IDEAS home Printed from https://ideas.repec.org/a/fip/fedbne/y1991ijulp11-26.html
   My bibliography  Save this article

\"Whither New England\"?

Author

Listed:
  • Stephen K. McNees
  • Geoffrey M. B. Tootell

Abstract

This article attempts to identify precursors, or indicators, of New England employment. The predictive power of a diverse array of variables is calculated and compared. However, because no single variable is likely to contain all information of predictive value, the article then explores alternative methods of combining several variables into an index or statistical \"model\" of New England employment growth. The variables are separated into regional, national, and expectational in order to measure the predictive value of each type of information. ; In both in-sample and out-of-sample tests, a model that included all categories of variables was the most successful. However, relative to its in-sample fit, every model performed poorly out of sample. The reason for this breakdown is clear--the models were fit during the \"Massachusetts Miracle\" while their predictive power was tested over the New England bust. The lack of a theoretical model and deficiencies in the available data make a purely statistical approach to predicting the New England economy suspect. Some insights can be gained, however, by surveying the New England economy in a broader historical context.

Suggested Citation

  • Stephen K. McNees & Geoffrey M. B. Tootell, 1991. "\"Whither New England\"?," New England Economic Review, Federal Reserve Bank of Boston, issue Jul, pages 11-26.
  • Handle: RePEc:fip:fedbne:y:1991:i:jul:p:11-26
    as

    Download full text from publisher

    File URL: http://www.bostonfed.org/economic/neer/neer1991/neer491b.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephen K. McNees, 1989. "How well do financial markets predict the inflation rate?," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 31-46.
    2. Franklin D. Berger & William T. Long, 1989. "The Texas industrial production index," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Nov, pages 21-38.
    3. Zellner, Arnold & Palm, Franz, 1974. "Time series analysis and simultaneous equation econometric models," Journal of Econometrics, Elsevier, vol. 2(1), pages 17-54, May.
    4. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    5. Turnovsky, Stephen J, 1989. "The Term Structure of Interest Rates and the Effects of Macroeconomic Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 21(3), pages 321-347, August.
    6. Jacob A. Mincer, 1969. "Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance," NBER Books, National Bureau of Economic Research, Inc, number minc69-1, March.
    7. Keith R. Phillips, 1988. "New tools for analyzing the Texas economy: indexes of coincident and leading economic indicators," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Jul, pages 1-13.
    8. 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.
    9. William C. Gruben & William T. Long, 1988. "Forecasting the Texas economy: applications and evaluation of a systematic multivariate time series model," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Jan, pages 11-28.
    10. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    11. Martin, Vance L, 1990. "Derivation of a Leading Index for the United States Using Kalman Filters," The Review of Economics and Statistics, MIT Press, vol. 72(4), pages 657-663, November.
    12. 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.
    13. Michael F. Bryan & Ralph L. Day, 1987. "Views from the Ohio manufacturing index," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 20-30.
    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. Katharine L. Bradbury & Yolanda Kodrzycki, 1992. "What past recoveries say about the outlook for New England," New England Economic Review, Federal Reserve Bank of Boston, issue Sep, pages 15-32.

    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. Franck Sédillot, 2001. "La pente des taux contient-elle de l'information sur l'activité économique future ?," Economie & Prévision, La Documentation Française, vol. 147(1), pages 141-157.
    2. Hafer, R. W. & Kutan, Ali M. & Su Zhou, 1997. "Linkage in EMS term structures: evidence from common trend and transitory components," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 595-607, August.
    3. Edward N. Gamber, 1996. "The policy content of the yield curve slope," Review of Financial Economics, John Wiley & Sons, vol. 5(2), pages 163-179.
    4. Jakas, Vicente, 2011. "Theory and empirics of an affine term structure model applied to European data," MPRA Paper 36029, University Library of Munich, Germany.
    5. Hamilton, James D & Kim, Dong Heon, 2002. "A Reexamination of the Predictability of Economic Activity Using the Yield Spread," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 340-360, May.
    6. Njindan Iyke, Bernard, 2015. "On The Term Structure of South African Interest Rates: Cointegration and Threshold Adjustment," MPRA Paper 67681, University Library of Munich, Germany.
    7. Bernard Njindan Iyke, 2017. "On the term structure of South African interest rates: cointegration and threshold adjustment," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 9(4), pages 300-321.
    8. Chang Min LEE & Hahn Shik LEE, 2016. "Improving the Predictive Power of Spreads for Economic Activity: A Wavelet Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 65-78, December.
    9. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2020. "Economic indicators and stock market volatility in an emerging economy," Economic Systems, Elsevier, vol. 44(2).
    10. Morell, Joseph, 2018. "The decline in the predictive power of the US term spread: A structural interpretation," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 314-331.
    11. Andrea Nobili, 2005. "Forecasting Output Growth And Inflation In The Euro Area: Are Financial Spreads Useful?," Temi di discussione (Economic working papers) 544, Bank of Italy, Economic Research and International Relations Area.
    12. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    13. Langfeldt, Enno, 1994. "Die Zinsstruktur als Frühindikator für Konjunktur und Preisentwicklung in Deutschland," Kiel Working Papers 615, Kiel Institute for the World Economy (IfW Kiel).
    14. Modena, Matteo, 2008. "The term structure and the expectations hypothesis: a threshold model," MPRA Paper 9611, University Library of Munich, Germany.
    15. Willi Semmler, 2011. "Asset Prices, Booms and Recessions," Springer Books, Springer, number 978-3-642-20680-1, June.
    16. Modena, Matteo, 2008. "Yield curve, time varying term premia, and business cycle fluctuations," MPRA Paper 8873, University Library of Munich, Germany.
    17. Gallegati, Marco & Ramsey, James B. & Semmler, Willi, 2014. "Interest rate spreads and output: A time scale decomposition analysis using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 283-290.
    18. 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.
    19. Bhaduri, Saumitra & Saraogi, Ravi, 2010. "The predictive power of the yield spread in timing the stock market," Emerging Markets Review, Elsevier, vol. 11(3), pages 261-272, September.
    20. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.

    More about this item

    Keywords

    New England; Employment (Economic theory);

    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:fip:fedbne:y:1991:i:jul:p:11-26. 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: Catherine Spozio (email available below). General contact details of provider: https://edirc.repec.org/data/frbbous.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.