recession (yet)? : Consulting Chauvet and Piger’s smoothed probabilities
      by ? in FRED blog on 2022-08-08 13:00:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. 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.

    Mentioned in:

    1. > Econometrics > Forecasting

Working papers

  1. Marcelle Chauvet & Rafael R. S. Guimaraes, 2021. "Transfer Learning for Business Cycle Identification," Working Papers Series 545, Central Bank of Brazil, Research Department.

    Cited by:

    1. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    2. Hocke, Simone & Klee, Andreas, 2023. "Transformation in der Arbeitswelt gestalten: Welchen Beitrag leistet eine akademische Weiterbildung von Betriebs- und Personalräten?," Working Paper Forschungsförderung 309, Hans-Böckler-Stiftung, Düsseldorf.
    3. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    4. Tilocca, Giuseppe & Sánchez, David & Torres-García, Miguel, 2024. "Applying the root cause analysis methodology to study the lack of market success of micro gas turbine systems," Applied Energy, Elsevier, vol. 360(C).

  2. Barnett, William & Chauvet, Marcelle & Leiva-Leon, Danilo & Su, Liting, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary," Studies in Applied Economics 59, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    3. Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    5. William A. Barnett & Liting Su, 2016. "Data Sources For The Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201603, University of Kansas, Department of Economics, revised Aug 2016.
    6. William A. Barnett & Marcelle Chauvet & Danilo Leiva‐Leon & Liting Su, 2024. "The Credit‐Card‐Services Augmented Divisia Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1163-1202, August.
    7. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    8. Barnett William A. & Park Sohee, 2024. "Welfare cost of inflation, when credit card transaction services are included among monetary services," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 463-479.
    9. James Chapman & Ajit Desai, 2021. "Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19," Staff Working Papers 21-2, Bank of Canada.
    10. William A. Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    11. William A. Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    12. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    13. António Rua & Nuno Lourenço, 2020. "The DEI: tracking economic activity daily during the lockdown," Working Papers w202013, Banco de Portugal, Economics and Research Department.
    14. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    15. Liu Jinan & Serletis Apostolos, 2020. "Money growth variability and output: evidence with credit card-augmented Divisia monetary aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-11, December.
    16. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    17. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
    18. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    19. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
    20. Zheng, Tingguo & Fan, Xinyue & Jin, Wei & Fang, Kuangnan, 2024. "Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data," International Journal of Forecasting, Elsevier, vol. 40(2), pages 746-761.

  3. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "Nowcasting Nominal GDP with the Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201605, University of Kansas, Department of Economics, revised Aug 2016.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    3. Barnett, William & Su, Liting, 2016. "Risk Adjustment of the Credit-Card Augmented Divisia Monetary Aggregates," Studies in Applied Economics 67, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    5. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    6. William A. Barnett & Liting Su, 2016. "Data Sources For The Credit-Card Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201603, University of Kansas, Department of Economics, revised Aug 2016.
    7. William A. Barnett & Marcelle Chauvet & Danilo Leiva‐Leon & Liting Su, 2024. "The Credit‐Card‐Services Augmented Divisia Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1163-1202, August.
    8. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    9. Barnett William A. & Park Sohee, 2024. "Welfare cost of inflation, when credit card transaction services are included among monetary services," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 463-479.
    10. William A. Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    11. William A. Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    12. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    13. Liu Jinan & Serletis Apostolos, 2020. "Money growth variability and output: evidence with credit card-augmented Divisia monetary aggregates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-11, December.
    14. Knut Are Aastveit & Tuva Marie Fastbø & Eleonora Granziera & Kenneth Sæterhagen Paulsen & Kjersti Næss Torstensen, 2020. "Nowcasting Norwegian household consumption with debit card transaction data," Working Paper 2020/17, Norges Bank.
    15. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    16. Lourenço, Nuno & Rua, António, 2021. "The Daily Economic Indicator: tracking economic activity daily during the lockdown," Economic Modelling, Elsevier, vol. 100(C).
    17. Zheng, Tingguo & Fan, Xinyue & Jin, Wei & Fang, Kuangnan, 2024. "Words or numbers? Macroeconomic nowcasting with textual and macroeconomic data," International Journal of Forecasting, Elsevier, vol. 40(2), pages 746-761.
    18. William A. Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.

  4. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon & Liting Su, 2016. "The Credit-Card-Services Augmented Divisia Monetary Aggregates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201604, University of Kansas, Department of Economics, revised Aug 2016.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    3. Dennis Fixler & Kim Zieschang, 2016. "Producing Liquidity," CEPA Working Papers Series WP022016, School of Economics, University of Queensland, Australia.
    4. Barnett, William & Liu, Jinan, 2017. "User Cost of Credit Card Services under Risk with Intertemporal Nonseparability," MPRA Paper 81461, University Library of Munich, Germany.
    5. William A. Barnett & Liting Su, 2016. "Joint aggregation over money and credit card services under risk," Economics Bulletin, AccessEcon, vol. 36(4), pages 2301-2310.
    6. William A. Barnett & Kun He & Jingtong He, 2022. "Consumption Loan Augmented Divisia Monetary Index and China Monetary Aggregation," JRFM, MDPI, vol. 15(10), pages 1-17, October.
    7. Barnett William A. & Park Sohee, 2024. "Welfare cost of inflation, when credit card transaction services are included among monetary services," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 463-479.
    8. William A. Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    9. William A. Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    10. Barnett, William A. & Nguyen, Van H., 2021. "Constructing Divisia monetary aggregates for Singapore," MPRA Paper 108422, University Library of Munich, Germany.
    11. Barnett, William & Park, Sohee, 2021. "Forecasting Inflation and Output Growth with Credit-Card-Augmented Divisia Monetary Aggregates," MPRA Paper 110298, University Library of Munich, Germany.
    12. William A. Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.

  5. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.

    Cited by:

    1. William A. Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    2. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    3. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    4. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.

  6. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," MPRA Paper 53699, University Library of Munich, Germany.

    Cited by:

    1. Christian Glocker & Philipp Wegmüller, 2017. "Business Cycle Dating and Forecasting with Real-time Swiss GDP Data," WIFO Working Papers 542, WIFO.
    2. Gálvez-Soriano Oscar de Jesús, 2018. "Nowcasting Mexican GDP using Factor Models and Bridge Equations," Working Papers 2018-06, Banco de México.
    3. Lorenzo Ductor & Danilo Leiva-Leon, 2015. "Dynamics of Global Business Cycles Interdependence," Working Papers Central Bank of Chile 763, Central Bank of Chile.

  7. Richard G. Anderson & Marcelle Chauvet & Barry E. Jones, 2013. "Nonlinear relationship between permanent and transitory components of monetary aggregates and the economy," Working Papers 2013-018, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Michael D. Bordo & John V. Duca, 2023. "Broad Divisia Money and the Recovery of U.S. Nominal GDP from the COVID-19 Recession," Working Papers 319, Princeton University, Department of Economics, Center for Economic Policy Studies..
    2. Michael T. Belongia & Peter N. Ireland, 2013. "Instability: Monetary and Real," Boston College Working Papers in Economics 830, Boston College Department of Economics.
    3. Michael T. Belongia & Peter N. Ireland, 2015. "Money and Output: Friedman and Schwartz Revisited," NBER Working Papers 21796, National Bureau of Economic Research, Inc.
    4. Fleissig, Adrian R. & Jones, Barry E., 2015. "The impact of commercial sweeping on the demand for monetary assets during the Great Recession," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 412-422.
    5. Apostolos Serletis & Khandokar Istiak, "undated". "Are the Responses of the U.S. Economy Asymmetric to Positive and Negative Money Supply Shocks?," Working Papers 2015-17, Department of Economics, University of Calgary, revised 10 Aug 2015.
    6. Lu, Yao & Zhao, Zhihui & Tian, Yuan & Zhan, Minghua, 2024. "How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    7. Chun Deng & Jie-Fang Dong, 2016. "Coal Consumption Reduction in Shandong Province: A Dynamic Vector Autoregression Model," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    8. Michael D. Bordo & John V. Duca, 2023. "Money Matters: Broad Divisia Money and the Recovery of Nominal GDP from the COVID-19 Recession," NBER Working Papers 31304, National Bureau of Economic Research, Inc.
    9. Sijia Li & Lihua Wu, 2024. "Can regional integration promote industrial green transformation? Empirical evidence from Yangtze River Delta Urban Agglomeration," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 14(1), pages 117-134, March.
    10. Allan H. Meltzer, 2014. "Current Lessons from the Past: How the Fed Repeats Its History," Cato Journal, Cato Journal, Cato Institute, vol. 34(3), pages 519-539, Fall.
    11. Xu, Bin & Lin, Boqiang, 2016. "Assessing CO2 emissions in China’s iron and steel industry: A dynamic vector autoregression model," Applied Energy, Elsevier, vol. 161(C), pages 375-386.
    12. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.

  8. Ms. Marcelle Chauvet & Mr. Jack G. Selody & Mr. Douglas Laxton & Mr. Michael Kumhof & Mr. Jaromir Benes & Mr. Ondrej Kamenik & Susanna Mursula, 2012. "The Future of Oil: Geology Versus Technology," IMF Working Papers 2012/109, International Monetary Fund.

    Cited by:

    1. Malanichev, A., 2018. "Modelling of Economic Oscillations of Shale Oil Production on the Basis of Analytical Solutions of a Differentiation Equation with a Retarded Argument," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 54-74.
    2. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "U.S. shale oil production and WTI prices behaviour," Energy, Elsevier, vol. 141(C), pages 12-19.
    3. Virginia Di Nino & Ivan Faiella, 2013. "The �new� non-conventional hydrocarbons: the solution to the energy conundrum?," Questioni di Economia e Finanza (Occasional Papers) 205, Bank of Italy, Economic Research and International Relations Area.
    4. Dahl, Roy Endre & Lorentzen, Sindre & Oglend, Atle & Osmundsen, Petter, 2016. "Pro-Cyclical Petroleum Investments and Cost Overruns in Norway by Roy Endré Dahl, Sindre Lorentzen, Atle Oglend, and Petter Osmundsen," UiS Working Papers in Economics and Finance 2016/7, University of Stavanger.
    5. Susanne Peters & Kirsten Westphal, 2013. "Global energy supply: scale, perception and the return to geopolitics," Chapters, in: Hugh Dyer & Maria Julia Trombetta (ed.), International Handbook of Energy Security, chapter 5, pages 92-114, Edward Elgar Publishing.
    6. Jeffrey B. Nugent & Malgorzata Switek, 2013. "Oil prices and life satisfaction: asymmetries between oil exporting and oil importing countries," Applied Economics, Taylor & Francis Journals, vol. 45(33), pages 4603-4628, November.
    7. Martin de Wit & Matthew Kuperus Heun & Douglas J Crookes, 2013. "An overview of salient factors, relationships and values to support integrated energy-economic systems dynamic modelling," Working Papers 02/2013, Stellenbosch University, Department of Economics.
    8. Jan Anne Annema & Hugo Priemus, 2013. "Mega-projects: new challenges to cope with climate change and energy transition," Chapters, in: Hugo Priemus & Bert van Wee (ed.), International Handbook on Mega-Projects, chapter 18, pages 398-417, Edward Elgar Publishing.
    9. John Baffes & M. Ayhan Kose & Franziska Ohnsorge & Marc Stocker, 2015. "The great plunge in oil prices: causes, consequences, and policy responses," CAMA Working Papers 2015-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. R W. Bentley & M. Mushalik & J. Wang, 2020. "The Resource-Limited Plateau in Global Conventional Oil Production: Analysis and Consequences," Biophysical Economics and Resource Quality, Springer, vol. 5(2), pages 1-22, June.
    11. Nigel P. Melville & Ryan Whisnant, 2014. "Energy and Carbon Management Systems," Journal of Industrial Ecology, Yale University, vol. 18(6), pages 920-930, December.
    12. Benjamin Beckers & Samya Beidas-Strom, 2015. "Forecasting the Nominal Brent Oil Price with VARs—One Model Fits All?," IMF Working Papers 2015/251, International Monetary Fund.
    13. James D. Hamilton, 2014. "The Changing Face of World Oil Markets," NBER Working Papers 20355, National Bureau of Economic Research, Inc.
    14. Lutz Kilian, 2017. "The Impact of the Fracking Boom on Arab Oil Producers," The Energy Journal, , vol. 38(6), pages 137-160, November.
    15. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).
    16. Solarin, Sakiru Adebola & Gil-Alana, Luis A. & Lafuente, Carmen, 2020. "An investigation of long range reliance on shale oil and shale gas production in the U.S. market," Energy, Elsevier, vol. 195(C).
    17. Glynn, James & Chiodi, Alessandro & Gargiulo, Maurizio & Deane, J.P. & Bazilian, Morgan & Gallachóir, Brian Ó, 2014. "Energy Security Analysis: The case of constrained oil supply for Ireland," Energy Policy, Elsevier, vol. 66(C), pages 312-325.
    18. Dahl, Roy Endré & Lorentzen, Sindre & Oglend, Atle & Osmundsen, Petter, 2017. "Pro-cyclical petroleum investments and cost overruns in Norway," Energy Policy, Elsevier, vol. 100(C), pages 68-78.
    19. Capellán-Pérez, Iñigo & Mediavilla, Margarita & de Castro, Carlos & Carpintero, Óscar & Miguel, Luis Javier, 2014. "Fossil fuel depletion and socio-economic scenarios: An integrated approach," Energy, Elsevier, vol. 77(C), pages 641-666.
    20. Mont'Alverne Duarte, Angelo & Gaglianone, Wagner Piazza & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor, 2021. "Commodity prices and global economic activity: A derived-demand approach," Energy Economics, Elsevier, vol. 96(C).
    21. Voudouris, Vlasios & Matsumoto, Ken'ichi & Sedgwick, John & Rigby, Robert & Stasinopoulos, Dimitrios & Jefferson, Michael, 2014. "Exploring the production of natural gas through the lenses of the ACEGES model," Energy Policy, Elsevier, vol. 64(C), pages 124-133.
    22. Dalheimer, Bernhard & Herwartz, Helmut & Lange, Alexander, 2021. "The threat of oil market turmoils to food price stability in Sub-Saharan Africa," Energy Economics, Elsevier, vol. 93(C).
    23. Pedro Moreno Alonso & Antonio Mu oz San Roque, 2021. "Oil Costs and Prices: An Empirical Causality Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 546-554.
    24. Uche-Soria, Manuel & Rodríguez-Monroy, Carlos, 2020. "Energy planning and its relationship to energy poverty in decision making. A first approach for the Canary Islands," Energy Policy, Elsevier, vol. 140(C).
    25. Chapman, Ian, 2014. "The end of Peak Oil? Why this topic is still relevant despite recent denials," Energy Policy, Elsevier, vol. 64(C), pages 93-101.
    26. González-Eguino, Mikel, 2015. "Energy poverty: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 377-385.
    27. Alexander Malanichev, 2018. "Limits of Technological Efficiency of Shale Oil Production in the USA," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(4), pages 78-89.
    28. Bentley, Roger & Bentley, Yongmei, 2015. "Explaining the price of oil 1971–2014 : The need to use reliable data on oil discovery and to account for ‘mid-point’ peak," Energy Policy, Elsevier, vol. 86(C), pages 880-890.
    29. Arunanondchai, Panit & Senia, Mark C. & Capps, Oral Jr, 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252717, Southern Agricultural Economics Association.
    30. Yu, Lean & Zhao, Yaqing & Tang, Ling & Yang, Zebin, 2019. "Online big data-driven oil consumption forecasting with Google trends," International Journal of Forecasting, Elsevier, vol. 35(1), pages 213-223.
    31. Rye, Craig D. & Jackson, Tim, 2018. "A review of EROEI-dynamics energy-transition models," Energy Policy, Elsevier, vol. 122(C), pages 260-272.
    32. Mr. Michael Kumhof & Mr. Dirk V Muir, 2012. "Oil and the World Economy: Some Possible Futures," IMF Working Papers 2012/256, International Monetary Fund.
    33. Chavez-Rodriguez, Mauro F. & Szklo, Alexandre & de Lucena, Andre Frossard Pereira, 2015. "Analysis of past and future oil production in Peru under a Hubbert approach," Energy Policy, Elsevier, vol. 77(C), pages 140-151.
    34. Bumsoo Lee & Yongsung Lee, 2013. "Complementary Pricing and Land Use Policies: Does It Lead to Higher Transit Use?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(4), pages 314-328, October.

  9. Marcelle Chauvet & Zeynep Senyuz & Emre Yoldas, 2012. "What does financial volatility tell us about macroeconomic fluctuations?," Finance and Economics Discussion Series 2012-09, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
    2. Charlotte Christiansen & Maik Schmeling & Andreas Schrimpf, 2012. "A Comprehensive Look at Financial Volatility Prediction by Economic Variables," BIS Working Papers 374, Bank for International Settlements.
    3. Laurent Ferrara & Clément Marsilli & Juan-Pablo Ortega, 2013. "Forecasting US growth during the Great Recession: Is the financial volatility the missing ingredient?," Working Papers hal-04141198, HAL.
    4. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2021. "The impact of hedging on risk-averse agents’ output decisions," Economic Modelling, Elsevier, vol. 104(C).
    5. Ergemen, Yunus Emre & Velasco, Carlos, 2017. "Estimation of fractionally integrated panels with fixed effects and cross-section dependence," Journal of Econometrics, Elsevier, vol. 196(2), pages 248-258.
    6. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    7. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    8. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy," Post-Print hal-01549625, HAL.
    9. Oguzhan Ozcelebi & Nurtac Yildirim, 2017. "Interrelations Between External and Internal Macroeconomic Factors: Empirical Evidence on Some OECD Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(2), pages 147-174.
    10. Tran, Thuy Nhung, 2022. "The Volatility of the Stock Market and Financial Cycle: GARCH Family Models," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 56(1), pages 151-168.
    11. Li, Xiao-Ming & Qiu, Mei, 2021. "The joint effects of economic policy uncertainty and firm characteristics on capital structure: Evidence from US firms," Journal of International Money and Finance, Elsevier, vol. 110(C).
    12. Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
    13. Amélie Charles & Olivier Darné & Fabien Tripier, 2017. "Uncertainty and the Macroeconomy: Evidence from an Uncertainty Composite Indicator," Working Papers 2017-25, CEPII research center.
    14. Yin, Libo & Feng, Jiabao & Liu, Li & Wang, Yudong, 2019. "It's not that important: The negligible effect of oil market uncertainty," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 62-84.
    15. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2021. "Realized skewness and the short-term predictability for aggregate stock market volatility," Economic Modelling, Elsevier, vol. 103(C).
    16. Laurent Ferrara & Stéphane Lhuissier & Fabien Tripier, 2018. "Uncertainty Fluctuations: Measures, Effects and Macroeconomic Policy Challenges," Financial and Monetary Policy Studies, in: Laurent Ferrara & Ignacio Hernando & Daniela Marconi (ed.), International Macroeconomics in the Wake of the Global Financial Crisis, pages 159-181, Springer.
    17. Zhang, Lili & Zhong, Juandan, 2024. "Transportation sector and Chinese stock volatility forecasting: Evidence from freight and passenger traffic," Finance Research Letters, Elsevier, vol. 60(C).
    18. Jixiang, Zhang & Feng, Ma, 2024. "Video apps user engagement and stock market volatility: Evidence from China," Finance Research Letters, Elsevier, vol. 64(C).
    19. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    20. Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
    21. John Cotter & Mark Hallam & Kamil Yilmaz, 2017. "Mixed-frequency macro-financial spillovers," Working Papers 201704, Geary Institute, University College Dublin.
    22. Duo Qin & Sophie van Huellen & Qing Chao Wang & Thanos Moraitis, 2022. "Algorithmic Modelling of Financial Conditions for Macro Predictive Purposes: Pilot Application to USA Data," Econometrics, MDPI, vol. 10(2), pages 1-22, April.
    23. Xianfei Hui & Baiqing Sun & Indranil SenGupta & Yan Zhou & Hui Jiang, 2022. "Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning," Papers 2204.02891, arXiv.org, revised Jan 2023.
    24. Vu, Nam T., 2015. "Stock market volatility and international business cycle dynamics: Evidence from OECD economies," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 1-15.
    25. McIver, Ron P. & Kang, Sang Hoon, 2020. "Financial crises and the dynamics of the spillovers between the U.S. and BRICS stock markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    26. Yunus Emre Ergemen, 2022. "Parametric Estimation of Long Memory in Factor Models," CREATES Research Papers 2022-10, Department of Economics and Business Economics, Aarhus University.
    27. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
    28. C. Marsilli, 2014. "Variable Selection in Predictive MIDAS Models," Working papers 520, Banque de France.
    29. Feng He & Libo Yin, 2021. "Shocks to the equity capital ratio of financial intermediaries and the predictability of stock return volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 945-962, September.
    30. Wang, Yudong & Wei, Yu & Wu, Chongfeng & Yin, Libo, 2018. "Oil and the short-term predictability of stock return volatility," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 90-104.

  10. Marcelle Chauvet & Zeynep Senyuz, 2012. "A Dynamic Factor Model of the Yield Curve as a Predictor of the Economy," Finance and Economics Discussion Series 2012-32, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    2. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction Between Financial and Business Cycles," Working Papers 2017:24, Department of Economics, University of Venice "Ca' Foscari".
    3. Abdymomunov, Azamat, 2013. "Predicting output using the entire yield curve," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 333-344.
    4. Catherine Doz & Anna Petronevich, 2017. "On the consistency of the two-step estimates of the MS-DFM: a Monte Carlo study," PSE Working Papers halshs-01592863, HAL.
    5. Travis J. Berge, 2015. "Predicting Recessions with Leading Indicators: Model Averaging and Selection over the Business Cycle," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(6), pages 455-471, September.

  11. Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 34103, University Library of Munich, Germany.

    Cited by:

    1. Howard J. Wall, 2023. "Sex and the business cycle," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1958-1971, April.
    2. Wall, Howard, 2022. "The Great, Greater, and Greatest Recessions of US States," MPRA Paper 112005, University Library of Munich, Germany.
    3. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    4. Eiji Goto & Jan P.A.M. Jacobs & Tara M. Sinclair & Simon van Norden, 2021. "Employment Reconciliation and Nowcasting," Working Papers 2021-007, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  12. William A. Barnett & Marcelle Chauvet, 2010. "How Better Monetary Statistics Could Have Signaled the Financial Crisis," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201005, University of Kansas, Department of Economics, revised Aug 2010.

    Cited by:

    1. Alkhareif, Ryadh & Barnett, William A., 2012. "Divisia monetary aggregates for the GCC countries," MPRA Paper 39539, University Library of Munich, Germany.
    2. Fredj Jawadi & Ricardo M. Sousa, 2012. "Money Demand in the euro area, the US and the UK:Assessing the Role of Nonlinearity," NIPE Working Papers 22/2012, NIPE - Universidade do Minho.
    3. El-Shagi, Makram & Kelly, Logan, 2019. "What can we learn from country-level liquidity in the EMU?," Journal of Financial Stability, Elsevier, vol. 42(C), pages 75-83.
    4. Chen, Wenjuan & Nautz, Dieter, 2015. "The information content of monetary statistics for the Great Recession: Evidence from Germany," SFB 649 Discussion Papers 2015-027, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    5. Apostolos Serletis & Libo Xu, "undated". "Consumption, Leisure, and Money," Working Papers 2019-08, Department of Economics, University of Calgary, revised 06 Jul 2019.
    6. Barnett, William & Su, Liting, 2017. "Financial Firm Production of Inside Monetary and Credit Card Services: An Aggregation Theoretic Approach," MPRA Paper 82061, University Library of Munich, Germany.
    7. Kelly, Logan & Barnett, William A. & Keating, John, 2010. "Rethinking the liquidity puzzle: application of a new measure of the economic money stock," MPRA Paper 22087, University Library of Munich, Germany.
    8. Bezemer, Dirk & Grydaki, Maria, 2014. "Nonfinancial sectors debt and the U.S. great moderation," Research Report 14030-GEM, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    9. Makram El-Shagi & Kiril Tochkov, 2021. "Divisia Monetary Aggregates for Russia: Money Demand, GDP Nowcasting, and the Price Puzzle," CFDS Discussion Paper Series 2021/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    10. Per Hjertstrand & James L. Swofford & Gerald A. Whitney, 2016. "Mixed Integer Programming Revealed Preference Tests of Utility Maximization and Weak Separability of Consumption, Leisure, and Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(7), pages 1547-1561, October.
    11. Hjertstrand, Per & L. Swofford, James & Whitney, Gerald A., 2013. "Revealed Preference Tests of Utility Maximization and Weak Separability of Consumption, Leisure and Money with Incomplete Adjustment," Working Paper Series 971, Research Institute of Industrial Economics.
    12. William A. Barnett & Liting Su, 2016. "Joint aggregation over money and credit card services under risk," Economics Bulletin, AccessEcon, vol. 36(4), pages 2301-2310.
    13. William A. Barnett & Neepa B. Gaekwad, 2018. "The Demand for Money for EMU: a Flexible Functional Form Approach," Open Economies Review, Springer, vol. 29(2), pages 353-371, April.
    14. William A. Barnett & Marcelle Chauvet & Danilo Leiva‐Leon & Liting Su, 2024. "The Credit‐Card‐Services Augmented Divisia Monetary Aggregates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1163-1202, August.
    15. William A. Barnett & Qing Han & Jianbo Zhang, 2018. "Monetary Services Aggregation under Uncertainty: A Behavioral Economics Extension Using Choquet Expectation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201806, University of Kansas, Department of Economics, revised Aug 2018.
    16. Fleissig, Adrian R. & Jones, Barry E., 2015. "The impact of commercial sweeping on the demand for monetary assets during the Great Recession," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 412-422.
    17. Michael T. Belongia & Peter N. Ireland, 2019. "A Reconsideration of Money Growth Rules," Boston College Working Papers in Economics 976, Boston College Department of Economics.
    18. Jonathan Benchimol & Irfan Qureshi, 2020. "Time-varying money demand and real balance effects," Post-Print hal-02876657, HAL.
    19. Richard G. Anderson & Barry E. Jones, 2011. "A comprehensive revision of the U.S. monetary services (divisia) indexes," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 325-360.
    20. James J. Heckman & Apostolos Serletis, "undated". "Introduction to Internally Consistent Modeling, Aggregation, Inference, and Policy," Working Papers 2014-73, Department of Economics, University of Calgary, revised 29 Sep 2014.
    21. Dery, Cosmas & Serletis, Apostolos, 2021. "Interest Rates, Money, And Economic Activity," Macroeconomic Dynamics, Cambridge University Press, vol. 25(7), pages 1842-1891, October.
    22. Ellington, Michael & Milas, Costas, 2019. "Global liquidity, money growth and UK inflation," Journal of Financial Stability, Elsevier, vol. 42(C), pages 67-74.
    23. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    24. William A. Barnett & Liting Su, 2015. "The Use of Divisia Monetary Aggregates in Nominal GDP Targeting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201504, University of Kansas, Department of Economics, revised Oct 2015.
    25. Libo Xu & Apostolos Serletis, 2022. "The Demand for Assets: Evidence from the Markov Switching Normalized Quadratic Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 989-1025, June.
    26. Paul, Sunil & Ramachandran, M., 2011. "Currency equivalent monetary aggregates as leading indicators of inflation," Economic Modelling, Elsevier, vol. 28(4), pages 2041-2048, July.
    27. Brill, Maximilian & Nautz, Dieter & Sieckmann, Lea, 2019. "Divisia monetary aggregates for a heterogeneous euro area," Discussion Papers 2019/9, Free University Berlin, School of Business & Economics.
    28. Hachmi Ben Ameur & Fredj Jawadi & Abdoulkarim Idi Cheffou & Wael Louhichi, 2018. "Measurement errors in stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 287-306, March.
    29. Makram El-Shagi & Kiril Tochkov, 2020. "Shadow of the Colossus: Euro Area Spillovers and Monetary Policy in Central and Eastern Europe," CFDS Discussion Paper Series 2020/7, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    30. Barnett, William A. & Nguyen, Van H., 2021. "Constructing Divisia monetary aggregates for Singapore," MPRA Paper 108422, University Library of Munich, Germany.
    31. John Keating & Logan J. Kelly & Andrew Lee Smith & Victor J. Valcarcel, 2014. "A Model of Monetary Policy Shocks for Financial Crises and Normal Conditions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201401, University of Kansas, Department of Economics.
    32. Stefan Nagel, 2016. "The Liquidity Premium of Near-Money Assets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1927-1971.
    33. Jane M. Binner & logan J. Kelly, 2017. "Modelling Money Shocks in a Small Open Economy: The Case of Taiwan," Manchester School, University of Manchester, vol. 85, pages 104-120, September.
    34. Barnett, William A., 2010. "Audit the Federal Reserve?," MPRA Paper 20261, University Library of Munich, Germany.
    35. Ali Jadidzadeh & Apostolos Serletis, 2019. "The Demand for Assets and Optimal Monetary Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(4), pages 929-952, June.
    36. Michael T. Belongia & Peter N. Ireland, 2010. "The Barnett Critique After Three Decades: A New Keynesian Analysis," Boston College Working Papers in Economics 736, Boston College Department of Economics.
    37. Anderson, Richard G. & Duca, John V. & Fleissig, Adrian R. & Jones, Barry E., 2019. "New monetary services (Divisia) indexes for the post-war U.S," Journal of Financial Stability, Elsevier, vol. 42(C), pages 3-17.
    38. Apostolos Serletis & Khandokar Istiak & Periklis Gogas, 2013. "Interest Rates, Leverage, and Money," Open Economies Review, Springer, vol. 24(1), pages 51-78, February.
    39. Makram El-shagi & Logan J Kelly, 2014. "Liquidity in the liquidity crisis: evidence from Divisia monetary aggregates in Germany and the European crisis countries," Economics Bulletin, AccessEcon, vol. 34(1), pages 63-72.
    40. el-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2011. "The Quantity Theory Revisited: A New Structural Approach," IWH Discussion Papers 7/2011, Halle Institute for Economic Research (IWH).
    41. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.
    42. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach," Economics Bulletin, AccessEcon, vol. 33(2), pages 1101-1115.
    43. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
    44. Barnett, William A., 2014. "The joint services of money and credit," MPRA Paper 60336, University Library of Munich, Germany.
    45. Bezemer, Dirk J & Grydaki, Maria, 2012. "Mortgage Lending and the Great moderation: a multivariate GARCH Approach," MPRA Paper 36356, University Library of Munich, Germany.
    46. Serletis, Apostolos & Xu, Libo, 2020. "Functional monetary aggregates, monetary policy, and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    47. El-Shagi, Makram & Giesen, Sebastian & Kelly, Logan J., 2012. "Monetary Policy in a World Where Money (Also) Matters," IWH Discussion Papers 6/2012, Halle Institute for Economic Research (IWH).
    48. Cosmas Dery & Apostolos Serletis, 2023. "Macroeconomic Fluctuations in the United States: The Role of Monetary and Fiscal Policy Shocks," Open Economies Review, Springer, vol. 34(5), pages 961-977, November.
    49. Fredj Jawadi, 2016. "What Have We Learned from the 2007-08 Financial Crisis? Papers Presented at the Second International Workshop on Financial Markets and Nonlinear Dynamics (Paris, June 4-5, 2015)," Open Economies Review, Springer, vol. 27(5), pages 819-823, November.
    50. William A. Barnett & Liting Su, 2017. "Financial Firm Production Of Inside Monetary And Credit Card Services: An Aggregation Theoretic Approach1," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201707, University of Kansas, Department of Economics, revised Oct 2017.
    51. Fredj Jawadi & Ricardo M. Sousa, 2012. "Consumption and Wealth in the US, the UK and the Euro Area:A Nonlinear Investigation," NIPE Working Papers 24/2012, NIPE - Universidade do Minho.
    52. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

  13. Marcelle Chauvet & Insu Kim, 2010. "Microfoundations of inflation persistence in the New Keynesian Phillips curve," FRB Atlanta CQER Working Paper 2010-05, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Spulbăr Cristi & Niţoi Mihai & STANCIU Cristian, 2012. "Inflation Inertia and Inflation Persistence in Romania Using a DSGE Approach," Scientific Annals of Economics and Business, Sciendo, vol. 59(1), pages 115-124, July.
    2. Kim, Insu, 2009. "Dual Wage Rigidities: Theory and Some Evidence," MPRA Paper 18345, University Library of Munich, Germany.

  14. William Barnett & Marcelle Chauvet, 2008. "International Financial Aggregation and Index Number Theory: A Chronological Half-Century Empirical Overview," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200804, University of Kansas, Department of Economics, revised Sep 2008.

    Cited by:

    1. McCallum, Bennett T. & Nelson, Edward, 2010. "Money and Inflation: Some Critical Issues," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 3, pages 97-153, Elsevier.
    2. Nelson, Edward, 2013. "Friedman's monetary economics in practice," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 59-83.
    3. Apostolos Serletis & Khandokar Istiak, "undated". "Are the Responses of the U.S. Economy Asymmetric to Positive and Negative Money Supply Shocks?," Working Papers 2015-17, Department of Economics, University of Calgary, revised 10 Aug 2015.
    4. Apostolos Serletis & Sajjadur Rahman, 2015. "On the Output Effects of Monetary Variability," Open Economies Review, Springer, vol. 26(2), pages 225-236, April.
    5. Apostolos Serletis & Zisimos Koustas, "undated". "Monetary Neutrality," Working Papers 2015-06, Department of Economics, University of Calgary, revised 29 May 2015.
    6. Rayton, Bruce A. & Pavlyk, Khrystyna, 2010. "On the recent divergence between measures of the money supply in the UK," Economics Letters, Elsevier, vol. 108(2), pages 159-162, August.
    7. Sajjadur Rahman, 2018. "The Lucas hypothesis on monetary shocks: evidence from a GARCH-in-mean model," Empirical Economics, Springer, vol. 54(4), pages 1411-1450, June.
    8. Barnett, William A. & Chauvet, Marcelle, 2008. "The End of the Great Moderation: “We told you so.”," MPRA Paper 11642, University Library of Munich, Germany.

  15. Chauvet, Marcelle & Senyuz, Zeynep, 2008. "A Joint Dynamic Bi-Factor Model of the Yield Curve and the Economy as a Predictor of Business Cycles," MPRA Paper 15076, University Library of Munich, Germany, revised Apr 2009.

    Cited by:

    1. Danilo Leiva-Leon, 2014. "A New Approach to Infer Changes in the Synchronization of Business Cycle Phases," Staff Working Papers 14-38, Bank of Canada.
    2. Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
    3. Catherine Doz & Anna Petronevich, 2015. "Dating Business Cycle Turning Points for the French Economy: a MS-DFM approach," Documents de travail du Centre d'Economie de la Sorbonne 15009, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
    5. Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.

  16. William Barnett & Marcelle Chauvet, 2008. "The End of the Great Moderation?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200814, University of Kansas, Department of Economics, revised Nov 2008.

    Cited by:

    1. Bezemer, Dirk & Grydaki, Maria, 2013. "Debt and the U.S. Great Moderation," MPRA Paper 47399, University Library of Munich, Germany.
    2. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.

  17. Chauvet, Marcelle & Tierney, Heather L. R., 2007. "Real Time Changes in Monetary Policy," MPRA Paper 16199, University Library of Munich, Germany, revised Apr 2009.

    Cited by:

    1. Tierney, Heather L.R., 2011. "Forecasting and tracking real-time data revisions in inflation persistence," MPRA Paper 34439, University Library of Munich, Germany.
    2. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    3. Tierney, Heather L.R., 2009. "A Local Examination for Persistence in Exclusions-from-Core Measures of Inflation Using Real-Time Data," MPRA Paper 13383, University Library of Munich, Germany, revised 03 Feb 2009.
    4. Tierney, Heather L.R., 2010. "Real-Time Data Revisions and the PCE Measure of Inflation," MPRA Paper 22387, University Library of Munich, Germany, revised Apr 2010.
    5. Tierney, Heather L.R., 2009. "Evaluating Exclusion-from-Core Measures of Inflation using Real-Time Data," MPRA Paper 17856, University Library of Munich, Germany.
    6. Heather L. R. Tierney, 2012. "Examining the ability of core inflation to capture the overall trend of total inflation," Applied Economics, Taylor & Francis Journals, vol. 44(4), pages 493-514, February.

  18. William Barnett & Marcelle Chauvet & Heather L. R. Tierney, 2007. "Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200706, University of Kansas, Department of Economics, revised Aug 2008.

    Cited by:

    1. Barnett, William A. & Diewert, W. Erwin & Zellner, Arnold, 2009. "Introduction To Measurement With Theory," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 151-168, September.
    2. Leong, Choi-Meng & Puah, Chin-Hong & Abu Mansor, Shazali & Evan, Lau, 2008. "Testing the Effectiveness of Monetary Policy in Malaysia Using Alternative Monetary Aggregation," MPRA Paper 10568, University Library of Munich, Germany.
    3. Fredj Jawadi & Ricardo M. Sousa, 2012. "Money Demand in the euro area, the US and the UK:Assessing the Role of Nonlinearity," NIPE Working Papers 22/2012, NIPE - Universidade do Minho.
    4. Fleissig, Adrian R. & Jones, Barry E., 2015. "The impact of commercial sweeping on the demand for monetary assets during the Great Recession," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 412-422.
    5. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    6. William Barnett & Marcelle Chauvet, 2009. "International Financial Aggregation and Index Number Theory: A Chronological Half-century Empirical Overview," Open Economies Review, Springer, vol. 20(1), pages 1-37, February.
    7. Hachmi Ben Ameur & Fredj Jawadi & Abdoulkarim Idi Cheffou & Wael Louhichi, 2018. "Measurement errors in stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 287-306, March.
    8. Richard G. Anderson & Marcelle Chauvet & Barry Jones, 2015. "Nonlinear Relationship Between Permanent and Transitory Components of Monetary Aggregates and the Economy," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 228-254, February.
    9. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
    10. Ryan S. Mattson & Philippe de Peretti, 2014. "Investigating the Role of Real Divisia Money in Persistence-Robust Econometric Models," Working Papers hal-00984827, HAL.
    11. Chin-Hong, Puah & Lee-Chea, Hiew, 2010. "Financial Liberalization, Weighted Monetary Aggregates and Money Demand in Indonesia," MPRA Paper 31731, University Library of Munich, Germany.
    12. Barnett, William A. & Chauvet, Marcelle, 2008. "The End of the Great Moderation: “We told you so.”," MPRA Paper 11642, University Library of Munich, Germany.
    13. Fredj Jawadi & Ricardo M. Sousa, 2012. "Consumption and Wealth in the US, the UK and the Euro Area:A Nonlinear Investigation," NIPE Working Papers 24/2012, NIPE - Universidade do Minho.

  19. Marcelle Chauvet & James D. Hamilton, 2005. "Dating Business Cycle Turning Points," NBER Working Papers 11422, National Bureau of Economic Research, Inc.

    Cited by:

    1. Boss, Alfred & Dovern, Jonas & Meier, Carsten-Patrick & Scheide, Joachim, 2008. "Deutsche Konjunktur: leichte Rezession absehbar," Open Access Publications from Kiel Institute for the World Economy 28638, Kiel Institute for the World Economy (IfW Kiel).
    2. Sarah Arndt & Zeno Enders, 2023. "The Transmission of Supply Shocks in Different Inflation Regimes," CESifo Working Paper Series 10839, CESifo.
    3. Paap, R. & Segers, R. & van Dijk, D.J.C., 2007. "Do leading indicators lead peaks more than troughs?," Econometric Institute Research Papers EI 2007-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    119. Ng, Eric C.Y., 2012. "Forecasting US recessions with various risk factors and dynamic probit models," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 112-125.
    120. Radhika Pandey & Ila Patnaik & Ajay Shah, 2018. "Business Cycle Measurement in India," Working Papers id:12559, eSocialSciences.
    121. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    122. Kontonikas, Alexandros & MacDonald, Ronald & Saggu, Aman, 2013. "Stock market reaction to fed funds rate surprises: State dependence and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4025-4037.
    123. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    124. Pérez Quirós, Gabriel, 2020. "Global Weakness Index – reading the economy’s vital signs during the COVID-19 crisis," Research Bulletin, European Central Bank, vol. 72.
    125. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    126. Lustig, Hanno & Verdelhan, Adrien, 2012. "Business cycle variation in the risk-return trade-off," Journal of Monetary Economics, Elsevier, vol. 59(S), pages 35-49.
    127. Camarero, Mariam & Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Tamarit, Cecilio, 2021. "Effects of external imbalances on GDP recovery patterns," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 349-362.
    128. Liu, Bin & Xiao, Wen & Zhu, Xingting, 2023. "How does inter-industry spillover improve the performance of volatility forecasting?," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    129. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.
    130. Golosnoy, Vasyl & Hogrefe, Jens, 2009. "Sequential methodology for signaling business cycle turning points," Kiel Working Papers 1528, Kiel Institute for the World Economy (IfW Kiel).
    131. Cenesizoglu, Tolga, 2011. "Size, book-to-market ratio and macroeconomic news," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 248-270, March.
    132. James B. Bullard, 2016. "A New Characterization of the U.S. Macroeconomic and Monetary Policy Outlook : a speech at the Society of Business Economists Annual Dinner, London, United Kingdom, June 30, 2016," Speech 271, Federal Reserve Bank of St. Louis.
    133. Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.
    134. Gabriel Pérez-Quiros & Maximo Camacho & Pilar Poncela, 2010. "Green Shoots? Where, when and how?," Working Papers 2010-04, FEDEA.
    135. Feng, Shuaizhang & Sun, Jiandong, 2020. "Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession," IZA Discussion Papers 13168, Institute of Labor Economics (IZA).
    136. Tolga Cenesizoglu, 2010. "Size, Book-to-Market Ratio and Macroeconomic News," Cahiers de recherche 1033, CIRPEE.
    137. Soybilgen, Baris, 2018. "Identifying US business cycle regimes using dynamic factors and neural network models," MPRA Paper 94715, University Library of Munich, Germany.
    138. Kucher, Oleg & Kurov, Alexander, 2014. "Business cycle, storage, and energy prices," Review of Financial Economics, Elsevier, vol. 23(4), pages 217-226.
    139. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    140. Urga, Giovanni & Wang, Fa, 2022. "Estimation and Inference for High Dimensional Factor Model with Regime Switching," MPRA Paper 117012, University Library of Munich, Germany, revised 10 Apr 2023.
    141. Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020. "Equity Premium Prediction and the State of the Economy," Working Paper series 20-16, Rimini Centre for Economic Analysis.
    142. Sven Klingler & Suresh Sundaresan, 2018. "An explanation of negative swap spreads: demand for duration from underfunded pension plans," BIS Working Papers 705, Bank for International Settlements.
    143. Mihoci, Andrija & Althof, Michael & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2019. "FRM Financial Risk Meter," IRTG 1792 Discussion Papers 2019-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    144. Natalia Ponomareva & Jeffrey Sheen & Ben Zhe Wang, 2019. "The common component of bilateral US exchange rates: to what is it related?," Empirical Economics, Springer, vol. 56(4), pages 1251-1268, April.
    145. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised May 2024.
    146. Lealand Morin & Ying Shang, 2021. "Federal Reserve policy after the zero lower bound: an indirect inference approach," Empirical Economics, Springer, vol. 60(4), pages 2105-2124, April.
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    148. Guo, Haifeng & Hung, Chi-Hsiou D. & Kontonikas, Alexandros, 2022. "The Fed and the stock market: A tale of sentiment states," Journal of International Money and Finance, Elsevier, vol. 128(C).
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    151. Christopher G. Gibbs, 2015. "Overcoming the Forecast Combination Puzzle: Lessons from the Time-Varying Effciency of Phillips Curve Forecasts of U.S. Inflation," Discussion Papers 2015-09, School of Economics, The University of New South Wales.
    152. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
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    154. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
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  21. Marcelle Chauvet & Jeremy M. Piger, 2002. "Identifying business cycle turning points in real time," FRB Atlanta Working Paper 2002-27, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Don Harding & Adrian Pagan, 2006. "Measurement of Business Cycles," Department of Economics - Working Papers Series 966, The University of Melbourne.
    2. Laurent Ferrara & Dominique Guégan, 2006. "Detection of the Industrial Business Cycle using SETAR Models," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
    3. 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.
    4. Amélie Charles & Olivier Darné & Claude Diebolt & Laurent Ferrara, 2012. "A new monthly chronology of the US industrial cycles in the prewar economy," Working Papers 12-02, Association Française de Cliométrie (AFC).
    5. Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 46642, University Library of Munich, Germany.
    6. Fok, D. & van Dijk, D.J.C. & Franses, Ph.H.B.F., 2004. "Forecasting aggregates using panels of nonlinear time series," Econometric Institute Research Papers EI 2004-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    8. Michael Owyang & Jeremy Piger & Howard Wall, 2011. "Discordant City Employment Cycles," ERSA conference papers ersa11p1525, European Regional Science Association.
    9. Benoit Bellone, 2004. "Une lecture probabiliste du cycle d’affaires américain," Econometrics 0407002, University Library of Munich, Germany, revised 28 Mar 2005.
    10. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    11. Viv B. Hall & C. John McDermott, 2006. "The New Zealand Business Cycle: Return To Golden Days?," CAMA Working Papers 2006-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Medhioub, Imed, 2007. "Asymétrie des cycles économiques et changement de régimes : cas de la Tunisie," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 529-553, décembre.
    13. 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.
    14. Jeremy J. Nalewaik, 2006. "Estimating probabilities of recession in real time using GDP and GDI," Finance and Economics Discussion Series 2007-07, Board of Governors of the Federal Reserve System (U.S.).
    15. Dean Croushore, 2008. "Frontiers of real-time data analysis," Working Papers 08-4, Federal Reserve Bank of Philadelphia.
    16. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    17. James Morley & Jeremy Piger, 2006. "The Importance of Nonlinearity in Reproducing Business Cycle Features," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 75-95, Emerald Group Publishing Limited.
    18. Huang, Yu-Lieh, 2012. "Measuring business cycles: A temporal disaggregation model with regime switching," Economic Modelling, Elsevier, vol. 29(2), pages 283-290.
    19. Monica Billio & Roberto Casarin, 2010. "Identifying business cycle turning points with sequential Monte Carlo methods: an online and real-time application to the Euro area," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 145-167.
    20. Ferrara, Laurent & Darné, Olivier, 2009. "Identification of slowdowns and accelerations for the euro area economy," CEPR Discussion Papers 7376, C.E.P.R. Discussion Papers.
    21. Al-Anaswah, Nael & Wilfling, Bernd, 2011. "Identification of speculative bubbles using state-space models with Markov-switching," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1073-1086, May.
    22. Charlotte Le Chapelain, 2012. "Allocation des talents et accumulation de capital humain en France à la fin du XIXe siècle," Working Papers 12-03, Association Française de Cliométrie (AFC).
    23. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2005. "The 2001 recession and the states of the Eighth Federal Reserve District," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 3-16.
    24. Bram van Os & Dick van Dijk, 2020. "Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model," Tinbergen Institute Discussion Papers 20-057/VI, Tinbergen Institute, revised 14 Dec 2020.
    25. Kevin L. Kliesen, 2003. "The 2001 recession: how was it different and what developments may have caused it?," Review, Federal Reserve Bank of St. Louis, vol. 85(Sep), pages 23-38.
    26. Vincent, BODART & Konstantin A., KHOLODILIN & Fati, SHADMAN-MEHTA, 2003. "Dating and Forecasting the Belgian Business Cycle," LIDAM Discussion Papers IRES 2003018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    27. James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
    28. Rolando Peláez, 2005. "Dating Business-Cycle turning points," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 29(1), pages 127-137, March.
    29. Marie Adanero-Donderis & Olivier Darné & Laurent Ferrara, 2009. "Un indicateur probabiliste du cycle d’accélération pour l’économie française," Économie et Prévision, Programme National Persée, vol. 189(3), pages 95-114.
    30. Cheng Jiang, 2018. "The Asymmetric Effects of Monetary Policy on Stock Market," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-27, September.
    31. Sumru Altuğ & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Working Papers 0032, Yildiz Technical University, Department of Economics, revised Mar 2010.
    32. Lee, Kevin & Shields, Kalvinder K., 2011. "Decision-making in hard times: What is a recession, why do we care and how do we know when we are in one?," The North American Journal of Economics and Finance, Elsevier, vol. 22(1), pages 43-60, January.
    33. Benoit Bellone & David Saint-Martin, 2004. "Detecting Turning Points with Many Predictors through Hidden Markov Models," Econometrics 0407001, University Library of Munich, Germany.
    34. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    35. Gamber, Edward N. & Liebner, Jeffrey P., 2017. "Comment on “How Biased are US Government Forecasts of the Federal Debt?”," International Journal of Forecasting, Elsevier, vol. 33(2), pages 560-562.
    36. Ferrara, Laurent, 2006. "A real-time recession indicator for the Euro area," MPRA Paper 4042, University Library of Munich, Germany.
    37. Lazzarini, S. G. & Madalozzo, R. C & Artes, R. & Siqueira, J. O., 2004. "Measuring trust: An experiment in Brazil," Insper Working Papers wpe_42, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    38. Laurent Ferrara & Dominique Guegan, 2006. "Real-time detection of the business cycle using SETAR models," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185372, HAL.
    39. Vincent, BODART & Konstantin, KHOLODILIN & Fati, SHADMAN-MEHTA, 2005. "Identifying and Forecasting the Turning Points of the Belgian Business Cycle with Regime-Switching and Logit Models," Discussion Papers (ECON - Département des Sciences Economiques) 2005006, Université catholique de Louvain, Département des Sciences Economiques.
    40. Kierzenkowski, R. & Oung, V., 2007. "L’évolution des crédits à l’habitat en France : une grille d’analyse en termes de cycles," Working papers 172, Banque de France.
    41. Jamol Bahromov, 2022. "Regime-switching empirical similarity model: a comparison with baseline models," Empirical Economics, Springer, vol. 63(5), pages 2655-2674, November.
    42. Döpke, Jörg, 2004. "Real-time data and business cycle analysis in Germany," Discussion Paper Series 1: Economic Studies 2004,11, Deutsche Bundesbank.
    43. Ana Beatriz C. Galvao, 2006. "Structural break threshold VARs for predicting US recessions using the spread," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 463-487.
    44. Dias, Maria Helena Ambrosio & Dias, Joilson, 2010. "Measuring the Cyclical Component of a Time Series: a New Proposed Methodology," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(1), October.
    45. Mile Bosnjak, 2017. "Structural Change In Croatian Real Gdp Growth Rates," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 26(1), pages 205-218, june.
    46. Ana Beatriz C. Galvão, 2006. "Structural break threshold VARs for predicting US recessions using the spread," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 463-487, May.
    47. Lee, Tsung-Hsien Michael & Chen, Wenjuan, 2015. "Is there an asymmetric impact of housing on output?," SFB 649 Discussion Papers 2015-020, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    48. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    49. Adanero-Donderis , M. & Darné, O. & Ferrara, L., 2007. "Deux indicateurs probabilistes de retournement cyclique pour l’économie française," Working papers 187, Banque de France.
    50. Benoit Bellone, 2004. "MSVARlib: a new Gauss library to estimate multivariate Hidden Markov Models," Econometrics 0406004, University Library of Munich, Germany.
    51. Monica Billio & Roberto Casarin, 2008. "Identifying Business Cycle Turning Points with Sequential Monte Carlo Methods," Working Papers 0815, University of Brescia, Department of Economics.

  22. Marcelle Chauvet & Elcyon C. R. Lima & Brisne Vasquez, 2002. "Forecasting Brazilian output in the presence of breaks: a comparison of linear and nonlinear models," FRB Atlanta Working Paper 2002-28, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Roberto Tatiwa Ferreira & Herman Bierens & Ivan Castelar, 2005. "Forecasting Quarterly Brazilian GDP Growth Rate With Linear and NonLinear Diffusion Index Models," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 6(3), pages 261-292.
    2. Igor Alexandre Clemente de Morais & Marcelo Savino Portugal, 2003. "Business Cycle in the Industrial Production of Brazilian States," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e75, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Patrick T. kanda & Mehmet Balcilar & Pejman Bahramian & Rangan Gupta, 2014. "Forecasting South African Inflation Using Non-Linear Models: A Weighted Loss-Based Evaluation," Working Papers 201416, University of Pretoria, Department of Economics.
    4. M. Portugal & I.A. de Morais, 2004. "STRUCTURAL CHANGE IN THE BRAZILIAN DEMAND FOR IMPORTS: A regime switching approach," Econometric Society 2004 Latin American Meetings 346, Econometric Society.

  23. Marcelle Chauvet & Simon M. Potter, 2001. "Recent changes in the U.S. business cycle," Staff Reports 126, Federal Reserve Bank of New York.

    Cited by:

    1. Drew Creal & Siem Jan Koopman & Eric Zivot, 2008. "The Effect of the Great Moderation on the U.S. Business Cycle in a Time-varying Multivariate Trend-cycle Model," Tinbergen Institute Discussion Papers 08-069/4, Tinbergen Institute.
    2. Marcelle Chauvet, 2001. "The Brazilian Economic Fluctuations," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 033, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. M Sensier & D van Dijk, 2001. "Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series," Centre for Growth and Business Cycle Research Discussion Paper Series 08, Economics, The University of Manchester.
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    95. Francis Bismans & Reynald Majetti, 2013. "Forecasting recessions using financial variables: the French case," Empirical Economics, Springer, vol. 44(2), pages 419-433, April.
    96. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    97. Abdul Majid, Muhamed Zulkhibri, 2011. "Predicting Output and Inflation in Less Developed Financial Markets Using the Yield Curve: Evidence from Malaysia," MPRA Paper 29039, University Library of Munich, Germany.
    98. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    99. Jean-Baptiste Hasse & Christelle Lecourt & Souhila Siagh, 2024. "Setting up a Sovereign Wealth Fund to Reduce Currency Crises," AMSE Working Papers 2417, Aix-Marseille School of Economics, France.
    100. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    101. Andreas Psimopoulos, 2020. "Forecasting Economic Recessions Using Machine Learning:An Empirical Study in Six Countries," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 18(1), pages 40-99.
    102. Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," LIDAM Discussion Papers ISBA 2013052, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    103. David C. Wheelock & Mark E. Wohar, 2009. "Can the term spread predict output growth and recessions? a survey of the literature," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 419-440.
    104. Morais, Igor Alexandre C. & Chauvet, Marcelle, 2011. "Leading Indicators for the Capital Goods Industry," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.
    105. Willem Boshoff, 2005. "The properties of cycles in South African financial variables and their relation to the business cycle," Working Papers 02/2005, Stellenbosch University, Department of Economics.
    106. Lili Hao & Eric C.Y. Ng, 2011. "Predicting Canadian recessions using dynamic probit modelling approaches," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(4), pages 1297-1330, November.
    107. Projektgruppe Gemeinschaftsdiagnose, 2010. "Gemeinschaftsdiagnose Herbst 2010: Deutschland im Aufschwung – Wirtschaftspolitik vor wichtigen Entscheidungen," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(20), pages 03-61, October.
    108. Reyna Cerecero Mario & Salazar Cavazos Diana & Salgado Banda Héctor, 2008. "The Yield Curve and its Relation with Economic Activity: The Mexican Case," Working Papers 2008-15, Banco de México.

  25. Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.

    Cited by:

    1. Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
    2. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.
    3. Mili, Mehdi & Sahut, Jean-Michel & Teulon, Frédéric, 2012. "Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence," Economic Modelling, Elsevier, vol. 29(3), pages 734-741.
    4. Maximo Camacho, 2004. "Vector smooth transition regression models for US GDP and the composite index of leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 173-196.
    5. Jean-michel Sahut & Medhi Mili & Frédéric Teulon, 2012. "What is the linkage between real growth in the Euro area and global financial market conditions?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2464-2480.
    6. José Cancelo, 2007. "Cyclical Asymmetries in Unemployment Rates: International Evidence," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 13(3), pages 334-346, August.
    7. Hamilton, James D., 2003. "Comment on "A comparison of two business cycle dating methods"," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1691-1693, July.
    8. Marianna Oliskevych & Iryna Lukianenko, 2020. "European unemployment nonlinear dynamics over the business cycles: Markov switching approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 22(4), pages 375-401.

  26. Marcelle Chauvet, 2000. "Leading Indicators of Inflation for Brazil," Working Papers Series 7, Central Bank of Brazil, Research Department.

    Cited by:

    1. Charles Lima de Almeida & Marco Aurélio Peres & Geraldo da Silva & Souza & Benjamin Miranda Tabak, 2003. "Optimal Monetary Rules: The Case of Brazil," Working Papers Series 63, Central Bank of Brazil, Research Department.
    2. Tito Nícias Teixeira da Silva Filho, 2001. "Estimando o Produto Potencial Brasileiro: Uma Abordagem de Função de Produção," Working Papers Series 17, Central Bank of Brazil, Research Department.
    3. Barbara Alemanni & José Renato Haas Ornelas, 2006. "Herding Behavior by Equity Foreign Investors on Emerging Markets," Working Papers Series 125, Central Bank of Brazil, Research Department.
    4. Alexandre A. Tombini & Sergio A. Lago Alves, 2006. "The Recent Brazilian Disinflation Process and Costs," Working Papers Series 109, Central Bank of Brazil, Research Department.
    5. Flávia Mourão Graminho, 2006. "A Neoclassical Analysis of the Brazilian "Lost-Decades"," Working Papers Series 123, Central Bank of Brazil, Research Department.
    6. Ricardo Schechtman, 2007. "Joint Validation of Credit Rating PDs under Default Correlation," Working Papers Series 149, Central Bank of Brazil, Research Department.
    7. Mr. Daniel Leigh & Mr. Marco Rossi, 2002. "Leading Indicators of Growth and Inflation in Turkey," IMF Working Papers 2002/231, International Monetary Fund.
    8. Arminio Fraga & Ilan Goldfajn & André Minella, 2003. "Inflation Targeting in Emerging Market Economies," Working Papers Series 76, Central Bank of Brazil, Research Department.
    9. Araújo, Aloísio Pessoa de & Leon, Márcia Saraiva, 2003. "Speculative attacks on debts and optimum currency area: a welfare analysis," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 514, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    10. Correa, Arnildo da Silva & Minella, André, 2010. "Nonlinear mechanisms of the exchange rate pass-through: A Phillips curve model with threshold for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(3), September.
    11. Tarsila Segalla Afanasieff & Priscilla Maria Villa Lhacer & Márcio Issao Nakane, 2001. "The Determinants of Bank Interest Spread in Brazil," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 051, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Márcio I. Nakane & Leonardo S. Alencar & Fabio Kanczuk, 2006. "Demand for Bank Services and Market Power in Brazilian Banking," Working Papers Series 107, Central Bank of Brazil, Research Department.
    13. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    14. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    15. Pedro Fachada, 2001. "Inflation Targeting in Brazil: Reviewing Two Years of Monetary Policy 1999/00," Working Papers Series 25, Central Bank of Brazil, Research Department.
    16. Sergio R. S. Souza & Benjamin M. Tabak & Daniel O. Cajueiro, 2008. "Long-Range Dependence In Exchange Rates: The Case Of The European Monetary System," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 199-223.
    17. Mauricio S. Bugarin & Fabia A. de Carvalho, 2005. "Comment on ‘Market discipline and monetary policy’ by Carl Walsh," Oxford Economic Papers, Oxford University Press, vol. 57(4), pages 732-739, October.
    18. Maria da Glória D. S. Araújo & Mirta Bugarin & Marcelo Kfoury Muinhos & Jose Ricardo C. Silva, 2006. "The Effect of Adverse Supply Shocks on Monetary Policy and Output," Working Papers Series 103, Central Bank of Brazil, Research Department.
    19. Victorio Yi Tson Chu, 2002. "Credit Channel with Sovereign Credit Risk: an Empirical Test," Working Papers Series 51, Central Bank of Brazil, Research Department.
    20. Arruda, Elano Ferreira & Ferreira, Roberto Tatiwa & Castelar, Ivan, 2011. "Modelos Lineares e Não Lineares da Curva de Phillips para Previsão da Taxa de Inflação no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 65(3), September.
    21. Angelo Marsiglia Fasolo, 2006. "Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets," Working Papers Series 112, Central Bank of Brazil, Research Department.
    22. Tito Nícias Teixeira da Silva Filho, 2001. "Uma Definição Operacional de Estabilidade de Preços," Working Papers Series 35, Central Bank of Brazil, Research Department.
    23. Benjamin M. Tabak, 2006. "The Dynamic Relationship between Stock Prices and Exchange Rates: evidence for Brazil," Working Papers Series 124, Central Bank of Brazil, Research Department.
    24. Solange Gouvea, 2007. "Price Rigidity in Brazil: Evidence from CPI Micro Data," Working Papers Series 143, Central Bank of Brazil, Research Department.
    25. Marcelo Y. Takami & Benjamin M. Tabak, 2007. "Evaluation of Default Risk for The Brazilian Banking Sector," Working Papers Series 135, Central Bank of Brazil, Research Department.
    26. Gilneu F. A. Vivan & Benjamin M. Tabak, 2007. "A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives," Working Papers Series 133, Central Bank of Brazil, Research Department.
    27. Marta Areosa & Waldyr Areosa, 2006. "The Inequality Channel of Monetary Transmission," Working Papers Series 114, Central Bank of Brazil, Research Department.
    28. Mirta Noemí Sataka Bugarin & Roberto de Goes Ellery Jr. & Victor Gomes Silva & Marcelo Kfoury Muinhos, 2005. "Steady State Analysis of an Open Economy General Equilibrium Model for Brazil," Working Papers Series 92, Central Bank of Brazil, Research Department.
    29. Marcelo Kfoury Muinhos & Márcio I. Nakane, 2006. "Comparing equilibrium real interest rates: different approaches to measure Brazilian rates," Working Papers Series 101, Central Bank of Brazil, Research Department.
    30. Jaqueline Terra Moura Marins & Eduardo Saliby & Joséte Florencio do Santos, 2006. "Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling," Working Papers Series 116, Central Bank of Brazil, Research Department.
    31. Leonardo Soriano de Alencar & Márcio I. Nakane, 2004. "Bank Competition, Agency Costs and the Performance of the Monetary Policy," Working Papers Series 81, Central Bank of Brazil, Research Department.
    32. Aloísio P. Araújo & José Valentim M. Vicente, 2006. "Contagion, Bankruptcy and Social Welfare Analysis in a Financial Economy with Risk Regulation Constraint," Working Papers Series 118, Central Bank of Brazil, Research Department.
    33. Eui Jung Chang & Marcelo Kfoury Muinhos & Joanílio Rodolpho Teixeira, 2002. "Macroeconomic Coordination and Inflation Targeting in a Two-Country Model," Working Papers Series 50, Central Bank of Brazil, Research Department.
    34. Leonardo Soriano de Alencar & Márcio I. Nakane, 2003. "Real Balances in the Utility Function: Evidence for Brazil," Working Papers Series 68, Central Bank of Brazil, Research Department.
    35. Benjamin Miranda Tabak, 2003. "Monetary Policy Surprises and the Brazilian Term Structure of Interest Rates," Working Papers Series 70, Central Bank of Brazil, Research Department.
    36. Rodrigo Andrés de Souza Peñaloza, 2003. "On Shadow-Prices of Banks in Real-Time Gross Settlement Systems," Working Papers Series 71, Central Bank of Brazil, Research Department.
    37. Paulo Coutinho & Benjamin Miranda Tabak, 2002. "Delegated Portfolio Management," Working Papers Series 60, Central Bank of Brazil, Research Department.
    38. Benjamin Miranda Tabak, 2003. "On the Information Content of Oil Future Prices," Working Papers Series 65, Central Bank of Brazil, Research Department.
    39. Benjamin Miranda Tabak. Solange Maria Guerra, 2002. "Stock Returns and Volatility," Working Papers Series 54, Central Bank of Brazil, Research Department.
    40. André Soares Loureiro & Fernando de Holanda Barbosa, 2004. "Risk Premia for Emerging Markets Bonds: Evidence from Brazilian Government Debt, 1996-2002," Working Papers Series 85, Central Bank of Brazil, Research Department.
    41. Ana Carla A. Costa & João M. P. de Mello, 2006. "Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans," Working Papers Series 102, Central Bank of Brazil, Research Department.

  27. Marcelle Chauvet & Simon M. Potter, 1999. "Nonlinear risk," Staff Reports 61, Federal Reserve Bank of New York.

    Cited by:

    1. Simon M. Potter, 1999. "Nonlinear impulse response functions," Staff Reports 65, Federal Reserve Bank of New York.
    2. Peter N Smith & Steffen Sorensen & Mike Wickens, 2007. "The Asymmetric Effect of the Business Cycle on the Equity Premium (This is an extensively revised version of earlier paper No. 06/04)," Discussion Papers 07/11, Department of Economics, University of York.
    3. Piotr Płuciennik, 2012. "The Impact of the World Financial Crisis on the Polish Interbank Market: A Swap Spread Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(4), pages 269-288, December.
    4. Wickens, Michael R. & Smith, Peter N & Sorensen, Steffen, 2009. "The Equity Premium and the Business Cycle: the Role of Demand and Supply Shocks," CEPR Discussion Papers 7227, C.E.P.R. Discussion Papers.
    5. Francisco Peñaranda, 2004. "Are Vector Autoregressions an Accurate Model for Dynamic Asset Allocation?," Working Papers wp2004_0419, CEMFI.
    6. Simon Potter, 1999. "Nonlinear Time Series Modelling: An Introduction," Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
    7. Blake LeBaron, 1994. "Chaos and Nonlinear Forecastability in Economics and Finance," Finance 9411001, University Library of Munich, Germany.
    8. Vit Posta, 2012. "Time-Varying Risk Premium in the Czech Capital Market: Did the Market Experience a Structural Shock in 2008–2009?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 450-470, November.
    9. Nyberg, Henri, 2010. "QR-GARCH-M Model for Risk-Return Tradeoff in U.S. Stock Returns and Business Cycles," MPRA Paper 23724, University Library of Munich, Germany.
    10. Chauvet, Marcelle & Potter, Simon, 2000. "Coincident and leading indicators of the stock market," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 87-111, May.
    11. Potter, Simon M, 1995. "A Nonlinear Approach to US GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 109-125, April-Jun.
    12. Franz Alonso Hamann S., 1996. "Puede Explicarse El Precio Externo Del Café Con Un Modelo Econometrico No Lineal?," Borradores de Economia 3408, Banco de la Republica.
    13. Hansen,B.E., 1999. "Testing for linearity," Working papers 7, Wisconsin Madison - Social Systems.
    14. Lokshin, Michael & Ravallion, Martin, 2000. "Short-lived shocks with long-lived impacts? - household income dynamics in a transition economy," Policy Research Working Paper Series 2459, The World Bank.
    15. Han, Yufeng, 2012. "State uncertainty in stock markets: How big is the impact on the cost of equity?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2575-2592.

Articles

  1. Luckas Sabioni Lopes & Marcelle Chauvet & João Eustáquio Lima, 2018. "The end of Brazilian big inflation: lessons to monetary policy from a standard New Keynesian model," Empirical Economics, Springer, vol. 55(4), pages 1475-1505, December.

    Cited by:

    1. Cunha, Felipe Arias Fogliano de Souza & Meira, Erick & Orsato, Renato J. & Klotzle, Marcelo Cabus & Lucena, André F.P., 2021. "Do low-carbon investments in emerging economies pay off? Evidence from the Brazilian stock market," International Review of Financial Analysis, Elsevier, vol. 74(C).
    2. Lila J. Truett & Dale B. Truett, 2023. "The impacts of imports and trade liberalization in Brazil: Insights from an aggregate cost function," Review of Development Economics, Wiley Blackwell, vol. 27(2), pages 1013-1033, May.
    3. Francisco J. S. Rocha & Marcos R. V. Magalhaes & Ã tila Amaral Brilhante, 2022. "A BVAR Analysis on Channels of Monetary Policy Transmission in Brazil," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(3), pages 1-19, February.

  2. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.

    Cited by:

    1. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Mark E. Wohar, 2020. "Mortgage Default Risks and High-Frequency Predictability of the U.S. Housing Market: A Reconsideration," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 26(2), pages 111-117, December.
    2. Xudong An & Stuart A. Gabriel & Nitzan Tzur-Ilan, 2022. "More Than Shelter: The Effects of Rental Eviction Moratoria on Household Well-Being," Working Papers 22-10, Federal Reserve Bank of Philadelphia.
    3. Damian S. Damianov & Diego Escobari, 2021. "Getting on and Moving Up the Property Ladder: Real Hedging in the U.S. Housing Market Before and After the Crisis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1201-1237, December.
    4. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    5. Christos Bouras & Christina Christou & Rangan Gupta & Keagile Lesame, 2020. "Forecasting State- and MSA-Level Housing Returns of the US: The Role of Mortgage Default Risks," Working Papers 202037, University of Pretoria, Department of Economics.
    6. González-Fernández, Marcos & Trujillo, Francisco José Sáez & González-Velasco, Carmen, 2024. "Fixed vs. adjustable-rate mortgages and attention," Finance Research Letters, Elsevier, vol. 62(PA).
    7. Rivera-Castro, Miguel A. & Ugolini, Andrea & Arismendi Zambrano, Juan, 2018. "Tail systemic risk and contagion: Evidence from the Brazilian and Latin America banking network," Emerging Markets Review, Elsevier, vol. 35(C), pages 164-189.
    8. Damian Damianov & Cheng Yan & Xiangdong Wang, 2018. "Measures of mortgage default risk and local house price dynamics ," ERES eres2018_163, European Real Estate Society (ERES).
    9. Lazarov, Vladimir & Hinterschweiger, Marc, 2018. "Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets," Bank of England working papers 760, Bank of England.
    10. Ahlfeldt, Gabriel M. & Barr, Jason, 2022. "Viewing urban spatial history from tall buildings," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    11. Massimiliano Marcellino & Dalibor Stevanovic, 2022. "The demand and supply of information about inflation," Working Papers 22-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2022.
    12. Ji, Qiang & Gupta, Rangan & Bekun, Festus Victor & Balcilar, Mehmet, 2019. "Spillover of mortgage default risks in the United States: Evidence from metropolitan statistical areas and states," The Journal of Economic Asymmetries, Elsevier, vol. 19(C), pages 1-1.
    13. Simon Oehler, 2019. "Developments in the residential mortgage market in Germany – what can Google data tell us?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    14. Mikhail Stolbov & Maria Shchepeleva, 2023. "Sentiment-based indicators of real estate market stress and systemic risk: international evidence," Annals of Finance, Springer, vol. 19(3), pages 355-382, September.
    15. Elster, Yael & Zussman, Asaf & Zussman, Noam, 2017. "Rockets: The housing market effects of a credible terrorist threat," Journal of Urban Economics, Elsevier, vol. 99(C), pages 136-147.
    16. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    17. David Coble & Pablo Pincheira, 2021. "Forecasting building permits with Google Trends," Empirical Economics, Springer, vol. 61(6), pages 3315-3345, December.
    18. Shulin Shen & Yiyi Zhao & Jindong Pang, 2024. "Local Housing Market Sentiments and Returns: Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 68(3), pages 488-522, April.
    19. Stuart A. Gabriel & Matteo Iacoviello & Chandler Lutz, 2020. "A Crisis of Missed Opportunities? Foreclosure Costs and Mortgage Modification During the Great Recession," Finance and Economics Discussion Series 2020-053, Board of Governors of the Federal Reserve System (U.S.).
    20. Su, Chi-Wei & Cai, Xu-Yu & Qin, Meng & Tao, Ran & Umar, Muhammad, 2021. "Can bank credit withstand falling house price in China?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 257-267.
    21. Damian S. Damianov & Xiangdong Wang & Cheng Yan, 2021. "Google Search Queries, Foreclosures, and House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 63(2), pages 177-209, August.
    22. Ramya Rajajagadeesan Aroul & Sanjiv Sabherwal & Sergiy Saydometov, 2022. "FEAR Index, city characteristics, and housing returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(1), pages 173-205, March.
    23. Su-Chen Yu & Kuang-Hsun Shih, 2021. "Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies," JRFM, MDPI, vol. 14(9), pages 1-16, September.
    24. Wei‐Fong Pan & James Reade & Shixuan Wang, 2022. "Measuring US regional economic uncertainty," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1149-1178, September.
    25. Jung, Alexander, 2023. "Are monetary policy shocks causal to bank health? Evidence from the euro area," Journal of Macroeconomics, Elsevier, vol. 75(C).

  3. Chauvet, Marcelle & Senyuz, Zeynep, 2016. "A dynamic factor model of the yield curve components as a predictor of the economy," International Journal of Forecasting, Elsevier, vol. 32(2), pages 324-343.

    Cited by:

    1. Junttila, Juha & Vataja, Juuso, 2018. "Economic policy uncertainty effects for forecasting future real economic activity," Economic Systems, Elsevier, vol. 42(4), pages 569-583.
    2. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    3. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction Between Financial and Business Cycles," Working Papers 2017:24, Department of Economics, University of Venice "Ca' Foscari".
    4. Catherine Doz & Peter Fuleky, 2019. "Dynamic Factor Models," Working Papers 2019-4, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    5. Julien Chevallier & Bangzhu Zhu & Lyuyuan Zhang, 2021. "Forecasting Inflection Points: Hybrid Methods with Multiscale Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 537-575, February.
    6. Bram van Os & Dick van Dijk, 2020. "Accelerating Peak Dating in a Dynamic Factor Markov-Switching Model," Tinbergen Institute Discussion Papers 20-057/VI, Tinbergen Institute, revised 14 Dec 2020.
    7. Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
    8. Cendejas Bueno, José Luis, 2023. "Recessions and flattening of the yield curve (1960–2021): A two-way road under a regime switching approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 8-20.
    9. Goodness C. Aye & Christina Christou & Luis A. Gil-Alana & Rangan Gupta, 2016. "Forecasting the Probability of Recessions in South Africa: The Role of Decomposed Term-Spread and Economic Policy Uncertainty," Working Papers 201680, University of Pretoria, Department of Economics.
    10. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
    11. Polat, Onur & Ozkan, Ibrahim, 2019. "Transmission mechanisms of financial stress into economic activity in Turkey," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 395-415.

  4. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.

    Cited by:

    1. Xu, Qifa & Xu, Mengnan & Jiang, Cuixia & Fu, Weizhong, 2023. "Mixed-frequency Growth-at-Risk with the MIDAS-QR method: Evidence from China," Economic Systems, Elsevier, vol. 47(4).
    2. Makram El-Shagi & Kiril Tochkov, 2021. "Divisia Monetary Aggregates for Russia: Money Demand, GDP Nowcasting, and the Price Puzzle," CFDS Discussion Paper Series 2021/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    3. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
    4. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    5. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    6. Abel Rodríguez Tirado & Marcelo Delajara & Federico Hernández Álvarez, 2016. "Nowcasting Mexico’s Short-Term GDP Growth in Real-Time: A Factor Model versus Professional Forecasters," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2016), pages 167-182, October.
    7. Ellington, Michael, 2018. "The case for Divisia monetary statistics: A Bayesian time-varying approach," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 26-41.
    8. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2017. "Markov-Switching Three-Pass Regression Filter," Staff Working Papers 17-13, Bank of Canada.
    9. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    10. Xu Gong & Boqiang Lin, 2021. "Effects of structural changes on the prediction of downside volatility in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1124-1153, July.
    11. Gilbert Mbara, 2017. "Business Cycle Dating after the Great Moderation: A Consistent Two – Stage Maximum Likelihood Method," Working Papers 2017-13, Faculty of Economic Sciences, University of Warsaw.

  5. Richard G. Anderson & Marcelle Chauvet & Barry Jones, 2015. "Nonlinear Relationship Between Permanent and Transitory Components of Monetary Aggregates and the Economy," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 228-254, February.
    See citations under working paper version above.
  6. Chauvet, Marcelle & Senyuz, Zeynep & Yoldas, Emre, 2015. "What does financial volatility tell us about macroeconomic fluctuations?," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 340-360.
    See citations under working paper version above.
  7. Benes, Jaromir & Chauvet, Marcelle & Kamenik, Ondra & Kumhof, Michael & Laxton, Douglas & Mursula, Susanna & Selody, Jack, 2015. "The future of oil: Geology versus technology," International Journal of Forecasting, Elsevier, vol. 31(1), pages 207-221.
    See citations under working paper version above.
  8. Marcelle Chauvet & Jeremy Piger, 2013. "Employment And The Business Cycle," Manchester School, University of Manchester, vol. 81, pages 16-42, October.
    See citations under working paper version above.
  9. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
    See citations under working paper version above.
  10. Chauvet, Marcelle & Potter, Simon, 2010. "Business cycle monitoring with structural changes," International Journal of Forecasting, Elsevier, vol. 26(4), pages 777-793, October.

    Cited by:

    1. Makram El-Shagi & Gregor von Schweinitz, 2016. "Qual VAR revisited: Good forecast, bad story," Journal of Applied Economics, Universidad del CEMA, vol. 19, pages 293-322, November.
    2. , & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," CEPR Discussion Papers 16357, C.E.P.R. Discussion Papers.
    3. Chan, Felix & Pauwels, Laurent L. & Wongsosaputro, Johnathan, 2013. "The impact of serial correlation on testing for structural change in binary choice model: Monte Carlo evidence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 175-189.
    4. 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.
    5. Jiang, Yu & Song, Zhe & Kusiak, Andrew, 2013. "Very short-term wind speed forecasting with Bayesian structural break model," Renewable Energy, Elsevier, vol. 50(C), pages 637-647.
    6. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    7. Baumann, Ursel & Gomez-Salvador, Ramon & Seitz, Franz, 2019. "Detecting turning points in global economic activity," Working Paper Series 2310, European Central Bank.
    8. Morais, Igor Alexandre C. & Chauvet, Marcelle, 2011. "Leading Indicators for the Capital Goods Industry," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.

  11. William Barnett & Marcelle Chauvet, 2009. "International Financial Aggregation and Index Number Theory: A Chronological Half-century Empirical Overview," Open Economies Review, Springer, vol. 20(1), pages 1-37, February.
    See citations under working paper version above.
  12. Barnett, William A. & Chauvet, Marcelle & Tierney, Heather L. R., 2009. "Measurement Error In Monetary Aggregates: A Markov Switching Factor Approach," Macroeconomic Dynamics, Cambridge University Press, vol. 13(S2), pages 381-412, September.
    See citations under working paper version above.
  13. 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.
    See citations under working paper version above.
  14. Marcelle Chauvet & Chengxuan Yu, 2006. "International business cycles: G7 and OECD countries," Economic Review, Federal Reserve Bank of Atlanta, vol. 91(Q 1), pages 43-54.

    Cited by:

    1. Marcelle Chauvet, 2001. "The Brazilian Economic Fluctuations," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 033, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    2. Fabio C. Bagliano & Claudio Morana, 2007. "Business Cycle Comovement in the G-7: Common Shocks or Common Transmission Mechanisms?," Carlo Alberto Notebooks 40, Collegio Carlo Alberto.
    3. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    4. Tara Sinclair & Sinchan Mitra, 2008. "Output Fluctuations in the G-7: An Unobserved Components Approach," Working Papers 2008-04, The George Washington University, Institute for International Economic Policy.
    5. Catherine Doz & Anna Petronevich, 2017. "On the consistency of the two-step estimates of the MS-DFM: a Monte Carlo study," PSE Working Papers halshs-01592863, HAL.
    6. Alessandro Borin & Riccardo Cristadoro & Roberto Golinelli & Giuseppe Parigi, 2012. "Forecasting world output: the rising importance of emerging economies," Temi di discussione (Economic working papers) 853, Bank of Italy, Economic Research and International Relations Area.
    7. Silvia Palasca & Elisabeta Jaba, 2014. "Leading and Lagging Indicators Of the Economic Crisis," Romanian Statistical Review, Romanian Statistical Review, vol. 62(3), pages 31-47, September.
    8. Marcelle Chauvet & Rafael R. S. Guimaraes, 2021. "Transfer Learning for Business Cycle Identification," Working Papers Series 545, Central Bank of Brazil, Research Department.
    9. Roberto Golinelli & Giuseppe Parigi, 2013. "Tracking world trade and GDP in real time," Temi di discussione (Economic working papers) 920, Bank of Italy, Economic Research and International Relations Area.
    10. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    11. Michaelides, Panayotis G. & Papageorgiou, Theofanis, 2012. "On the transmission of economic fluctuations from the USA to EU-15 (1960–2011)," Journal of Economics and Business, Elsevier, vol. 64(6), pages 427-438.

  15. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    See citations under working paper version above.
  16. Marcelle Chauvet & Fang Dong, 2004. "Leading indicators of country risk and currency crises: the Asian experience," Economic Review, Federal Reserve Bank of Atlanta, vol. 89(Q 1), pages 25-37.

    Cited by:

    1. Andrea Cipollini & George Kapetanios, 2005. "Forecasting Financial Crises and Contagion in Asia Using Dynamic Factor Analysis," Working Papers 538, Queen Mary University of London, School of Economics and Finance.
    2. Thangjam Rajeshwar Singh, 2011. "An ordered probit model of an early warning system for predicting financial crisis in India," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 185-201, Bank for International Settlements.
    3. Carolina Arteaga & Carlos Huertas Campos & Sergio Olarte Armenta, 2012. "Índice de Desbalance Macroeconómico," Borradores de Economia 10077, Banco de la Republica.
    4. Christian Aßmann & Jens Boysen-Hogrefe, 2010. "Analysis of current account reversals via regime switching models," Economic Change and Restructuring, Springer, vol. 43(1), pages 21-43, February.
    5. Derrick Reagle & Dominick Salvatore, 2005. "Robustness of Forecasting Financial Crises in Emerging Market Economies with Data Revisions—A Note," Open Economies Review, Springer, vol. 16(2), pages 209-216, April.
    6. Jiranyakul, Komain & Opiela, Timothy, 2014. "Market Discipline at Thai Banks before the Asian Crisis," MPRA Paper 54492, University Library of Munich, Germany.

  17. Chauvet, Marcelle & Guo, Jang-Ting, 2003. "Sunspots, Animal Spirits, And Economic Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 7(1), pages 140-169, February.

    Cited by:

    1. Killian McCarthy & Wilfred Dolfsma, 2009. "Editor's Feature," Journal of Economic Issues, Taylor & Francis Journals, vol. 43(2), pages 531-548.
    2. Harrison, Sharon G. & Weder, Mark, 2002. "Did sunspot cause the Great Depression?," SFB 373 Discussion Papers 2002,35, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. Gabriel Di Bella & Mr. Francesco Grigoli, 2018. "Optimism, Pessimism, and Short-Term Fluctuations," IMF Working Papers 2018/001, International Monetary Fund.
    4. Dajčman Silvo, 2020. "Economic policy and confidence of economic agents – a causal relationship?," Review of Economic Perspectives, Sciendo, vol. 20(4), pages 471-484, December.
    5. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    6. Fehr, Dietmar & Heinemann, Frank & Llorente-Saguer, Aniol, 2011. "The power of sunspots: An experimental analysis," SFB 649 Discussion Papers 2011-070, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    7. Gerunov, Anton, 2013. "Връзка Между Икономическите Очаквания И Стопанската Динамика В Ес-27 [Linkages Between Expectations and Economic Dynamics in EU-27]," MPRA Paper 68795, University Library of Munich, Germany.
    8. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2005. "The European Consumer: United In Diversity?," ERIM Report Series Research in Management ERS-2005-022-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Hamza Bennani, 2020. "Central Bank Communication in the Media and Investor Sentiment," Post-Print hal-02615852, HAL.
    10. Weder, Mark & Harrison, Sharon G, 2002. "Did Sunspot Forces Cause the Great Depression?," CEPR Discussion Papers 3267, C.E.P.R. Discussion Papers.
    11. Juan Carlos Castro Fernández & Juan Carlos Castro Fernández, 2022. "Big Recessions and Slow Recoveries," Documentos de Trabajo UEC 20128, Universidad Externado de Colombia.
    12. Canh P. Nguyen & Christophe Schinckus & Dinh Su Thanh, 2020. "Economic Fluctuations And The Shadow Economy: A Global Study," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-24, September.
    13. Gerasimos T. Soldatos & Erotokritos Varelas, 2015. "A first formal approach to animal spirits beyond uncertainty," European Journal of Government and Economics, Europa Grande, vol. 4(2), pages 104-117, December.
    14. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    15. Gerunov, Anton, 2014. "Критичен Преглед На Основните Подходи За Моделиране На Икономическите Очаквания [A Critical Review of Major Approaches for Modeling Economic Expectations]," MPRA Paper 68797, University Library of Munich, Germany.
    16. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    17. Choy, Keen Meng & Leong, Kenneth & Tay, Anthony S., 2006. "Non-fundamental expectations and economic fluctuations: Evidence from professional forecasts," Journal of Macroeconomics, Elsevier, vol. 28(2), pages 446-460, June.
    18. Roman Horvath, 2012. "Do Confidence Indicators Help Predict Economic Activity? The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(5), pages 398-412, November.
    19. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    20. Abildgren, Kim & Hansen, Niels Lynggård & Kuchler, Andreas, 2018. "Overoptimism and house price bubbles," Journal of Macroeconomics, Elsevier, vol. 56(C), pages 1-14.
    21. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    22. Nadenichek, Jon, 2007. "Consumer confidence and economic stagnation in Japan," Japan and the World Economy, Elsevier, vol. 19(3), pages 338-346, August.

  18. Marcelle Chauvet & Jeremy M. Piger, 2003. "Identifying business cycle turning points in real time," Review, Federal Reserve Bank of St. Louis, vol. 85(Mar), pages 47-61.
    See citations under working paper version above.
  19. Chinhui Juhn & Simon Potter & Marcelle Chauvet, 2002. "Markov switching in disaggregate unemployment rates," Empirical Economics, Springer, vol. 27(2), pages 205-232.
    See citations under working paper version above.
  20. Chauvet, Marcelle & Potter, Simon, 2002. "Predicting a recession: evidence from the yield curve in the presence of structural breaks," Economics Letters, Elsevier, vol. 77(2), pages 245-253, October.

    Cited by:

    1. Jean-Baptiste Hasse & Quentin Lajaunie, 2020. "Does the Yield Curve Signal Recessions? New Evidence from an International Panel Data Analysis," AMSE Working Papers 2013, Aix-Marseille School of Economics, France.
    2. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    3. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    4. Chauvet, Marcelle & Senyuz, Zeynep, 2008. "A Joint Dynamic Bi-Factor Model of the Yield Curve and the Economy as a Predictor of Business Cycles," MPRA Paper 15076, University Library of Munich, Germany, revised Apr 2009.
    5. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    6. Marcelle Chauvet & Zeynep Senyuz, 2012. "A Dynamic Factor Model of the Yield Curve as a Predictor of the Economy," Finance and Economics Discussion Series 2012-32, Board of Governors of the Federal Reserve System (U.S.).
    7. Troy Davig & Aaron Smalter Hall, 2016. "Recession forecasting using Bayesian classification," Research Working Paper RWP 16-6, Federal Reserve Bank of Kansas City.
    8. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    9. Chauvet, Marcelle & Potter, Simon, 2010. "Business cycle monitoring with structural changes," International Journal of Forecasting, Elsevier, vol. 26(4), pages 777-793, October.
    10. Chauvet, Marcelle & Senyuz, Zeynep, 2016. "A dynamic factor model of the yield curve components as a predictor of the economy," International Journal of Forecasting, Elsevier, vol. 32(2), pages 324-343.
    11. Luís Francisco Aguiar & Manuel M. F. Martins & Maria Joana Soares, 2010. "The yield curve and the macro-economy across time and frequencies," NIPE Working Papers 21/2010, NIPE - Universidade do Minho.
    12. Stan Hurn & Peter C. B. Phillips & Shu-Ping Shi, 2016. ""Change Detection and the Causal Impact of the Yield Curve," Cowles Foundation Discussion Papers 2058, Cowles Foundation for Research in Economics, Yale University.
    13. Pauwels, Laurent & Vasnev, Andrey, 2013. "Forecast combination for U.S. recessions with real-time data," Working Papers 02/2013, University of Sydney Business School, Discipline of Business Analytics.
    14. Laurini, Márcio P. & Caldeira, João F., 2016. "A macro-finance term structure model with multivariate stochastic volatility," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 68-90.
    15. Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
    16. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
    17. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    18. Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021. "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
    19. Christophe Bellégo & Laurent Ferrara, 2010. "A factor-augmented probit model for business cycle analysis," EconomiX Working Papers 2010-14, University of Paris Nanterre, EconomiX.
    20. Pirschel, Inske, 2015. "Forecasting Euro Area Recessions in real-time with a mixed-frequency Bayesian VAR," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113031, Verein für Socialpolitik / German Economic Association.
    21. Fabio Moneta, 2005. "Does the Yield Spread Predict Recessions in the Euro Area?," International Finance, Wiley Blackwell, vol. 8(2), pages 263-301, August.

  21. Chauvet, Marcelle, 2002. "The Brazilian Business and Growth Cycles," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 56(1), January.

    Cited by:

    1. João Victor Issler & Hilton Hostalacio Notini & Claudia Fontoura Rodrigues, 2013. "Constructing coincident and leading indices of economic activity for the Brazilian economy," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(2), pages 43-65.
    2. Kholodilin Konstantin A., 2005. "Forecasting the German Cyclical Turning Points: Dynamic Bi-Factor Model with Markov Switching," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(6), pages 653-674, December.
    3. Fathi Elachhab, 2009. "Décrire le cycle économique en Tunisie," Economie & Prévision, La Documentation Française, vol. 0(3), pages 75-92.
    4. Konstantin A. Kholodilin, 2005. "Forecasting the Turns of German Business Cycle: Dynamic Bi-factor Model with Markov Switching," Discussion Papers of DIW Berlin 494, DIW Berlin, German Institute for Economic Research.
    5. André Nunes Maranhão & Nicole Rennó Castro, 2023. "Dissecting Brazilian agriculture business cycles in high-dimensional and time-irregular span contexts," Empirical Economics, Springer, vol. 65(4), pages 1543-1578, October.
    6. Konstantin A. Kholodilin, 2006. "Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies," Discussion Papers of DIW Berlin 554, DIW Berlin, German Institute for Economic Research.
    7. Valerie A. Mueller & Daniel E. Osgood, 2009. "Long‐term consequences of short‐term precipitation shocks: evidence from Brazilian migrant households," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 573-586, September.
    8. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2006. "Não Linearidade Nos Ciclos De Negócios: Modelo Auto-Regressivo “Smooth Transition” Para O Índice Geral De Produção Industrial Brasileiro E Bens De Capital," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 10, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    9. de Morais, Igor Alexandre C. & Portugal, Marcelo Savino, 2005. "A Markov Switching Model for the Brazilian Demand for Imports: Analyzing the Import Substitution Process in Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    10. Issler, João Victor & Notini, Hilton Hostalacio, 2016. "Estimating Brazilian Monthly GDP: a State-Space Approach," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 70(1), March.
    11. Igor Alexandre Clemente de Morais & Marcelo Savino Portugal, 2003. "Business Cycle in the Industrial Production of Brazilian States," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e75, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    12. Silva, Aldy Fernandes da & Weffort, Elionor Farah Jreige & Flores, Eduardo da Silva & Silva, Glauco Peres da, 2014. "Gerenciamento de resultados e crises econômicas no mercado de capitais brasileiro," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 54(3), May.
    13. Fernando H.P.S Mendes & João Frois Caldeira & Guilherme Valle Moura, 2019. "Duration-dependent Markov-switching model: an empirical study for the Brazilian business cycle," Economics Bulletin, AccessEcon, vol. 39(1), pages 676-685.
    14. Dias, Maria Helena Ambrosio & Dias, Joilson, 2010. "Measuring the Cyclical Component of a Time Series: a New Proposed Methodology," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(1), October.
    15. M. Portugal & I.A. de Morais, 2004. "STRUCTURAL CHANGE IN THE BRAZILIAN DEMAND FOR IMPORTS: A regime switching approach," Econometric Society 2004 Latin American Meetings 346, Econometric Society.
    16. Marcelle Chauvet & Elcyon C. R. Lima & Brisne Vasquez, 2002. "Forecasting Brazilian output in the presence of breaks: a comparison of linear and nonlinear models," FRB Atlanta Working Paper 2002-28, Federal Reserve Bank of Atlanta.
    17. Morais, Igor Alexandre C. & Chauvet, Marcelle, 2011. "Leading Indicators for the Capital Goods Industry," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.

  22. Chauvet, Marcelle & Potter, Simon, 2001. "Nonlinear Risk," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 621-646, September.
    See citations under working paper version above.
  23. Marcelle Chauvet & Simon Potter, 2001. "Recent Changes in the US Business Cycle," Manchester School, University of Manchester, vol. 69(5), pages 481-508, October.
    See citations under working paper version above.
  24. Chauvet, Marcelle, 2001. "A Monthly Indicator of Brazilian GDP," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(1), May.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Barnett, William A. & Chauvet, Marcelle & Tierney, Heather L. R., 2008. "Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach," MPRA Paper 10179, University Library of Munich, Germany.
    3. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.
    4. Issler, Joao Victor & Notini, Hilton & Rodrigues, Claudia & Soares, Ana Flávia, 2013. "Constructing coincident indices of economic activity for the Latin American economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    5. 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.
    6. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
    7. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    8. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    9. William Barnett & Marcelle Chauvet, 2009. "International Financial Aggregation and Index Number Theory: A Chronological Half-century Empirical Overview," Open Economies Review, Springer, vol. 20(1), pages 1-37, February.
    10. William A. Barnett & Marcelle Chauvetz & Danilo Leiva-Leonx, 2014. "Real-Time Nowcasting Nominal GDP Under Structural Break," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201313, University of Kansas, Department of Economics, revised Feb 2014.
    11. Issler, João Victor & Notini, Hilton Hostalacio, 2016. "Estimating Brazilian Monthly GDP: a State-Space Approach," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 70(1), March.
    12. Moradi, Alireza, 2016. "Modeling Business Cycle Fluctuations through Markov Switching VAR:An Application to Iran," MPRA Paper 73608, University Library of Munich, Germany.
    13. Louise Holm, 2016. "The Swedish business cycle, 1969-2013," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-22.
    14. Barnett, William A. & Chauvet, Marcelle, 2011. "How better monetary statistics could have signaled the financial crisis," Journal of Econometrics, Elsevier, vol. 161(1), pages 6-23, March.
    15. Marcelle Chauvet & Rafael R. S. Guimaraes, 2021. "Transfer Learning for Business Cycle Identification," Working Papers Series 545, Central Bank of Brazil, Research Department.
    16. Izabel Cristina de Lima & Sueli Moro & Frederico Gonzaga Jayme Junior, 2006. "Ciclos E Previsão Cíclica: Um Modelo De Indicadores Antecedentes Para A Economia Brasileira," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 13, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    18. Liu, Bin & Xiao, Wen & Zhu, Xingting, 2023. "How does inter-industry spillover improve the performance of volatility forecasting?," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    19. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.
    20. Barnett, William A. & Chauvet, Marcelle, 2008. "The End of the Great Moderation: “We told you so.”," MPRA Paper 11642, University Library of Munich, Germany.
    21. Sumru Altug & Erhan Uluceviz, 2011. "Leading Indicators of Real Activity and Inflation for Turkey, 2001-2010," Koç University-TUSIAD Economic Research Forum Working Papers 1134, Koc University-TUSIAD Economic Research Forum.
    22. Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," MNB Working Papers 2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    23. Konstantin A., Kholodilin, 2003. "Identifying and Forecasting the Turns of the Japanese Business Cycle," LIDAM Discussion Papers IRES 2003008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    24. Morais, Igor Alexandre C. & Chauvet, Marcelle, 2011. "Leading Indicators for the Capital Goods Industry," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.

  25. Chauvet, Marcelle & Potter, Simon, 2000. "Coincident and leading indicators of the stock market," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 87-111, May.

    Cited by:

    1. Heidari , Hassan & Refah-Kahriz, Arash & Hashemi Berenjabadi, Nayyer, 2018. "Dynamic Relationship between Macroeconomic Variables and Stock Return Volatility in Tehran Stock Exchange: Multivariate MS ARMA GARCH Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(2), pages 223-250, August.
    2. Jia Liu & John M. Maheu & Yong Song, 2024. "Identification and forecasting of bull and bear markets using multivariate returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 723-745, August.
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    201. Vincent, BODART & Konstantin, KHOLODILIN & Fati, SHADMAN-MEHTA, 2005. "Identifying and Forecasting the Turning Points of the Belgian Business Cycle with Regime-Switching and Logit Models," Discussion Papers (ECON - Département des Sciences Economiques) 2005006, Université catholique de Louvain, Département des Sciences Economiques.
    202. Wang, Zanxin & Wei, Wei & Luo, Junwen & Calderon, Margaret, 2019. "The effects of petroleum product price regulation on macroeconomic stability in China," Energy Policy, Elsevier, vol. 132(C), pages 96-105.
    203. Urga, Giovanni & Wang, Fa, 2022. "Estimation and Inference for High Dimensional Factor Model with Regime Switching," MPRA Paper 117012, University Library of Munich, Germany, revised 10 Apr 2023.
    204. Chauvet, Marcelle & Potter, Simon, 2000. "Coincident and leading indicators of the stock market," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 87-111, May.
    205. Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020. "Equity Premium Prediction and the State of the Economy," Working Paper series 20-16, Rimini Centre for Economic Analysis.
    206. Jefferson A. Colombo & Renan X. Cortes & Fernando I. L. Cruz & Luis H. Z. Paese, 2018. "Building State-Level Business Cycle Tracer Tools: Evidence from a Large Emerging Economy," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(5), pages 14-30, May.
    207. Mendoza, Liu & Morales, Daniel, 2013. "Construyendo un índice coincidente de recesión: Una aplicación para la economía peruana," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 81-100.
    208. Monica Billio & Jacques Anas & Laurent Ferrara & Marco Lo Duca, 2007. "Business Cycle Analysis with Multivariate Markov Switching Models," Working Papers 2007_32, Department of Economics, University of Venice "Ca' Foscari".
    209. Cláudio Tadeu Cristino & Piotr Żebrowski & Matthias Wildemeersch, 2020. "Assessing the time intervals between economic recessions," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    210. Chen, Shyh-Wei, 2007. "Measuring business cycle turning points in Japan with the Markov Switching Panel model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 263-270.
    211. Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," MNB Working Papers 2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).
    212. Guo, Xu & Lin, Hai & Wu, Chunchi & Zhou, Guofu, 2022. "Predictive information in corporate bond yields," Journal of Financial Markets, Elsevier, vol. 59(PB).
    213. Lealand Morin & Ying Shang, 2021. "Federal Reserve policy after the zero lower bound: an indirect inference approach," Empirical Economics, Springer, vol. 60(4), pages 2105-2124, April.
    214. Eraslan, Sercan & Nöller, Marvin, 2020. "Recession probabilities falling from the STARs," Discussion Papers 08/2020, Deutsche Bundesbank.
    215. Sungyup Chung, 2016. "Assessing the regional business cycle asymmetry in a multi-level structure framework: a study of the top 20 US MSAs," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(1), pages 229-252, January.
    216. Mile Bosnjak, 2017. "Structural Change In Croatian Real Gdp Growth Rates," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 26(1), pages 205-218, june.
    217. Yoon & Jae Ho, 2004. "Oil and the G7 business cycle : Friedman's Plucking Markov Switching Approach," Econometric Society 2004 Far Eastern Meetings 773, Econometric Society.
    218. Konstantin A., Kholodilin, 2003. "Identifying and Forecasting the Turns of the Japanese Business Cycle," LIDAM Discussion Papers IRES 2003008, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    219. Sun, Jiandong & Feng, Shuaizhang & Hu, Yingyao, 2021. "Misclassification errors in labor force statuses and the early identification of economic recessions," Journal of Asian Economics, Elsevier, vol. 75(C).
    220. Xu, Yahua & Xiao, Jun & Zhang, Liguo, 2020. "Global predictive power of the upside and downside variances of the U.S. equity market," Economic Modelling, Elsevier, vol. 93(C), pages 605-619.
    221. Benoît Bellone, 2006. "Une lecture probabiliste du cycle d’affaires américain," Économie et Prévision, Programme National Persée, vol. 172(1), pages 63-81.
    222. Dovern, Jonas & Gern, Klaus-Jürgen & Meier, Carsten-Patrick & Oskamp, Frank & Sander, Birgit & Scheide, Joachim, 2007. "Weltkonjunktur verliert an Fahrt," Open Access Publications from Kiel Institute for the World Economy 4093, Kiel Institute for the World Economy (IfW Kiel).
    223. Morais, Igor Alexandre C. & Chauvet, Marcelle, 2011. "Leading Indicators for the Capital Goods Industry," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(1), March.
    224. Chen, Shyh-Wei & Shen, Chung-Hua, 2007. "A sneeze in the U.S., a cough in Japan, but pneumonia in Taiwan? An application of the Markov-Switching vector autoregressive model," Economic Modelling, Elsevier, vol. 24(1), pages 1-14, January.
    225. Camacho, Maximo, 2013. "Mixed-frequency VAR models with Markov-switching dynamics," Economics Letters, Elsevier, vol. 121(3), pages 369-373.
    226. Shyh-Wei Chen & Chung-Hua Shen, 2006. "Is there a duration dependence in Taiwan's business cycles?," International Economic Journal, Taylor & Francis Journals, vol. 20(1), pages 109-128.
    227. Harm Bandholz, 2005. "New Composite Leading Indicators for Hungary and Poland," ifo Working Paper Series 3, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    228. Jose Cancelo, 2004. "Modeling the European cycle with factor structure and regime switching," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 10(2), pages 87-99, May.
    229. Kholodilin, K.A., 2002. "Secular Volatility Decline of the U.S. Composite Economic Indicator," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 2(2).
    230. Chauvet, Marcelle, 2001. "A Monthly Indicator of Brazilian GDP," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 21(1), May.

Chapters

  1. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.

    Cited by:

    1. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    2. Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
    3. 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.
    4. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    5. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    6. Ouysse, Rachida, 2016. "Bayesian model averaging and principal component regression forecasts in a data rich environment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 763-787.
    7. Raul Ibarra & Luis M. Gomez-Zamudio, 2017. "Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
    8. Boriss Siliverstovs & Daniel Wochner, 2020. "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," Working Papers 2020/02, Latvijas Banka.
    9. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2015. "Complete subset regressions with large-dimensional sets of predictors," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 86-110.
    10. Kuang-Liang Chang & Nan-Kuang Chen & Charles Ka Yui Leung, 2016. "Losing Track of the Asset Markets: the Case of Housing and Stock," International Real Estate Review, Global Social Science Institute, vol. 19(4), pages 435-492.
    11. Ghulame Rubbaniy & Ali Awais Khalid & Stathis Polyzos & Balqees Naser Almessabi, 2022. "Cyclicality of capital adequacy ratios in heterogeneous environment: A nonlinear panel smooth transition regression explanation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1960-1979, September.
    12. 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.
    13. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model An application to the German business cycle," Munich Reprints in Economics 84736, University of Munich, Department of Economics.
    14. Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015. "Forecasting GDP with global components. This time is different," Working Paper 2015/05, Norges Bank.
    15. Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
    16. Vedolin, Andrea & Maenhout, Pascal & Xing, Hao, 2020. "Generalized Robustness and Dynamic Pessimism," CEPR Discussion Papers 14592, C.E.P.R. Discussion Papers.
    17. William A. Barnett & Marcelle Chauvet & Danilo Leiva-Leon, 2014. "Real-Time Nowcasting of Nominal GDP Under Structural Breaks," Staff Working Papers 14-39, Bank of Canada.
    18. Barnett, William A. & Chauvet, Marcelle & Leiva-Leon, Danilo, 2016. "Real-time nowcasting of nominal GDP with structural breaks," Journal of Econometrics, Elsevier, vol. 191(2), pages 312-324.
    19. Pascal J. Maenhout & Andrea Vedolin & Hao Xing, 2020. "Generalized Robustness and Dynamic Pessimism," NBER Working Papers 26970, National Bureau of Economic Research, Inc.
    20. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    21. Baghestani, Hamid & AbuAl-Foul, Bassam M., 2017. "Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth," Journal of Economics and Business, Elsevier, vol. 89(C), pages 47-56.

  2. William A. Barnett & Marcelle Chauvet, 2011. "International Financial Aggregation and Index Number Theory: A Chronological Half-Century Empirical Overview," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 1, pages 1-51, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.
  3. William A. Barnett & Marcelle Chauvet & Heather L. R. Tierney, 2011. "Measurement Error in Monetary Aggregates: A Markov Switching Factor Approach," World Scientific Book Chapters, in: Financial Aggregation And Index Number Theory, chapter 7, pages 207-249, World Scientific Publishing Co. Pte. Ltd..
    See citations under working paper version above.
  4. Marcelle Chauvet & James D. Hamilton, 2006. "Dating Business Cycle Turning Points," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 1-54, Emerald Group Publishing Limited.
    See citations under working paper version above.

Books

  1. William A Barnett & Marcelle Chauvet, 2011. "Financial Aggregation and Index Number Theory," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7580, August.

    Cited by:

    1. Alkhareif, Ryadh & Barnett, William A., 2012. "Divisia monetary aggregates for the GCC countries," MPRA Paper 39539, University Library of Munich, Germany.
    2. William A. Barnett & Biyan Tang, 2015. "Chinese Divisia Monetary Index and GDP Nowcasting," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201506, University of Kansas, Department of Economics, revised Nov 2015.
    3. Barnett, William A. & Wang, Chan & Wang, Xue & Wu, Liyuan, 2018. "What inflation measure should a currency union target?," MPRA Paper 87035, University Library of Munich, Germany.
    4. Barnett, William & Suvra Bhadury, Soumya & Ghosh, Taniya, 2015. "An SVAR Approach to Evaluation of Monetary Policy in India: Solution to the Exchange Rate Puzzles in an Open Economy," Studies in Applied Economics 41, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    5. William A Barnett & Unja Chae & John W Keating, 2012. "Forecast Design In Monetary Capital Stock Measurement," Global Journal of Economics (GJE), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 1-53.
    6. Paul, Sunil & Ramachandran, M., 2011. "Currency equivalent monetary aggregates as leading indicators of inflation," Economic Modelling, Elsevier, vol. 28(4), pages 2041-2048, July.
    7. William A. Barnett & Hyun Park & Sohee Park, 2021. "The Barnett Critique," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202115, University of Kansas, Department of Economics, revised Jun 2021.
    8. William A. Barnett & Hyun Park, 2023. "Have Credit Card Services Become Important to Monetary Aggregation? An Application of Sign Restricted Bayesian VAR," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202304, University of Kansas, Department of Economics.
    9. Gabriella Conti & Sylvia Frühwirth-Schnatter & James J. Heckman & Rémi Piatek, 2014. "Bayesian Exploratory Factor Analysis," NRN working papers 2014-08, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
    10. William Barnett & Jia Liu & Ryan Mattson & Jeff van den Noort, 2012. "The New CFS Divisia Monetary Aggregates: Design, Construction, and Data Sources," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201208, University of Kansas, Department of Economics, revised May 2012.
    11. Barnett, William A., 2014. "The joint services of money and credit," MPRA Paper 60336, University Library of Munich, Germany.
    12. Ghosh, Taniya & Bhadury, Soumya Suvra, 2018. "Has Money Lost Its Relevance? Resolving the Exchange Rate Disconnect Puzzle," MPRA Paper 90627, University Library of Munich, Germany.

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