IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v12y1978i1p19-44.html
   My bibliography  Save this article

Trends and cycles in the legislative productivity of the United States Congress, 1789–1976

Author

Listed:
  • Donald Eilenstine
  • David Farnsworth
  • James Fleming

Abstract

No abstract is available for this item.

Suggested Citation

  • Donald Eilenstine & David Farnsworth & James Fleming, 1978. "Trends and cycles in the legislative productivity of the United States Congress, 1789–1976," Quality & Quantity: International Journal of Methodology, Springer, vol. 12(1), pages 19-44, March.
  • Handle: RePEc:spr:qualqt:v:12:y:1978:i:1:p:19-44
    DOI: 10.1007/BF00138657
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF00138657
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF00138657?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Farnsworth & James Fleming, 1975. "Quantitative dimensions of congressional performance in the twentieth century," Quality & Quantity: International Journal of Methodology, Springer, vol. 9(3), pages 265-275, September.
    2. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    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. P. A. Nazarov & Kazakova, Maria, 2014. "Theoretical Basis of Prediction of Main Budget Parameters of Country," Published Papers r90221, Russian Presidential Academy of National Economy and Public Administration.
    2. P. A. Nazarov & Kazakova, Maria, 2014. "Development of Prediction Model of Basic Budget Parameters in Russian Federation," Published Papers r90220, Russian Presidential Academy of National Economy and Public Administration.

    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. Martin Schneider & Martin Spitzer, 2004. "Forecasting Austrian GDP using the generalized dynamic factor model," Working Papers 89, Oesterreichische Nationalbank (Austrian Central Bank).
    2. Valentina Aprigliano & Danilo Liberati, 2021. "Using Credit Variables to Date Business Cycle and to Estimate the Probabilities of Recession in Real Time," Manchester School, University of Manchester, vol. 89(S1), pages 76-96, September.
    3. 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.
    4. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    5. Acosta, Juan & Cherrier, Beatrice, 2021. "The Transformation Of Economic Analysis At The Board Of Governors Of The Federal Reserve System During The 1960s," Journal of the History of Economic Thought, Cambridge University Press, vol. 43(3), pages 323-349, September.
    6. Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario & Altissimo, Filippo & Cristadoro, Riccardo & Veronese, Giovanni & Bassanetti, Antonio, 2001. "EuroCOIN: A Real Time Coincident Indicator of the Euro Area Business Cycle," CEPR Discussion Papers 3108, C.E.P.R. Discussion Papers.
    7. Perron, Pierre & Wada, Tatsuma, 2016. "Measuring business cycles with structural breaks and outliers: Applications to international data," Research in Economics, Elsevier, vol. 70(2), pages 281-303.
    8. Claudio Borio, 2013. "On Time, Stocks and Flows: Understanding the Global Macroeconomic Challenges," National Institute Economic Review, National Institute of Economic and Social Research, vol. 225(1), pages 3-13, August.
    9. Parma Chakravartti & Sudipto Mundle, 2017. "An Automatic Leading Indicator Based Growth Forecast For 2016-17 and The Outlook Beyond," Working Papers id:11773, eSocialSciences.
    10. Catalin DUMITRESCU, 2020. "Financial Stability Of Economic Agencies In Conditions Of Economic Crisis," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 57(1), pages 22-33, March.
    11. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    12. Pami Dua & Anirvan Banerji, 2006. "Business Cycles in India," Working papers 146, Centre for Development Economics, Delhi School of Economics.
    13. Apostolos Serletis & Ricardo Rangel-Ruiz, 2007. "Testing for Common Features in North American Energy Markets," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 14, pages 172-187, World Scientific Publishing Co. Pte. Ltd..
    14. Brown, William Jr. & Burdekin, Richard C.K. & Weidenmier, Marc D., 2006. "Volatility in an era of reduced uncertainty: Lessons from Pax Britannica," Journal of Financial Economics, Elsevier, vol. 79(3), pages 693-707, March.
    15. Grossman, Richard, 2017. "Stocks for the Long Run: New Monthly Indices of British Equities, 1869-1929," CEPR Discussion Papers 12121, C.E.P.R. Discussion Papers.
    16. McGuckin, Robert H. & Ozyildirim, Ataman & Zarnowitz, Victor, 2007. "A More Timely and Useful Index of Leading Indicators," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 110-120, January.
    17. Jaromir Benes & David Vavra, 2004. "Eigenvalue Decomposition of Time Series with Application to the Czech Business Cycle," Working Papers 2004/08, Czech National Bank.
    18. J.P.G. Reijnders, 2007. "Impulse or propagation? How the tides turned in Business Cycle Theory," Working Papers 07-07, Utrecht School of Economics.
    19. Ard H.J. den Reijer, 2005. "Forecasting Dutch GDP using Large Scale Factor Models," DNB Working Papers 028, Netherlands Central Bank, Research Department.
    20. Eliana González & Luis F. Melo & Viviana Monroy & Brayan Rojas, 2009. "A Dynamic Factor Model For The Colombian Inflation," Borradores de Economia 5273, Banco de la Republica.

    More about this item

    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:spr:qualqt:v:12:y:1978:i:1:p:19-44. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.