IDEAS home Printed from https://ideas.repec.org/p/ver/wpaper/14-2011.html
   My bibliography  Save this paper

A panel data approach to price-value correlations

Author

Listed:
  • Andrea Vaona

    (Department of Economics (University of Verona))

Abstract

Resorting to stationary and non-stationary panel data econometrics we offer tests for "Ricardo's 93% theory of value" for 10 OECD countries over different time periods and aggregation levels. The theory does not find empirical support.

Suggested Citation

  • Andrea Vaona, 2011. "A panel data approach to price-value correlations," Working Papers 14/2011, University of Verona, Department of Economics.
  • Handle: RePEc:ver:wpaper:14/2011
    as

    Download full text from publisher

    File URL: http://dse.univr.it//workingpapers/paneldata.pdf
    File Function: First version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ochoa, Eduardo M, 1989. "Values, Prices, and Wage-Profit Curves in the U.S. Economy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 13(3), pages 413-429, September.
    2. Andrew J. Kliman, 2002. "The law of value and laws of statistics: sectoral values and prices in the US economy, 1977--97," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 26(3), pages 299-311, May.
    3. Emilio Díaz & Rubén Osuna, 2006. "Can we trust in cross-sectional price-value correlation measures? some evidence from the case of Spain," Journal of Post Keynesian Economics, M.E. Sharpe, Inc., vol. 28(2), pages 345-363, January.
    4. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    5. Entorf, Horst, 1997. "Random walks with drifts: Nonsense regression and spurious fixed-effect estimation," Journal of Econometrics, Elsevier, vol. 80(2), pages 287-296, October.
    6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    7. Lefteris Tsoulfidis & Theodore Mariolis, 2007. "Labour Values, Prices of Production and the Effects of Income Distribution: Evidence from the Greek Economy," Economic Systems Research, Taylor & Francis Journals, vol. 19(4), pages 425-437.
    8. Lefteris Tsoulfidis, 2002. "Values, prices of production and market prices: some more evidence from the Greek economy," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 26(3), pages 359-369, May.
    9. Steedman, Ian & Tomkins, Judith, 1998. "On Measuring the Deviation of Prices from Values," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 22(3), pages 379-385, May.
    10. Cockshott, W Paul & Cottrell, Allin F, 1997. "Labour Time versus Alternative Value Bases: A Research Note," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 21(4), pages 545-549, July.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Emilio Díaz & Rubén Osuna, 2009. "From correlation to dispersion: geometry of the price-value deviation," Empirical Economics, Springer, vol. 36(2), pages 427-440, May.
    13. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    14. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    15. Emilio Díaz & Rubén Osuna, 2008. "Understanding spurious correlation: a rejoinder to Kliman," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 31(2), pages 357-362, December.
    16. Andrew Kliman, 2008. "What is spurious correlation? a reply to Díaz and Osuna," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 31(2), pages 345-356, December.
    17. Emilio Díaz & Rubén Osuna, 2007. "Indeterminacy in price–value correlation measures," Empirical Economics, Springer, vol. 33(3), pages 389-399, November.
    18. Paul Cockshott & Allin Cottrell, 1998. "Does Marx Need to Transform?," Palgrave Macmillan Books, in: Riccardo Bellofiore (ed.), Marxian Economics: A Reappraisal, chapter 6, pages 70-85, Palgrave Macmillan.
    19. Petrovic, Pavle, 1987. "The Deviation of Production Prices from Labour Values: Some Methodology and Empirical Evidence," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 11(3), pages 197-210, September.
    20. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    21. Lefteris Tsoulfidis & Dimitris Paitaridis, 2009. "Chapter 8 On the labor theory of value: statistical artefacts or regularities?," Research in Political Economy, in: Why Capitalism Survives Crises: The Shock Absorbers, pages 209-232, Emerald Group Publishing Limited.
    22. Vaona, Andrea, 2015. "Price–price deviations are highly persistent," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 86-95.
    23. Emilio Díaz & Rubén Osuna, 2005. "Can we trust in cross-sectional price-value correlation measures? some evidence from the case of Spain," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 28(2), pages 345-363.
    24. S. P. Burke & L. G. Godfrey & A. R. Tremayne, 1990. "Testing AR(1) Against MA(1) Disturbances in the Linear Regression Model: An Alternative Procedure," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 135-145.
    25. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    26. Lefteris Tsoulfidis, 2008. "Price-value deviations: further evidence from input-output data of Japan," International Review of Applied Economics, Taylor & Francis Journals, vol. 22(6), pages 707-724.
    27. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    28. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    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. Vaona, Andrea, 2015. "Price–price deviations are highly persistent," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 86-95.
    2. Andrea Vaona, 2012. "Price-price deviations are highly persistent - extended version," Working Papers 08/2012, University of Verona, Department of Economics.

    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. Vaona, Andrea, 2015. "Price–price deviations are highly persistent," Structural Change and Economic Dynamics, Elsevier, vol. 33(C), pages 86-95.
    2. Andrea Vaona, 2012. "Price-price deviations are highly persistent - extended version," Working Papers 08/2012, University of Verona, Department of Economics.
    3. repec:zbw:rwirep:0557 is not listed on IDEAS
    4. Luisito Bertinelli & Olivier Cardi & Romain Restout, 2015. "Technical Change Biased Toward the Traded Sector and Labor Market Frictions," Working Papers halshs-01252508, HAL.
    5. Acikgoz, Senay & Ben Ali, Mohamed Sami, 2019. "Where does economic growth in the Middle Eastern and North African countries come from?," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 172-183.
    6. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    7. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    8. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    9. BERTINELLI, Luisito & CARDI, Olivier & RESTOUT, Romain, 2020. "Relative Productivity And Search Unemployment In An Open Economy," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    10. Cardi, Olivier & Restout, Romain, 2015. "Imperfect mobility of labor across sectors: a reappraisal of the Balassa–Samuelson effect," Journal of International Economics, Elsevier, vol. 97(2), pages 249-265.
    11. Jäger, Philipp & Schmidt, Torsten, 2016. "The political economy of public investment when population is aging: A panel cointegration analysis," European Journal of Political Economy, Elsevier, vol. 43(C), pages 145-158.
    12. Fantazzini , Dean, 2009. "Econometric Analysis of Financial Data in Risk Management," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 100-127.
    13. Philipp Jäger & Torsten Schmidt, 2015. "The Political Economy of Public Investment when Population is Aging – A Panel Cointegration Analysis," Ruhr Economic Papers 0557, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    14. Liddle, Brantley, 2012. "The Systemic, Long-run Relation among Gasoline Demand, Gasoline Price, Income, and Vehicle Ownership in OECD Countries: Evidence from Panel Cointegration and Causality Modeling," MPRA Paper 52081, University Library of Munich, Germany.
    15. BADALYAN, Gohar & HERZFELD, Thomas & RAJCANIOVA, Miroslava, 2014. "Transport Infrastructure And Economic Growth: Panel Data Approach For Armenia, Georgia And Turkey," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 17(2), pages 1-10, October.
    16. Antonio Afonso & Hüseyin Sen & Ayse Kaya, 2021. "Government Size, Unemployment and Inflation Nexus in Eight Large Emerging Market Economies," Hacienda Pública Española / Review of Public Economics, IEF, vol. 235(1), pages 133-170, March.
    17. Nagmi Moftah Aimer, 2020. "Renewable energy consumption, financial development and economic growth: Evidence from panel data for the Middle East and North African countries," Economics Bulletin, AccessEcon, vol. 40(3), pages 2058-2072.
    18. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    19. Iheonu, Chimere & Asongu, Simplice & Odo, Kingsley & Ojiem, Patrick, 2020. "Financial Sector Development and Investment in Selected ECOWAS Countries: Empirical Evidence using Heterogeneous Panel Data Method," MPRA Paper 107102, University Library of Munich, Germany.
    20. Herzer, Dierk, 2013. "Cross-Country Heterogeneity and the Trade-Income Relationship," World Development, Elsevier, vol. 44(C), pages 194-211.
    21. Daniel, Betty C. & Shiamptanis, Christos, 2013. "Pushing the limit? Fiscal policy in the European Monetary Union," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2307-2321.

    More about this item

    Keywords

    value; price; fixed effects model; random effects model; panel unit root tests; panel cointegration tests.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D46 - Microeconomics - - Market Structure, Pricing, and Design - - - Value Theory

    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:ver:wpaper:14/2011. 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: Michael Reiter (email available below). General contact details of provider: https://edirc.repec.org/data/isverit.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.