IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29069.html
   My bibliography  Save this paper

The Relationship between Wages and Prices in Colombia

Author

Listed:
  • Julio, Juan Manuel
  • Cobo, Adolfo

Abstract

Due to the fact that many reliable indicators of further inflationary pressures do not seem to work anymore, finding whether or not wages Granger cause prices is an important concern for policymaking. However, international evidence on the relationship between wages and prices does not show strong evidence in favor of causation in the direction of prices. The results presented here for Colombian data point to the same direction. This paper differs from previous ones published in Colombia in two aspects. First, we include the Unit Labor Cost(productivity adjusted wages)as a more sensible measure of wages. Second, we base our analysis on a price markup expectations augmented Phillips curve in which we include indicators of aggregate demand and supply shocks, thus avoiding omitted variables bias in our inferences. We worked under alternative stationary/ non stationary VAR models. We found evidence in favor of Granger causality from prices to wages but no evidence of Granger causality in the direction of prices. These results hold only when unit labor cost is used as the wage indicator and under alternative measures of aggregate demand and under different assumptions on the integration properties of the series. The policy implication of these results point to the very careful use of wages as leading indicator of inflation.

Suggested Citation

  • Julio, Juan Manuel & Cobo, Adolfo, 2000. "The Relationship between Wages and Prices in Colombia," MPRA Paper 29069, University Library of Munich, Germany, revised 18 Jul 2000.
  • Handle: RePEc:pra:mprapa:29069
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29069/1/MPRA_paper_29069.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/52676/1/MPRA_paper_29069.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chan Guk Huh & Bharat Trehan, 1995. "Modeling the time-series behavior of the aggregate wage rate," Economic Review, Federal Reserve Bank of San Francisco, pages 3-13.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Juan Manuel Julio R. & Javier Gómez P., 1998. "Output Gap Estimation, Estimation Uncertainty and its Effect on Policy Rules," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 17(34), pages 89-117, December.
    4. Mehra, Yash P, 1991. "Wage Growth and the Inflation Process: An Empirical Note," American Economic Review, American Economic Association, vol. 81(4), pages 931-937, September.
    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. Jesus Otero & Manuel Ramirez, 2002. "On the determinants of the inflation rate in Colombia: a disequilibrium market approach," Borradores de Investigación 3296, Universidad del Rosario.
    2. M. A. Ivanova, 2016. "Analysis of the nature of cause-and-effect relationship between inflation and wage in Russia," Studies on Russian Economic Development, Springer, vol. 27(5), pages 575-584, September.

    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. Yash P. Mehra, 1993. "Unit labor costs and the price level," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 35-52.
    2. Luis A. Gil‐Alana, 2003. "Testing of Fractional Cointegration in Macroeconomic Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 517-529, September.
    3. Jack Strauss & Mark E. Wohar, 2004. "The Linkage between Prices, Wages, and Labor Productivity: A Panel Study of Manufacturing Industries," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 920-941, April.
    4. Yusuf V. Topuz & Hassan Yazdifar & Sunil Sahadev, 2018. "The relation between the producer and consumer price indices: a two-country study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(3), pages 122-130, June.
    5. Arize, Augustine C. & Malindretos, John, 2012. "Nonstationarity and nonlinearity in inflation rate: Some further evidence," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 224-234.
    6. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    7. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    8. Antonia López Villavicencio & Josep Lluís Raymond Bara, 2006. "The short and long-run determinants of the real exchange rate in Mexico," Working Papers wpdea0606, Department of Applied Economics at Universitat Autonoma of Barcelona.
    9. Saaed, A.A.J., 2007. "Inflation and Economic Growth in Kuwait: 1985-2005. Evidence from Co-Integration and Error Correction Model," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
    10. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Value-at-risk Predictions of Precious Metals with Long Memory Volatility Models," MPRA Paper 53229, University Library of Munich, Germany.
    11. John Barkoulas & Christopher Baum & Mustafa Caglayan, 1999. "Fractional monetary dynamics," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1393-1400.
    12. Jan Babecký & Fabrizio Coricelli & Roman Horváth, 2009. "Assessing Inflation Persistence: Micro Evidence on an Inflation Targeting Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(2), pages 102-127, June.
    13. Creel, Jerome & Bihan, Herve Le, 2006. "Using structural balance data to test the fiscal theory of the price level: Some international evidence," Journal of Macroeconomics, Elsevier, vol. 28(2), pages 338-360, June.
    14. Pulapre Balakrishnan & M Parameswaran, 2019. "Modeling the Dynamics of Inflation in India," Working Papers 16, Ashoka University, Department of Economics.
    15. Baum, Christopher F & Karasulu, Meral, 1998. "Modelling Federal Reserve Discount Policy," Computational Economics, Springer;Society for Computational Economics, vol. 11(1-2), pages 53-70, April.
    16. Chen, Pei-Fen & Chien, Mei-Se & Lee, Chien-Chiang, 2011. "Dynamic modeling of regional house price diffusion in Taiwan," Journal of Housing Economics, Elsevier, vol. 20(4), pages 315-332.
    17. Isaac Abunyuwah, 2020. "Modeling Market Integration and Asymmetric Price Transmission Dynamics of Yam Markets in Ghana," Journal of Economics and Behavioral Studies, AMH International, vol. 12(3), pages 23-31.
    18. Shahzad, Syed Jawad Hussain & Raza, Naveed & Balcilar, Mehmet & Ali, Sajid & Shahbaz, Muhammad, 2017. "Can economic policy uncertainty and investors sentiment predict commodities returns and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 208-218.
    19. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    20. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.

    More about this item

    Keywords

    Inflation; Leading Indicators; Phillips curve;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:pra:mprapa:29069. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.