IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20070017.html
   My bibliography  Save this paper

Derived Measurement in Macroeconomics: Two Approaches for Measuring the NAIRU Considered

Author

Listed:
  • Peter Rodenburg

    (Universiteit van Amsterdam)

Abstract

This paper investigates two different procedures for the measurement of the NAIRU; one based on structural modeling while the other is a statisticai approach using Vector Auto Regression (VAR)-models. Both measurement procedures are assessed by confronting them with the dominant theory of measurement, the Representation Theory of Measurement, which states that for sound measurement a strict isomorphism (strict one-to-one mapping) is needed between variations in the phenomenon (the NAIRU) and numbers.The paper argues that shifts of the Phillips-curve are not a problem for the structural approach to measurement of the NAIRU, as the NAIRU itself is a time-varying concept. It is however, the impossibility to identify the exact shape of the Phillips-curve that causes problems of multiple empirical, relational forms and hence non-unique isomorphic mappings for measurement. While VAR-models are being accused of being ‘atheoretical macroeconometrics’ in the literature, the Wold decomposition theorem applied to the VAR brings out a stable correspondence between variance of the phenomenon (the NAIRU) and numbers and turns the set of equations into an isomorphic mapping that can serve as a useful foundation for the construction of a measuring instrument.

Suggested Citation

  • Peter Rodenburg, 2007. "Derived Measurement in Macroeconomics: Two Approaches for Measuring the NAIRU Considered," Tinbergen Institute Discussion Papers 07-017/1, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20070017
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/07017.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Valerija Botric, 2012. "NAIRU estimates for Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 163-180.

    More about this item

    Keywords

    NAIRU; Phillips curve; VAR-models; Measurement in macroeconomics;
    All these keywords.

    JEL classification:

    • B - Schools of Economic Thought and Methodology
    • E - Macroeconomics and Monetary Economics

    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:tin:wpaper:20070017. 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.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.