IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v36y2010i1p17-36.html
   My bibliography  Save this article

Causal Inference for Structural Equations: With an Application to Wage-Price Spiral

Author

Listed:
  • Pu Chen
  • Chih-Ying Hsiao

Abstract

No abstract is available for this item.

Suggested Citation

  • Pu Chen & Chih-Ying Hsiao, 2010. "Causal Inference for Structural Equations: With an Application to Wage-Price Spiral," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 17-36, June.
    • Handle: RePEc:kap:compec:v:36:y:2010:i:1:p:17-36
    DOI: 10.1007/s10614-010-9202-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10614-010-9202-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10614-010-9202-6?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. Selva Demiralp & Kevin D. Hoover & Stephen J. Perez, 2008. "A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 509-533, August.
    2. Krolzig, Hans-Martin & Peter Flaschel, 2003. "Wage and Price Phillips Curves," Royal Economic Society Annual Conference 2003 128, Royal Economic Society.
    3. Chen, Pu & Chihying, Hsiao, 2007. "Learning Causal Relations in Multivariate Time Series Data," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-43.
    4. Hans-Martin Krolzig, 2003. "General-to-Specific Model Selection Procedures for Structural Vector Autoregressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 769-801, December.
    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. Michail Tsagris, 2021. "A New Scalable Bayesian Network Learning Algorithm with Applications to Economics," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 341-367, January.

    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. Chen, Pu, 2010. "A time series causal model," MPRA Paper 24841, University Library of Munich, Germany.
    2. Chen, Pu & Hsiao, Chih-Ying, 2010. "Looking behind Granger causality," MPRA Paper 24859, University Library of Munich, Germany.
    3. Hans‐Martin Krolzig, 2003. "General‐to‐Specific Model Selection Procedures for Structural Vector Autoregressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 769-801, December.
    4. Toichiro Asada & Carl Chiarella & Peter Flaschel, 2003. "Keynes-Metzler-Goodwin Model Building: The Closed Economy," Working Paper Series 124, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    5. Asada, Toichiro & Chen, Pu & Chiarella, Carl & Flaschel, Peter, 2006. "Keynesian dynamics and the wage-price spiral: A baseline disequilibrium model," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 90-130, March.
    6. Henry L. Bryant & David A. Bessler & Michael S. Haigh, 2009. "Disproving Causal Relationships Using Observational Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 357-374, June.
    7. Peter Flaschel & Peter Skott, 2006. "Steindlian Models Of Growth And Stagnation," Metroeconomica, Wiley Blackwell, vol. 57(3), pages 303-338, July.
    8. Toichiro Asada & Pu Chen & Carl Chiarella & Peter Flaschel, 2004. "Keynesian Dynamics and the Wage Price Spiral. A Baseline Disequilibrium Approach," Macroeconomics 0409001, University Library of Munich, Germany.
    9. Carl Chiarella & Peter Flaschel & Hing Hung, 2006. "Interacting Business Cycle Fluctuations: A Two-Country Model," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(03), pages 365-394.
    10. Carl Chiarella & Peter Flaschel & Peiyuan Zhu, 2003. "The Structure of Keynesian Macrodynamics: A Framework for Future Research," Working Paper Series 129, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    11. Pu Chen & Peter Flaschel, 2005. "Keynesian Dynamics and the Wage–Price Spiral: Identifying Downward Rigidities," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 115-142, February.
    12. Piyachart Phiromswad & Takeshi Yagihashi, 2016. "Empirical identification of factor models," Empirical Economics, Springer, vol. 51(2), pages 621-658, September.
    13. Toichiro Asada & Carl Chiarella & Peter Flaschel & Christian R. Proaño, 2007. "Keynesian AD-AS, Quo Vadis?," Working Paper Series 151, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Bessler, David A. & Leatham, David J. & Yang, Juan, 2005. "In Search of the "Bank Lending Channel": Causality Analysis for the Transmission Mechanism of U.S. Monetary Policy," 2005 Annual meeting, July 24-27, Providence, RI 19558, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Phiromswad, Piyachart, 2015. "Measuring monetary policy with empirically grounded restrictions: An application to Thailand," Journal of Asian Economics, Elsevier, vol. 38(C), pages 104-113.
    16. Selva Demiralp & Kevin Hoover & Stephen Perez, 2014. "Still puzzling: evaluating the price puzzle in an empirically identified structural vector autoregression," Empirical Economics, Springer, vol. 46(2), pages 701-731, March.
    17. Chauvet, Marcelle & Tierney, Heather L. R., 2007. "Real Time Changes in Monetary Policy," MPRA Paper 16199, University Library of Munich, Germany, revised Apr 2009.
    18. Palma, Marco A. & Ribera, Luis A. & Bessler, David A. & Paggi, Mechel S. & Knutson, Ronald D., 2009. "Potential Impacts of Food Borne Ill Incidence on Market Movements and Prices of Fresh Produce in the US," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46745, Southern Agricultural Economics Association.
    19. Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
    20. Piyachart Phiromswad, 2014. "Measuring monetary policy with empirically grounded identifying restrictions," Empirical Economics, Springer, vol. 46(2), pages 681-699, March.

    More about this item

    Keywords

    Automated learning; Inferred causation; Structural equations; Cause–effect relations; C1; C51; E52; J3;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

    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:kap:compec:v:36:y:2010:i:1:p:17-36. 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.