IDEAS home Printed from https://ideas.repec.org/a/ier/iecrev/v33y1992i1p159-79.html
   My bibliography  Save this article

Aggregation, Unit Roots and the Time Series Structure on Manufacturing Real Wages

Author

Listed:
  • Rossana, Robert J
  • Seater, John J

Abstract

The effects of both temporal and cross-sectional aggregation on the estimated time-series characteristics of manufacturing real wage data are examined. The effects, especially of temporal aggregation, are found to be quite large and in accord with statistical theory. The well-known results of J. Altonji and O. Ashenfelter (1980), that real wages are a random walk, and of C. R. Nelson and C. I. Plosser (1982), that real wages are an IMA(1, 1) process, both seem to be entirely artifacts of temporal aggregation, with the true models following processes that are much more complex and that display substantial cyclical behavior. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.

Suggested Citation

  • Rossana, Robert J & Seater, John J, 1992. "Aggregation, Unit Roots and the Time Series Structure on Manufacturing Real Wages," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(1), pages 159-179, February.
    • Handle: RePEc:ier:iecrev:v:33:y:1992:i:1:p:159-79
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0020-6598%28199202%2933%3A1%3C159%3AAURATT%3E2.0.CO%3B2-G&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

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

    Citations

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


    Cited by:

    1. Choi, Chi-Young & Mark, Nelson C. & Sul, Donggyu, 2006. "Unbiased Estimation of the Half-Life to PPP Convergence in Panel Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(4), pages 921-938, June.
    2. Ivan Paya & Agustin Duarte & Ken Holden, 2007. "On the Relationship between Inflation Persistence and Temporal Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1521-1531, September.
    3. Yamin Ahmad & Ivan Paya, 2014. "Temporal Aggregation of Random Walk Processes and Implications for Asset Prices," Working Papers 14-01, UW-Whitewater, Department of Economics.
    4. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    5. Aadland, David, 2005. "Detrending time-aggregated data," Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
    6. Casson, Catherine & Fry, J. M., 2011. "Revolutionary change and structural breaks: A time series analysis of wages and commodity prices in Britain 1264-1913," MPRA Paper 27866, University Library of Munich, Germany.
    7. Marcellino, Massimiliano, 1999. "Some Consequences of Temporal Aggregation in Empirical Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 129-136, January.
    8. Casson, Catherine & Fry, J. M. & Casson, Mark, 2011. "Evolution or revolution? a study of price and wage volatility in England, 1200-1900," MPRA Paper 31518, University Library of Munich, Germany.
    9. Hari Luitel & Mehmet Tosun, 2014. "A reexamination of state fiscal health and amnesty enactment," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(5), pages 874-893, October.
    10. Ivan Paya & Agustin Duarte & Ken Holden, 2007. "On the Relationship between Inflation Persistence and Temporal Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1521-1531, September.
    11. repec:lan:wpaper:2606 is not listed on IDEAS
    12. repec:lan:wpaper:2464 is not listed on IDEAS
    13. Kőrösi, Gábor & Lovrics, László & Mátyás, László, 1995. "Aggregation and the long run properties of economic time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 279-286.
    14. Gulasekaran Rajaguru & Michael O’Neill & Tilak Abeysinghe, 2018. "Does Systematic Sampling Preserve Granger Causality with an Application to High Frequency Financial Data?," Econometrics, MDPI, vol. 6(2), pages 1-24, June.
    15. Fleissig, Adrian R. & Strauss, Jack, 1997. "Unit root tests on real wage panel data for the G7," Economics Letters, Elsevier, vol. 56(2), pages 149-155, October.

    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:ier:iecrev:v:33:y:1992:i:1:p:159-79. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley-Blackwell Digital Licensing or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/deupaus.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.