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Travis John Berge

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.

    Mentioned in:

    1. Evaluating the Classification of Economic Activity into Recessions and Expansions (AEJ:MA 2011) in ReplicationWiki ()

Working papers

  1. Alessandro Barbarino & Travis J. Berge & Han Chen & Andrea Stella, 2020. "Which Output Gap Estimates Are Stable in Real Time and Why?," Finance and Economics Discussion Series 2020-102, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," Working Papers 02/2021, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    2. Tino Berger & Julia Richter & Benjamin Wong, 2020. "Financial factors and the business cycle," CAMA Working Papers 2020-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Morley, James & Palenzuela, Diego Rodriguez & Sun, Yiqiao & Wong, Benjamin, 2022. "Estimating the Euro Area output gap using multivariate information and addressing the COVID-19 pandemic," Working Paper Series 2716, European Central Bank.
    4. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
    5. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R, Federal Reserve Bank of Cleveland, revised 15 Aug 2022.

  2. Berge, T. & De Ridder, M. & Pfajfar, D., 2020. "When is the Fiscal Multiplier High? A Comparison of Four Business Cycle Phases," Cambridge Working Papers in Economics 2041, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2017. "Inflation expectations and nonlinearities in the Phillips curve," Working Papers 17-11, Federal Reserve Bank of Boston.
    2. Jorge Pablo Puig & Martin Ardanaz & Eduardo Cavallo & Alejandro Izquierdo, 2021. "Output effects of fiscal consolidations: does spending composition matter?," Asociación Argentina de Economía Política: Working Papers 4507, Asociación Argentina de Economía Política.
    3. Maarten De Ridder & Simona Hannon & Damjan Pfajfar, 2020. "The Multiplier Effect of Education Expenditure," Finance and Economics Discussion Series 2020-058, Board of Governors of the Federal Reserve System (U.S.).
    4. Abdul Jalil, 2021. "Austerity: Which Way Now?," PIDE Knowledge Brief 2021:21, Pakistan Institute of Development Economics.
    5. Dennis Bonam & Paul Konietschke, 2020. "Tax multipliers across the business cycle," Working Papers 699, DNB.

  3. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Jochen Güntner, 2022. "Central bank information and private‐sector expectations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1372-1385, November.
    2. Travis J. Berge, 2020. "Time-varying Uncertainty of the Federal Reserve’s Output Gap Estimate," Finance and Economics Discussion Series 2020-012r1, Board of Governors of the Federal Reserve System (U.S.), revised 14 Apr 2021.
    3. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    4. Bennett Schmanski & Chiara Scotti & Clara Vega, 2023. "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series 2023-036, Board of Governors of the Federal Reserve System (U.S.).
    5. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    6. Engelke, Carola & Heinisch, Katja & Schult, Christoph, 2019. "How forecast accuracy depends on conditioning assumptions," IWH Discussion Papers 18/2019, Halle Institute for Economic Research (IWH).

  4. Travis J. Berge & Damjan Pfajfar, 2019. "Duration Dependence, Monetary Policy Asymmetries, and the Business Cycle," Finance and Economics Discussion Series 2019-020, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Paulo M.M. Rodrigues & Gabriel Zsurkis, 2020. "The expected time to cross a threshold and its determinants: A simple and flexible framework," Working Papers w202006, Banco de Portugal, Economics and Research Department.
    2. Berge, Travis & De Ridder, Maarten & De Ridder, Maarten & Pfajfar, Damjan, 2021. "When is the fiscal multiplier high? A comparison of four business cycle phases," LSE Research Online Documents on Economics 111517, London School of Economics and Political Science, LSE Library.

  5. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Bernd Hayo & Florian Neumeier, 2018. "Households’ Inflation Perceptions and Expectations: Survey Evidence from New Zealand," ifo Working Paper Series 255, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    2. Kladivko, Kamil & Österholm, Pär, 2020. "Can Households Predict where the Macroeconomy is Headed?," Working Papers 2020:11, Örebro University, School of Business.
    3. Christina Anderl & Guglielmo Maria Caporale, 2022. "Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates: Evidence from Point and Density Forecasts," CESifo Working Paper Series 9687, CESifo.
    4. Leilane de Freitas Rocha Cambara & Roberto Meurer, Gilberto Tadeu Lima, 2019. "Deviating from Perfect Foresight but not from Theoretical Consistency: The Behavior of Inflation Expectations in Brazil," Working Papers, Department of Economics 2019_36, University of São Paulo (FEA-USP).
    5. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    6. Cambara, Leilane de Freitas Rocha & Meurer, Roberto & Lima, Gilberto Tadeu, 2022. "Deviating from full rationality but not from theoretical consistency: The behavior of inflation expectations in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 492-501.
    7. Roedl, Marianne & Dupont, Genevieve, 2020. "Monetary policy implications of the COVID-19 outbreak, the social pandemic," MPRA Paper 99981, University Library of Munich, Germany.
    8. Pooja Kapoor & Sujata Kar, 2024. "Do Central Bank Communications Influence Survey of Professional Forecasters? An Empirical Investigation," Business Perspectives and Research, , vol. 12(1), pages 100-112, January.
    9. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.
    10. Randal J. Verbrugge & Saeed Zaman, 2021. "Whose Inflation Expectations Best Predict Inflation?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(19), pages 1-7, October.
    11. Lake, A., 2020. "Optimal Feasible Expectations in Economics and Finance," Cambridge Working Papers in Economics 20105, Faculty of Economics, University of Cambridge.
    12. Alessandro Barbarino & Travis J. Berge & Han Chen & Andrea Stella, 2020. "Which Output Gap Estimates Are Stable in Real Time and Why?," Finance and Economics Discussion Series 2020-102, Board of Governors of the Federal Reserve System (U.S.).
    13. Oinonen, Sami & Vilmi, Lauri, 2021. "Analysing euro area inflation outlook with the Phillips curve," BoF Economics Review 5/2021, Bank of Finland.
    14. Tomasz Łyziak & Xuguang Simon Sheng, 2023. "Disagreement in Consumer Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(8), pages 2215-2241, December.
    15. Chris Campos & Michael McMain & Mathieu Pedemonte, 2022. "Understanding Which Prices Affect Inflation Expectations," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2022(06), pages 1-7, April.
    16. Mayukh Dass & Masoud Moradi & Fereshteh Zihagh, 2023. "Forecasting purchase rates of new products introduced in existing categories," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 385-408, September.

  6. Travis J. Berge & Nitish R. Sinha & Michael Smolyansky, 2016. "Which Market Indicators Best Forecast Recessions?," FEDS Notes 2016-08-02, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Anderson, Alyssa Gray, 2019. "Ambiguity in securitization markets," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 231-255.

  7. Travis J. Berge, 2013. "Predicting recessions with leading indicators: model averaging and selection over the business cycle," Research Working Paper RWP 13-05, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Chen, Nan-Kuang & Cheng, Han-Liang, 2020. "A Study of Financial Cycles and the Macroeconomy in Taiwan," MPRA Paper 101296, University Library of Munich, Germany.
    2. Herman O. Stekler & Tianyu Ye, 2017. "Evaluating a leading indicator: an application—the term spread," Empirical Economics, Springer, vol. 53(1), pages 183-194, August.
    3. Qin Zhang & He Ni & Hao Xu, 2023. "Forecasting models for the Chinese macroeconomy in a data‐rich environment: Evidence from large dimensional approximate factor models with mixed‐frequency data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(1), pages 719-767, March.
    4. Luca Brugnolini & Giuseppe Ragusa, 2022. "Euro Area Deflationary Pressure Index," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 883-900, October.
    5. Jiayan YU & Jingqian ZHANG & Hee Eun SHIN & Jooan KONG, 2019. "Revisiting the Economic Crisis after a Decade: Statistical and Machine Learning Perspectives," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 14-19.
    6. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    7. Cheng-Feng Wu & Shian-Chang Huang & Chei-Chang Chiou & Tsangyao Chang & Yung-Chih Chen, 2022. "The Relationship Between Economic Growth and Electricity Consumption: Bootstrap ARDL Test with a Fourier Function and Machine Learning Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1197-1220, December.
    8. Troy Davig & Aaron Smalter Hall, 2016. "Recession forecasting using Bayesian classification," Research Working Paper RWP 16-6, Federal Reserve Bank of Kansas City.
    9. 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.
    10. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    11. Charles Ka Yui Leung & Joe Cho Yiu Ng, 2018. "Macro Aspects of Housing," Globalization Institute Working Papers 340, Federal Reserve Bank of Dallas.
    12. Martins, Manuel M.F. & Verona, Fabio, 2021. "Bond vs. bank finance and the Great Recession," Finance Research Letters, Elsevier, vol. 39(C).
    13. Marcelle Chauvet & Rafael R. S. Guimaraes, 2021. "Transfer Learning for Business Cycle Identification," Working Papers Series 545, Central Bank of Brazil, Research Department.
    14. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    15. Claudia Pacella, 2021. "Dating the euro area business cycle: an evaluation," Temi di discussione (Economic working papers) 1332, Bank of Italy, Economic Research and International Relations Area.
    16. Michael T. Kiley, 2023. "Recession Signals and Business Cycle Dynamics: Tying the Pieces Together," Finance and Economics Discussion Series 2023-008, Board of Governors of the Federal Reserve System (U.S.).
    17. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    18. Stefan Gebauer, 2017. "The Use of Financial Market Variables in Forecasting," DIW Roundup: Politik im Fokus 115, DIW Berlin, German Institute for Economic Research.
    19. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    20. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised Mar 2024.
    21. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    22. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    23. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.
    24. Min Jeong Kim & Dohyoung Kwon, 2023. "Dynamic asset allocation strategy: an economic regime approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(2), pages 136-147, March.
    25. Harri Pönkä & Markku Stenborg, 2020. "Forecasting the state of the Finnish business cycle," Finnish Economic Papers, Finnish Economic Association, vol. 29(1), pages 81-99, Spring.
    26. Heiberger, Raphael H., 2018. "Predicting economic growth with stock networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 102-111.
    27. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
    28. Rafael R. S. Guimaraes, 2022. "Deep Learning Macroeconomics," Papers 2201.13380, arXiv.org.
    29. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    30. Máximo Camacho & Gonzalo Palmieri, 2021. "Evaluating the OECD’s main economic indicators at anticipating recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 80-93, January.
    31. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    32. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    33. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    34. Gregory de Walque & Thomas Lejeune & Ansgar Rannenberg, 2023. "Empirical DSGE model evaluation with interest rate expectations measures and preferences over safe assets," Working Paper Research 433, National Bank of Belgium.
    35. Henri Nyberg, 2018. "Forecasting US interest rates and business cycle with a nonlinear regime switching VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 1-15, January.
    36. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    37. Philip Ndikum, 2020. "Machine Learning Algorithms for Financial Asset Price Forecasting," Papers 2004.01504, arXiv.org.
    38. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    39. Li, Haixi & Sheng, Xuguang Simon & Yang, Jingyun, 2021. "Monitoring recessions: A Bayesian sequential quickest detection method," International Journal of Forecasting, Elsevier, vol. 37(2), pages 500-510.

  8. Berge, Travis, 2012. "Has globalization increased the synchronicity of international business cycles?," MPRA Paper 42392, University Library of Munich, Germany.

    Cited by:

    1. Pierre L. Siklos, 2020. "Looking into the Rear-View Mirror: Lessons from Japan for the Eurozone and the U.S?," IMES Discussion Paper Series 20-E-02, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Maxwell Hartt, 2018. "The diversity of North American shrinking cities," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2946-2959, October.
    3. Kaufmann, Sylvia & Gaggl, Paul, 2016. "The Cyclical Component of Labor Market Polarization and Jobless Recoveries in the US," VfS Annual Conference 2016 (Augsburg): Demographic Change 145869, Verein für Socialpolitik / German Economic Association.
    4. Andreas Brunhart, 2017. "Are Microstates Necessarily Led by Their Bigger Neighbors’ Business Cycle? The Case of Liechtenstein and Switzerland," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 29-52, May.
    5. Travis J. Berge & Guangye Cao, 2014. "Global effects of U.S. monetary policy: is unconventional policy different?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 5-31.
    6. Agnieszka Domańska & Dobrmił Serwa, 2014. "Synchronizacja cykli koniunkturalnych a podatność gospodarek krajów Europy na skutki kryzysu gospodarczego 2008-2009," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 37.
    7. Jang Tae-Seok, 2020. "Animal spirits in an open economy: an interaction-based approach to the business cycle," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-16, January.
    8. Lillie Lam & James Yetman, 2013. "Asia's Decoupling: Fact, Fairytale or Forecast?," Pacific Economic Review, Wiley Blackwell, vol. 18(3), pages 321-344, August.
    9. Lillie Lam & James Yetman, 2013. "Asia’s decoupling: fact, forecast or fiction?," BIS Working Papers 438, Bank for International Settlements.
    10. Brunhart, Andreas, 2015. "The Swiss business cycle and the lead of small neighbor Liechtenstein," EconStor Preprints 130154, ZBW - Leibniz Information Centre for Economics.

  9. Travis J. Berge, 2011. "Forecasting disconnected exchange rates," Research Working Paper RWP 11-12, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Exchange Rates under Model and Parameter Uncertainty," CQE Working Papers 3214, Center for Quantitative Economics (CQE), University of Muenster.
    2. Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
    3. Dichtl, Hubert, 2020. "Forecasting excess returns of the gold market: Can we learn from stock market predictions?," Journal of Commodity Markets, Elsevier, vol. 19(C).
    4. Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
    5. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    6. Hambuckers, J. & Ulm, M., 2023. "On the role of interest rate differentials in the dynamic asymmetry of exchange rates," Economic Modelling, Elsevier, vol. 129(C).
    7. Christian Pierdzioch & Rangan Gupta & Hossein Hassani & Emmanuel Silva, 2018. "Forecasting Changes of Economic Inequality: A Boosting Approach," Working Papers 201868, University of Pretoria, Department of Economics.
    8. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2018. "On The Sources Of Uncertainty In Exchange Rate Predictability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(1), pages 329-357, February.
    9. Liu, Li & Tan, Siming & Wang, Yudong, 2020. "Can commodity prices forecast exchange rates?," Energy Economics, Elsevier, vol. 87(C).
    10. Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
    11. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A boosting approach to forecasting the volatility of gold-price fluctuations under flexible loss," Resources Policy, Elsevier, vol. 47(C), pages 95-107.
    12. Ren, Yu & Liang, Xuanxuan & Wang, Qin, 2021. "Short-term exchange rate forecasting: A panel combination approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    13. Ribeiro, Pinho J., 2017. "Selecting exchange rate fundamentals by bootstrap," International Journal of Forecasting, Elsevier, vol. 33(4), pages 894-914.

  10. Travis J. Berge & Òscar Jordà, 2011. "A chronology of turning points in economic activity: Spain 1850-2011," Working Paper Series 2011-28, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Nezih Guner & Ezgi Kaya & Virginia Sánchez-Marcos, 2014. "Gender gaps in Spain: policies and outcomes over the last three decades," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 5(1), pages 61-103, March.
    2. Valerie Grossman & Adrienne Mack & Enrique Martínez García, 2014. "A contribution to the chronology of turning points in global economic activity (1980-2012)," Globalization Institute Working Papers 169, Federal Reserve Bank of Dallas.
    3. Jéfferson A. Colombo & Martinho R. Lazzari, 2020. "Same, but different? A state-level chronology of the 2014-2016 Brazilian economic recession and comparisons with the GFC and (early data on) COVID-19," Economics Bulletin, AccessEcon, vol. 40(3), pages 2445-2456.
    4. Ricci L. Reber & Sarah J. Pack, 2014. "Methods of Temporal Disaggregation for Estimating Output of the Insurance Industry," BEA Working Papers 0115, Bureau of Economic Analysis.
    5. Saldarriaga, Miguel, 2018. "Credit Booms in Commodity Exporters," Working Papers 2018-008, Banco Central de Reserva del Perú.
    6. Claudia Pacella, 2020. "Essays on Forecasting," ULB Institutional Repository 2013/307579, ULB -- Universite Libre de Bruxelles.
    7. Mercè Sala-Rios & Teresa Torres-Solé & Mariona Farré-Perdiguer, 2016. "Credit and business cycles’ relationship: evidence from Spain," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 15(3), pages 149-171, December.
    8. Stephen Broadberry & Jagjit S. Chadha & Jason Lennard & Ryland Thomas, 2023. "Dating business cycles in the United Kingdom, 1700–2010," Economic History Review, Economic History Society, vol. 76(4), pages 1141-1162, November.
    9. Hanna, Alan J., 2018. "A top-down approach to identifying bull and bear market states," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 93-110.

  11. Travis J. Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Working Papers 16491, National Bureau of Economic Research, Inc.

    Cited by:

    1. Accominotti, Olivier & Chambers, David, 2016. "If you’re so smart: John Maynard Keynes and currency speculation in the interwar years," LSE Research Online Documents on Economics 64722, London School of Economics and Political Science, LSE Library.
    2. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 1-34, March.
    3. Rongju Zhang & Mark Aarons & Gregoire Loeper, 2019. "Optimal FX Hedge Tenor with Liquidity Risk," Papers 1903.06346, arXiv.org.
    4. Anatolyev, Stanislav & Gospodinov, Nikolay & Jamali, Ibrahim & Liu, Xiaochun, 2017. "Foreign exchange predictability and the carry trade: A decomposition approach," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 199-211.
    5. Travis J. Berge, 2011. "Forecasting disconnected exchange rates," Research Working Paper RWP 11-12, Federal Reserve Bank of Kansas City.
    6. Reitz, Stefan & Umlandt, Dennis, 2021. "Currency returns and FX dealer balance sheets," Journal of International Economics, Elsevier, vol. 133(C).
    7. Stanislav Anatolyev & Nikolay Gospodinov & Ibrahim Jamali & Xiaochun Liu, 2015. "Foreign exchange predictability during the financial crisis: implications for carry trade profitability," FRB Atlanta Working Paper 2015-6, Federal Reserve Bank of Atlanta.
    8. Shehadeh, Ali & Erdős, Péter & Li, Youwei & Moore, Michael, 2016. "US Dollar Carry Trades in the Era of “Cheap Money”," MPRA Paper 70770, University Library of Munich, Germany.
    9. Narkevich, Siarhei & Trunin, Pavel, 2013. "Prospects for the Russian Ruble as a Regional Reserve Currency," Published Papers dok2, Russian Presidential Academy of National Economy and Public Administration.
    10. Yung, Julieta, 2021. "Can interest rate factors explain exchange rate fluctuations?," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 34-56.
    11. Sergey Narkevich & Pavel Trunin, 2012. "Reserve Currencies: Factors of Evolution and their Role in the World Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 162P.
    12. Òscar Jordà & Alan M. Taylor, 2011. "Performance Evaluation of Zero Net-Investment Strategies," NBER Working Papers 17150, National Bureau of Economic Research, Inc.
    13. Pavel Trunin & Sergey Narkevich, 2013. "Prospects for the Russian Ruble to Become Regional Reserve Currency," Working Papers 118, Gaidar Institute for Economic Policy, revised 2015.
    14. Bank for International Settlements, 2015. "Currency carry trades in Latin America," BIS Papers, Bank for International Settlements, number 81.

  12. Oscar Jorda & Hsieh Fushing & Shu-Chun Chen & Travis J. Berge, 2010. "A Chronology of International Business Cycles Through Non-parametric Decoding," Working Papers 216, University of California, Davis, Department of Economics.

    Cited by:

    1. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 1-34, March.
    2. Andrea Giusto & Jeremy Piger, 2013. "Nowcasting U.S. Business Cycle Turning Points with Vector Quantization," Working Papers daleconwp2013-02, Dalhousie University, Department of Economics.
    3. Sharma, Susan Sunila & Narayan, Paresh Kumar, 2022. "Technology shocks and stock returns: A long-term perspective," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 67-83.
    4. Sergey Smirnov & Nikolay Kondrashov & Anna Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01692230, HAL.
    5. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    6. Adrian Pagan, 2013. "Patterns and Their Uses," NCER Working Paper Series 96, National Centre for Econometric Research.
    7. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    8. Kroencke, Tim A., 2022. "Recessions and the stock market," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 61-77.

Articles

  1. Berge, Travis & De Ridder, Maarten & Pfajfar, Damjan, 2021. "When is the fiscal multiplier high? A comparison of four business cycle phases," European Economic Review, Elsevier, vol. 138(C).
    See citations under working paper version above.
  2. Berge, Travis J. & Chang, Andrew C. & Sinha, Nitish R., 2019. "Evaluating the conditionality of judgmental forecasts," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
    See citations under working paper version above.
  3. Berge, Travis J., 2018. "Understanding survey-based inflation expectations," International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
    See citations under working paper version above.
  4. 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.
    See citations under working paper version above.
  5. Travis J. Berge & Guangye Cao, 2014. "The global impact of U.S. monetary policy," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-2, March.

    Cited by:

    1. Muhammad Zeeshan Younas & Muhammad Arshad Khan, 2018. "Macroeconomic Impacts of External Shocks on Economy:Recursive Vector Autoregressive (RVAR) Analysis," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 7(4), pages 169-184, December.

  6. Travis J. Berge, 2014. "Forecasting Disconnected Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 713-735, August.
    See citations under working paper version above.
  7. Travis J. Berge & Guangye Cao, 2014. "Global effects of U.S. monetary policy: is unconventional policy different?," Economic Review, Federal Reserve Bank of Kansas City, issue Q I, pages 5-31.

    Cited by:

    1. Armelius, Hanna & Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2018. "Spread the Word: International Spillovers from Central Bank Communication," Working Paper Series 357, Sveriges Riksbank (Central Bank of Sweden).
    2. Stephanos Papadamou & Νikolaos A. Kyriazis & Panayiotis G. Tzeremes, 2020. "US non-linear causal effects on global equity indices in Normal times versus unconventional eras," International Economics and Economic Policy, Springer, vol. 17(2), pages 381-407, May.
    3. Thealexa Becker & Andrew Lee Smith, 2015. "Has Forward Guidance Been Effective?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 57-78.
    4. Bernhard, Severin & Ebner, Till, 2017. "Cross-border spillover effects of unconventional monetary policies on Swiss asset prices," Journal of International Money and Finance, Elsevier, vol. 75(C), pages 109-127.
    5. Stephanos Papadamou & Nikolaos A. Kyriazis & Panayiotis G. Tzeremes, 2019. "Spillover Effects of US QE and QE Tapering on African and Middle Eastern Stock Indices," JRFM, MDPI, vol. 12(2), pages 1-20, April.
    6. Annette Meinusch, 2017. "When the Fed sneezes - Spillovers from U.S. Monetary Policy to Emerging Markets," MAGKS Papers on Economics 201730, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    7. Eric Fischer, 2020. "Monetary Surprises and Global Financial Flows: A Case Study of Latin America," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(2), pages 189-225, August.
    8. McQuade, Peter & Falagiarda, Matteo & Tirpák, Marcel, 2015. "Spillovers from the ECB's non-standard monetary policies on non-euro area EU countries: evidence from an event-study analysis," Working Paper Series 1869, European Central Bank.

  8. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 1-34, March.
    See citations under working paper version above.
  9. Travis J. Berge, 2012. "Has globalization increased the synchronicity of international business cycles?," Economic Review, Federal Reserve Bank of Kansas City, vol. 97(Q III).
    See citations under working paper version above.
  10. Travis Berge & Òscar Jordà & Alan M. Taylor, 2011. "Currency Carry Trades," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 7(1), pages 357-388.
    See citations under working paper version above.
  11. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-277, April.

    Cited by:

    1. Pierdzioch, Christian & Rülke, Jan-Christoph, 2015. "On the directional accuracy of forecasts of emerging market exchange rates," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 369-376.
    2. Liu, Jingzhen & Kemp, Alexander, 2019. "Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables," Energy Economics, Elsevier, vol. 81(C), pages 672-686.
    3. Charlotte Christiansen & Jonas Nygaard Eriksen & Stig V. Møller, 2013. "Forecasting US Recessions: The Role of Sentiments," CREATES Research Papers 2013-14, Department of Economics and Business Economics, Aarhus University.
    4. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    5. Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2022. "Reconciled Estimates of Monthly GDP in the US," Working Papers 22-01, Federal Reserve Bank of Cleveland.
    6. Luca Brugnolini, 2018. "Forecasting Deflation Probability in the EA: A Combinatoric Approach," CBM Working Papers WP/01/2018, Central Bank of Malta.
    7. Hashmat Khan & Santosh Upadhayaya, 2017. "Does Business Confidence Matter for Investment?," Carleton Economic Papers 17-13, Carleton University, Department of Economics, revised 20 Mar 2019.
    8. Elgin, Ceyhun & Kose, M. Ayhan & Ohnsorge, Franziska & Yu, Shu, 2021. "Growing Apart or Moving Together? Synchronization of Informal and Formal Economy Cycles," MPRA Paper 109492, University Library of Munich, Germany.
    9. Ceyhun Elgin & M. ayhan Köse & Franziska Ohnsorge & Shu Yu, 2021. "Understanding Informality Abstract:," Working Papers 2021/03, Bogazici University, Department of Economics.
    10. Mr. John C Bluedorn & Rupa Duttagupta & Mr. Jaime Guajardo & Miss Nkunde Mwase, 2013. "The Growth Comeback in Developing Economies: A New Hope or Back to the Future?," IMF Working Papers 2013/132, International Monetary Fund.
    11. Scott Brave & R. Andrew Butters, 2014. "Nowcasting Using the Chicago Fed National Activity Index," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I, pages 19-37.
    12. Mathias Drehmann, 2013. "Evaluating early warning indicators of banking crises: Satisfying policy requirements," BIS Working Papers 421, Bank for International Settlements.
    13. Güneş Kamber & James Morley & Benjamin Wong, 2017. "Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter," Reserve Bank of New Zealand Discussion Paper Series DP2017/01, Reserve Bank of New Zealand.
    14. Elgin, Ceyhun & Kose, M. Ayhan & Ohnsorge, Franziska & Yu, Shu, 2021. "Understanding Informality," MPRA Paper 109490, University Library of Munich, Germany.
    15. Vrontos, Spyridon D. & Galakis, John & Vrontos, Ioannis D., 2021. "Modeling and predicting U.S. recessions using machine learning techniques," International Journal of Forecasting, Elsevier, vol. 37(2), pages 647-671.
    16. Jeffrey Clemens & Michael R. Strain, 2020. "Public Policy and Participation in Political Interest Groups: An Analysis of Minimum Wages, Labor Unions, and Effective Advocacy," NBER Working Papers 27902, National Bureau of Economic Research, Inc.
    17. Kajal Lahiri & Cheng Yang, 2023. "ROC and PRC Approaches to Evaluate Recession Forecasts," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 119-148, September.
    18. Valerie Grossman & Adrienne Mack & Enrique Martínez García, 2014. "A contribution to the chronology of turning points in global economic activity (1980-2012)," Globalization Institute Working Papers 169, Federal Reserve Bank of Dallas.
    19. Troy Davig & Aaron Smalter Hall, 2016. "Recession forecasting using Bayesian classification," Research Working Paper RWP 16-6, Federal Reserve Bank of Kansas City.
    20. Aaron J. Amburgey & Michael W. McCracken, 2023. "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
    21. 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.
    22. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
    23. Neville Francis & Michael T. Owyang & Daniel Soques, 2019. "Business Cycles Across Space and Time," Working Papers 2019-010, Federal Reserve Bank of St. Louis, revised 05 May 2021.
    24. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    25. Shahram Fattahi & Kiomars Sohaili & Hamed Monkaresi & Fatemeh Mehrabi, 2017. "Modelling and Forecasting Recessions in Oil-exporting Countries: The Case of Iran," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 569-574.
    26. Yu-Chin Hsu & Robert P. Lieli, 2021. "Inference for ROC Curves Based on Estimated Predictive Indices," Papers 2112.01772, arXiv.org.
    27. Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," Working Papers hal-04141569, HAL.
    28. Gaston Giordana & Michael H. Ziegelmeyer, 2022. "Using household-level data to guide borrower-based macro-prudential policy," BCL working papers 161, Central Bank of Luxembourg.
    29. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
    30. Emmanuel Paroissien & Laure Latruffe & Laurent Piet, 2021. "Early exit from business, performance and neighbours’ influence: a study of farmers in France [Effects of differing farm policies on farm structure and dynamics]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(5), pages 1132-1161.
    31. Travis Berge & Òscar Jordà, 2013. "A chronology of turning points in economic activity: Spain, 1850–2011," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(1), pages 1-34, March.
    32. Camacho, Maximo & Martinez-Martin, Jaime, 2015. "Monitoring the world business cycle," Economic Modelling, Elsevier, vol. 51(C), pages 617-625.
    33. Mönch, Emanuel & Stein, Tobias, 2021. "Equity premium predictability over the business cycle," Discussion Papers 25/2021, Deutsche Bundesbank.
    34. Lahiri, Kajal & Yang, Liu, 2015. "A further analysis of the conference board’s new Leading Economic Index," International Journal of Forecasting, Elsevier, vol. 31(2), pages 446-453.
    35. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    36. Bowen Fu, 2019. "Bubbles and crises: Replicating the Anundsen et al. (2016) results," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 822-826, August.
    37. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2010. "Financial Crises, Credit Booms, and External Imbalances: 140 Years of Lessons," NBER Working Papers 16567, National Bureau of Economic Research, Inc.
    38. Kajal Lahiri & Liu Yang, 2018. "Confidence Bands for ROC Curves With Serially Dependent Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 115-130, January.
    39. Gerlach, Stefan & Stuart, Rebecca, 2018. "The Slope of the Term Structure and Recessions: The Pre-Fed Evidence, 1857-1913," CEPR Discussion Papers 13013, C.E.P.R. Discussion Papers.
    40. Kiss, Tamás & Österholm, Pär, 2020. "Fat tails in leading indicators," Economics Letters, Elsevier, vol. 193(C).
    41. Balcilar, Mehmet & Gupta, Rangan & Segnon, Mawuli, 2016. "The role of economic policy uncertainty in predicting U.S. recessions: A mixed-frequency Markov-switching vector autoregressive approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-20.
    42. Jon Danielsson & Marcela Valenzuela & Ilknur Zer, 2018. "Learning from History: Volatility and Financial Crises," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2774-2805.
    43. Christiansen, Charlotte & Eriksen, Jonas N. & Møller, Stig V., 2019. "Negative house price co-movements and US recessions," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 382-394.
    44. Huang, Yu-Fan & Startz, Richard, 2020. "Improved recession dating using stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 507-514.
    45. Thomas M. Mertens, 2022. "Recession Prediction on the Clock," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, vol. 2022(36), pages 1-06, December.
    46. Karsten Müller, 2022. "German forecasters’ narratives: How informative are German business cycle forecast reports?," Empirical Economics, Springer, vol. 62(5), pages 2373-2415, May.
    47. Kajal Lahiri & Liu Yang, 2015. "A Non-linear Forecast Combination Procedure for Binary Outcomes," CESifo Working Paper Series 5175, CESifo.
    48. Claudio Borio & Mathias Drehmann & Dora Xia, 2018. "The financial cycle and recession risk," BIS Quarterly Review, Bank for International Settlements, December.
    49. Spelta, A. & Flori, A. & Pecora, N. & Pammolli, F., 2021. "Financial crises: Uncovering self-organized patterns and predicting stock markets instability," Journal of Business Research, Elsevier, vol. 129(C), pages 736-756.
    50. Kim Ristolainen & Tomi Roukka & Henri Nyberg, 2021. "A Thousand Words Tell More Than Just Numbers: Financial Crises and Historical Headlines," Discussion Papers 149, Aboa Centre for Economics.
    51. Mathias Drehmann & James Yetman, 2020. "Which credit gap is better at predicting financial crises? A comparison of univariate filters," BIS Working Papers 878, Bank for International Settlements.
    52. Karolin Kirschenmann & Tuomas Malinen & Henri Nyberg, 2014. "The risk of financial crises: Is it in real or financial factors?," Working Papers 336, ECINEQ, Society for the Study of Economic Inequality.
    53. Serena Ng, 2014. "Viewpoint: Boosting Recessions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(1), pages 1-34, February.
    54. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    55. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    56. Sergey Smirnov & Nikolay Kondrashov & Anna Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01692230, HAL.
    57. Maximo Camacho & Gabriel Perez-Quiros & Pilar Poncela, 2012. "Markov-switching dynamic factor models in real time," Working Papers 1205, Banco de España.
    58. Christian Pierdzioch & Monique B. Reid & Rangan Gupta, 2018. "On the directional accuracy of inflation forecasts: evidence from South African survey data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(5), pages 884-900, April.
    59. Sutirtha Bagchi, 2018. "A Tale of Two Cities: An Examination of Medallion Prices in New York and Chicago," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 53(2), pages 295-319, September.
    60. Pérez-Quirós, Gabriel & Leiva-León, Danilo & Rots, Eyno, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," CEPR Discussion Papers 14484, C.E.P.R. Discussion Papers.
    61. Claudia Pacella, 2021. "Dating the euro area business cycle: an evaluation," Temi di discussione (Economic working papers) 1332, Bank of Italy, Economic Research and International Relations Area.
    62. Sajjad Taghiyeh & David C Lengacher & Robert B Handfield, 2020. "Loss Rate Forecasting Framework Based on Macroeconomic Changes: Application to US Credit Card Industry," Papers 2006.07911, arXiv.org.
    63. Yusuf Yıldırım & Anirban Sanyal, 2022. "Evaluating the Effectiveness of Early Warning Indicators: An Application of Receiver Operating Characteristic Curve Approach to Panel Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 557-597, December.
    64. du Plessis, Emile, 2022. "Multinomial modeling methods: Predicting four decades of international banking crises," Economic Systems, Elsevier, vol. 46(2).
    65. Guimaraes, Rodrigo & Pinter, Gabor & Wijnandts, Jean-Charles, 2023. "The liquidity state-dependence of monetary policy transmission," Bank of England working papers 1045, Bank of England.
    66. Stefano Costa & Federico Sallusti & Claudio Vicarelli & Davide Zurlo, 2021. "Italian firms in times of troubles: Covid-19 pandemic as a test of structural solidity," LEM Papers Series 2021/47, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    67. Zhongbo Jing & Jakob de Haan & Jan P.A.M. Jacobs & Haizhen Yang, 2013. "Identifying Banking Crises Using Money Market Pressure: New Evidence For A Large Set of Countries," CIRANO Working Papers 2013s-41, CIRANO.
    68. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2023. "Yield spread selection in predicting recession probabilities," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1772-1785, November.
    69. Jorge E. Galán, 2021. "CREWS: a CAMELS-based early warning system of systemic risk in the banking sector," Occasional Papers 2132, Banco de España.
    70. Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
    71. Costa, Stefano & Sallusti, Federico & Vicarelli, Claudio & Zurlo, Davide, 2022. "Firms’ solidity before an exogenous shock: Covid-19 pandemic in Italy," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 946-961.
    72. Buckmann, Marcus & Gallego Marquez, Paula & Gimpelewicz, Mariana & Kapadia, Sujit & Rismanchi, Katie, 2023. "The more the merrier? Evidence on the value of multiple requirements in bank regulation," Journal of Banking & Finance, Elsevier, vol. 149(C).
    73. Galvao, Ana Beatriz & Owyang, Michael, 2020. "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," EMF Research Papers 38, Economic Modelling and Forecasting Group.
    74. Leif Anders Thorsrud, 2020. "Words are the New Numbers: A Newsy Coincident Index of the Business Cycle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
    75. Duprey, Thibaut & Klaus, Benjamin, 2022. "Early warning or too late? A (pseudo-)real-time identification of leading indicators of financial stress," Journal of Banking & Finance, Elsevier, vol. 138(C).
    76. Esteban M. Aucejo & Jacob F. French & Basit Zafar, 2021. "Estimating Students' Valuation for College Experiences," NBER Working Papers 28511, National Bureau of Economic Research, Inc.
    77. Weiling Liu & Emanuel Moench, 2014. "What predicts U.S. recessions?," Staff Reports 691, Federal Reserve Bank of New York.
    78. Qiang Chen & Yu Han & Ying Huang, 2024. "Market‐wide overconfidence and stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 3-26, January.
    79. Baruník, Jozef & Bevilacqua, Mattia & Faff, Robert, 2024. "Dynamic industry uncertainty networks and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    80. Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
    81. Martin Pažický, 2021. "Predicting Recessions in Germany Using the German and the US Yield Curve," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 263-291, December.
    82. Massimo Guidolin & Manuela Pedio, 2019. "Does the Cost of Private Debt Respond to Monetary Policy? Heteroskedasticity-Based Identification in a Model with Regimes," BAFFI CAREFIN Working Papers 19118, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    83. Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
    84. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions With Boosted Regression Trees," Working Papers 2015-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    85. Komla M. Agudze & Monica Billio & Roberto Casarin & Francesco Ravazzolo, 2021. "Markov Switching Panel with Endogenous Synchronization Effects," BEMPS - Bozen Economics & Management Paper Series BEMPS82, Faculty of Economics and Management at the Free University of Bozen.
    86. Turgut Kisinbay & Chikako Baba, 2011. "Predicting Recessions: A New Approach for Identifying Leading Indicators and Forecast Combinations," IMF Working Papers 2011/235, International Monetary Fund.
    87. Seulki Chung, 2023. "Real-time Prediction of the Great Recession and the Covid-19 Recession," Papers 2310.08536, arXiv.org, revised Mar 2024.
    88. David Coble & Pablo Pincheira, 2021. "Forecasting building permits with Google Trends," Empirical Economics, Springer, vol. 61(6), pages 3315-3345, December.
    89. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," NBER Working Papers 26962, National Bureau of Economic Research, Inc.
    90. Bluedorn, John C. & Decressin, Jörg & Terrones, Marco E., 2016. "Do asset price drops foreshadow recessions?," International Journal of Forecasting, Elsevier, vol. 32(2), pages 518-526.
    91. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
    92. Kim Ristolainen, 2018. "Predicting Banking Crises with Artificial Neural Networks: The Role of Nonlinearity and Heterogeneity," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(1), pages 31-62, January.
    93. Ercolani, Valerio & Natoli, Filippo, 2020. "Forecasting US recessions: The role of economic uncertainty," Economics Letters, Elsevier, vol. 193(C).
    94. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    95. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    96. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1025-1106, Elsevier.
    97. Scott A. Brave & Jose A. Lopez, 2019. "Calibrating Macroprudential Policy to Forecasts of Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 15(1), pages 1-59, March.
    98. Jylhä, Petri & Lof, Matthijs, 2022. "Mind the Basel gap," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    99. Le Mezo, Helena & Ferrari Minesso, Massimo, 2021. "Text-based recession probabilities," Working Paper Series 2516, European Central Bank.
    100. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.
    101. Jörg Döpke & Ulrich Fritsche & Christian Pierdzioch, 2015. "Predicting Recessions in Germany With Boosted Regression Trees," Macroeconomics and Finance Series 201505, University of Hamburg, Department of Socioeconomics.
    102. Ana Beatriz Galvão & Amit Kara, 2020. "The Impact of GDP Data Revisions on Identifying and Predicting UK Recessions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-12, Economic Statistics Centre of Excellence (ESCoE).
    103. Thibaut Duprey & Benjamin Klaus & Tuomas Peltonen, 2016. "Dating Systemic Financial Stress Episodes in the EU Countries," Staff Working Papers 16-11, Bank of Canada.
    104. Harri Pönkä & Markku Stenborg, 2020. "Forecasting the state of the Finnish business cycle," Finnish Economic Papers, Finnish Economic Association, vol. 29(1), pages 81-99, Spring.
    105. Claudio Borio & Mathias Drehmann & Dora Xia Author-X-Name_First: Dora, 2019. "Predicting recessions: financial cycle versus term spread," BIS Working Papers 818, Bank for International Settlements.
    106. Stefano Costa & Federico Sallusti & Claudio Vicarelli & Davide Zurlo, 2019. "Tech on the ROC: A New Way of Looking at Exporting Firms," Working Papers LuissLab 19152, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    107. Vasilios Plakandaras & Juncal Cunado & Rangan Gupta & Mark E. Wohar, 2016. "Do Leading Indicators Forecast U.S. Recessions? A Nonlinear Re-Evaluation Using Historical Data," Working Papers 201685, University of Pretoria, Department of Economics.
    108. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    109. 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.
    110. Silver, Steven D. & Raseta, Marko & Bazarova, Alina, 2023. "Stochastic resonance in the recovery of signal from agent price expectations," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    111. Stefano Costa & Federico Sallusti & Claudio Vicarelli & Davide Zurlo, 2019. "Tech on the ROC: Export Threshold and Technology Adoption Interacted," LEM Papers Series 2019/38, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    112. Jörg Döpke & Ulrich Fritsche & Karsten Müller, 2018. "Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany," Macroeconomics and Finance Series 201803, University of Hamburg, Department of Socioeconomics.
    113. Ceyhun Elgin & M. ayhan Köse & Franziska Ohnsorge & Shu Yu, 2021. "Growing Apart or Moving Together? Synchronization of Informal and Formal Economy Cycles Abstract:," Working Papers 2021/04, Bogazici University, Department of Economics.
    114. Detken, Carsten & Weeken, Olaf & Alessi, Lucia & Bonfim, Diana & Boucinha, Miguel & Castro, Christian & Frontczak, Sebastian & Giordana, Gaston & Giese, Julia & Wildmann, Nadya & Kakes, Jan & Klaus, B, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 5, European Systemic Risk Board.
    115. Lauri Nevasalmi, 2022. "Recession forecasting with high‐dimensional data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 752-764, July.
    116. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    117. Stephen Broadberry & Jagjit S. Chadha & Jason Lennard & Ryland Thomas, 2023. "Dating business cycles in the United Kingdom, 1700–2010," Economic History Review, Economic History Society, vol. 76(4), pages 1141-1162, November.
    118. Nyberg, Henri & Pönkä, Harri, 2016. "International sign predictability of stock returns: The role of the United States," Economic Modelling, Elsevier, vol. 58(C), pages 323-338.
    119. Zihao Wang & Kun Li & Steve Q. Xia & Hongfu Liu, 2021. "Economic Recession Prediction Using Deep Neural Network," Papers 2107.10980, arXiv.org.
    120. Ralf Fendel & Nicola Mai & Oliver Mohr, 2021. "Recession probabilities for the Eurozone at the zero lower bound: Challenges to the term spread and rise of alternatives," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1000-1026, September.
    121. Nguena, Christian-Lambert & Kodila-Tedika, Oasis, 2020. "On Recessive and Expansionary Impact of Financial Development: Empirical Evidence," GLO Discussion Paper Series 555, Global Labor Organization (GLO).
    122. Máximo Camacho & Gonzalo Palmieri, 2021. "Evaluating the OECD’s main economic indicators at anticipating recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 80-93, January.
    123. Victoria Atanasov & Stig V. Møller & Richard Priestley, 2020. "Consumption Fluctuations and Expected Returns," Journal of Finance, American Finance Association, vol. 75(3), pages 1677-1713, June.
    124. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    125. Knut Are Aastveit & Andr� K. Anundsen & Eyo I. Herstad, 2017. "Residential investment and recession predictability," Working Papers No 8/2017, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    126. Hwang, Youngjin, 2019. "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, vol. 62(C).
    127. Kajal Lahiri & Cheng Yang, 2023. "A tale of two recession-derivative indicators," Empirical Economics, Springer, vol. 65(2), pages 925-947, August.
    128. Sander, Magnus, 2018. "Market timing over the business cycle," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 130-145.
    129. Christian-Lambert Nguena & Oasis Kodila-Tedika, 2023. "Zu rezessiven und expansiven Auswirkungen der Finanzentwicklung: empirische Beweise [On recessive and expansionary impact of financial development: empirical evidence]," Post-Print hal-04228903, HAL.
    130. Anna Pestova, 2015. "Leading Indicators of the Business Cycle: Dynamic Logit Models for OECD Countries and Russia," HSE Working papers WP BRP 94/EC/2015, National Research University Higher School of Economics.
    131. Marius M. Mihai, 2020. "Do credit booms predict US recessions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 887-910, September.
    132. Binici, Mahir & Köksal, Bülent, 2012. "Türkiye'de Aşırı Kredi Genişlemeleri ve Belirleyicileri [Determinants of Credit Booms in Turkey]," MPRA Paper 38032, University Library of Munich, Germany.
    133. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    134. Rachidi Kotchoni & Dalibor Stevanovic, 2020. "GDP Forecast Accuracy During Recessions," Working Papers 20-06, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    135. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
    136. Henri Nyberg, 2018. "Forecasting US interest rates and business cycle with a nonlinear regime switching VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 1-15, January.
    137. Boonman, T.M. & Jacobs, J.P.A.M. & Kuper, G.H., 2013. "Sovereign debt crises in Latin America," Research Report 13016-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    138. Jaehyuk Choi & Desheng Ge & Kyu Ho Kang & Sungbin Sohn, 2021. "Yield Spread Selection in Predicting Recession Probabilities: A Machine Learning Approach," Papers 2101.09394, arXiv.org, revised Jan 2022.
    139. Martin M. Andreasen & Tom Engsted & Stig V. Møller & Magnus Sander, 2016. "Bond Market Asymmetries across Recessions and Expansions: New Evidence on Risk Premia," CREATES Research Papers 2016-26, Department of Economics and Business Economics, Aarhus University.
    140. Kirschenmann, Karolin & Malinen, Tuomas & Nyberg, Henri, 2016. "The risk of financial crises: Is there a role for income inequality?," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 161-180.
    141. Giusto, Andrea & Piger, Jeremy, 2017. "Identifying business cycle turning points in real time with vector quantization," International Journal of Forecasting, Elsevier, vol. 33(1), pages 174-184.
    142. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
    143. Casarin, Roberto & Costola, Michele, 2019. "Structural changes in large economic datasets: A nonparametric homogeneity test," Economics Letters, Elsevier, vol. 176(C), pages 55-59.
    144. Sergey Smirnov, 2011. "Those Unpredictable Recessions," HSE Working papers WP BRP 02/EC/2011, National Research University Higher School of Economics.
    145. William D. Larson & Tara M. Sinclair, 2020. "Nowcasting unemployment insurance claims in the time of COVID-19," CAMA Working Papers 2020-63, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    146. Christian-Lambert Nguena, Oasis Kodila-Tedika, 2023. "On recessive and expansionary impact of financial development: empirical evidence," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 20(1), pages 97-130, June.
    147. 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.
    148. Li, Haixi & Sheng, Xuguang Simon & Yang, Jingyun, 2021. "Monitoring recessions: A Bayesian sequential quickest detection method," International Journal of Forecasting, Elsevier, vol. 37(2), pages 500-510.
    149. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
    150. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
    151. Constantin Bürgi & Tara M. Sinclair, 2020. "What Does Forecaster Disagreement Tell Us about the State of the Economy?," Working Papers 2020-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    152. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
    153. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
    154. Pierluigi Bologna & Maddalena Galardo, 2022. "Calibrating the countercyclical capital buffer for Italy," Questioni di Economia e Finanza (Occasional Papers) 679, Bank of Italy, Economic Research and International Relations Area.
    155. Herman Stekler & Yongchen Zhao, 2016. "Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set," Working Papers 2016-15, Towson University, Department of Economics, revised Sep 2016.
    156. Blanchflower, David G. & Bryson, Alex, 2023. "Labour Market Expectations and Unemployment in Europe," IZA Discussion Papers 15905, Institute of Labor Economics (IZA).

  12. Travis J. Berge & Early Elias & Òscar Jordà, 2011. "Future recession risks: an update," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue nov.14.

    Cited by:

    1. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.

  13. Travis J. Berge & Òscar Jordà, 2010. "Future recession risks," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue aug9.

    Cited by:

    1. Travis J. Berge & Early Elias & Òscar Jordà, 2011. "Future recession risks: an update," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue nov.14.
    2. David Lang & Kevin J. Lansing, 2010. "Forecasting growth over the next year with a business cycle index," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sep27.

Chapters

  1. Travis Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Chapters, in: NBER International Seminar on Macroeconomics 2010, pages 357-387, National Bureau of Economic Research, Inc.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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