IDEAS home Printed from https://ideas.repec.org/a/cup/macdyn/v8y2004i02p273-294_03.html
   My bibliography  Save this article

An Interview With Christopher A. Sims

Author

Listed:
  • HANSEN, LARS PETER

Abstract

Christopher Sims is a well-known intellectual leader in time-series econometrics and applied macroeconomics. Among his many honors and distinctions, he has been the President of the Econometric Society and he is a member of the National Academy of Sciences. He has made fundamental contributions to both statistical theory of time series and empirical macroeconomics. Sims' work is influential precisely because it was motivated by important problems in macroeconomics. Not only did Sims study questions of statistical approximation in abstract environments, he showed how to apply the resulting apparatus to a variety of specific problems confronting applied researchers. The applications include seasonality in economic time series, aggregation over time, and approximation in formulating statistical models with economic underpinnings. Moreover, Sims' contributions to causality in time series and to the development of vector autoregressive methods were complemented by an important body of empirical research. Sims has served as an effective advocate and critic of the extensively used vector autoregressive statistical methods. Motivated by his own and related empirical research, Sims is one of the leaders in rethinking how monetary policy should be modeled and reconsidering the channels by which monetary policy influences economic aggregates. This interview with Chris Sims gives an opportunity to explore further the context of many of these contributions. Sims typically has a unique perspective on many economic problems, a perspective that is articulated in his answers to a variety of questions.

Suggested Citation

  • Hansen, Lars Peter, 2004. "An Interview With Christopher A. Sims," Macroeconomic Dynamics, Cambridge University Press, vol. 8(2), pages 273-294, April.
  • Handle: RePEc:cup:macdyn:v:8:y:2004:i:02:p:273-294_03
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1365100504030184/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Duo Qin, 2006. "VAR Modelling Approach and Cowles Commission Heritage," Working Papers 557, Queen Mary University of London, School of Economics and Finance.
    2. Duo Qin, 2006. "VAR Modelling Approach and Cowles Commission Heritage," Working Papers 557, Queen Mary University of London, School of Economics and Finance.
    3. Qin, Duo & Cagas, Marie Anne & Quising, Pilipinas & He, Xin-Hua, 2006. "How much does investment drive economic growth in China?," Journal of Policy Modeling, Elsevier, vol. 28(7), pages 751-774, October.
    4. Duo Qin, 2014. "Inextricability of Autonomy and Confluence in Econometrics," Working Papers 189, Department of Economics, SOAS University of London, UK.
    5. Trofimov, Ivan D., 2022. "Determinants of the profit rates in the OECD economies: A panel data analysis of the Kalecki's profit equation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 380-397.
    6. Yusuf, Shahid & Nabeshima, Kaoru & Wei Ha, 2007. "What makes cities healthy ?," Policy Research Working Paper Series 4107, The World Bank.

    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:cup:macdyn:v:8:y:2004:i:02:p:273-294_03. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/mdy .

    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.