IDEAS home Printed from https://ideas.repec.org/p/bea/papers/0099.html
   My bibliography  Save this paper

Cyclical Indicators for the United States

Author

Listed:
  • Carol E. Moylan

    (Bureau of Economic Analysis)

Abstract

Paper presented at the Third International Seminar on Early Warning and Business Cycle Indicators

Suggested Citation

  • Carol E. Moylan, 2010. "Cyclical Indicators for the United States," BEA Papers 0099, Bureau of Economic Analysis.
  • Handle: RePEc:bea:papers:0099
    as

    Download full text from publisher

    File URL: https://www.bea.gov/system/files/papers/P2010-2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Auerbach, Alan J, 1982. "The Index of Leading Indicators: "Measurement without Theory," Thirty-Five Years Later," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 589-595, November.
    2. J. Steven Landefeld & Shaunda M. Villones, 2009. "GDP and Beyond: Measuring Economic Progress and Sustainability," BEA Papers 0096, Bureau of Economic Analysis.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dilyara Ibragimova, 2014. "Consumer Expectations Of Russian Populations: Cohort Analysis (1996–2009)," HSE Working papers WP BRP 41/SOC/2014, National Research University Higher School of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Parma Chakravartti & Sudipto Mundle, 2017. "An Automatic Leading Indicator Based Growth Forecast For 2016-17 and The Outlook Beyond," Working Papers id:11773, eSocialSciences.
    2. Rafal Kasperowicz, 2010. "Identification Of Industrial Cycle Leading Indicators Using Causality Test," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 5(2), pages 47-59, December.
    3. Mustapha Olalekan Ojo & Luís Aguiar‐Conraria & Maria Joana Soares, 2024. "The performance of OECD's composite leading indicator," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2265-2277, April.
    4. Rua, Antonio & Nunes, Luis C., 2005. "Coincident and leading indicators for the euro area: A frequency band approach," International Journal of Forecasting, Elsevier, vol. 21(3), pages 503-523.
    5. Ernst A. Boehm, 2001. "The Contribution of Economic Indicator Analysis to Understanding and Forecasting Business Cycles," Melbourne Institute Working Paper Series wp2001n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Burcu Gurcihan Yunculer & Gonul Sengul & Arzu Yavuz, 2014. "A Quest for Leading Indicators of the Turkish Unemployment Rate," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 14(1), pages 23-45.
    7. Michael Meow-Chung Yap, 2009. "Assessing Malaysia’s Business Cycle indicators," Monash Economics Working Papers 04-09, Monash University, Department of Economics.
    8. Keith R. Phillips & Lucinda Vargas & Victor Zarnowitz, 1996. "New tools for analyzing the Mexican economy: indexes of coincident and leading economic indicators," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Q II.
    9. James H. Stock & Mark W. Watson, 1989. "New Indexes of Coincident and Leading Economic Indicators," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 351-409, National Bureau of Economic Research, Inc.
    10. V. K. Shrotryia & Shashank Vikram Pratap Singh, 2020. "Measuring Progress Beyond GDP: A Theoretical Perspective," Emerging Economy Studies, International Management Institute, vol. 6(2), pages 143-165, November.
    11. Seongwan Oh & Michael Waldman, 1989. "The New Perspective on Keynesian Coordination Failure: Theory and Evidence," UCLA Economics Working Papers 559, UCLA Department of Economics.
    12. Andrea Brischetto & Graham Voss, 2000. "Forecasting Australian Economic Activity Using Leading Indicators," RBA Research Discussion Papers rdp2000-02, Reserve Bank of Australia.
    13. Dorji, Karma Minjur Phuntsho, 2024. "Exploring Nowcasting Techniques for Real-Time GDP Estimation in Bhutan," MPRA Paper 121380, University Library of Munich, Germany, revised 30 Jun 2024.
    14. Victor Zarnowitz, 1986. "The Record and Improvability of Economic Forecasting," NBER Working Papers 2099, National Bureau of Economic Research, Inc.
    15. Olha Hlushchenko, 2016. "Well-being funding: essence and estimation method," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 2016(2), pages 45-55.
    16. James H. Stock & Mark W. Watson, 1993. "A Procedure for Predicting Recessions with Leading Indicators: Econometric Issues and Recent Experience," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 95-156, National Bureau of Economic Research, Inc.
    17. Edda Claus & Iris Claus, 2002. "How many jobs? A leading indicator model of New Zealand employment," Treasury Working Paper Series 02/13, New Zealand Treasury.
    18. Khurshid M. Kiani, 2007. "Asymmetric Business Cycle Fluctuations and Contagion Effects in G7 Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(3), pages 237-253, December.
    19. Qi, Min, 2001. "Predicting US recessions with leading indicators via neural network models," International Journal of Forecasting, Elsevier, vol. 17(3), pages 383-401.
    20. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.

    More about this item

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bea:papers:0099. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Andrea Batch (email available below). General contact details of provider: https://edirc.repec.org/data/beagvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.