IDEAS home Printed from https://ideas.repec.org/p/exe/wpaper/1502.html
   My bibliography  Save this paper

Stationarity of Econometric Learning with Bounded Memory and a Predicted State Variable

Author

Listed:
  • Tatiana Damjanovic

    (Department of Economics, University of Exeter)

  • Sarunas Girdenas

    (Department of Economics, University of Exeter)

  • Keqing Liu

    (Department of Economics, University of Exeter)

Abstract

In this paper, we consider a model where producers set their prices based on their prediction of the aggregated price level and an exogenous variable, which can be a demand or a cost-push shock. To form their expectations, they use OLS-type econometric learning with bounded memory. We show that the aggregated price follows the random coefficient autoregressive process and we prove that this process is covariance stationary.

Suggested Citation

  • Tatiana Damjanovic & Sarunas Girdenas & Keqing Liu, 2015. "Stationarity of Econometric Learning with Bounded Memory and a Predicted State Variable," Discussion Papers 1502, University of Exeter, Department of Economics.
  • Handle: RePEc:exe:wpaper:1502
    as

    Download full text from publisher

    File URL: https://exetereconomics.github.io/RePEc/dpapers/DP1502.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Conlisk, John, 1974. "Stability in a Random Coefficient Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 529-533, June.
    2. Honkapohja, Seppo & Mitra, Kaushik, 2003. "Learning with bounded memory in stochastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 27(8), pages 1437-1457, June.
    3. Berardi, Michele & Galimberti, Jaqueson K., 2014. "A note on the representative adaptive learning algorithm," Economics Letters, Elsevier, vol. 124(1), pages 104-107.
    4. Mordecai Ezekiel, 1938. "The Cobweb Theorem," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 52(2), pages 255-280.
    5. George W. Evans & Seppo Honkapohja, 2000. "Convergence for difference equations with vanishing time-dependence, with applications to adaptive learning," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 15(3), pages 717-725.
    6. Sargent, Thomas J., 1993. "Bounded Rationality in Macroeconomics: The Arne Ryde Memorial Lectures," OUP Catalogue, Oxford University Press, number 9780198288695.
    7. Nicholas Kaldor, 1934. "A Classificatory Note on the Determinateness of Equilibrium," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 1(2), pages 122-136.
    Full references (including those not matched with items on IDEAS)

    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. Damjanovic, Tatiana & Girdėnas, Šarūnas & Liu, Keqing, 2015. "Stationarity of econometric learning with bounded memory and a predicted state variable," Economics Letters, Elsevier, vol. 130(C), pages 93-96.
    2. Ashutosh Vashishtha, 2020. "Cobweb price dynamics under the presence of agricultural futures market: theoretical analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 67(2), pages 131-162, June.
    3. Fausto, Cavalli, 2016. "A cobweb model with alternating demand and supply functions," Working Papers 325, University of Milano-Bicocca, Department of Economics, revised 07 Feb 2016.
    4. repec:zbw:bofrdp:2007_032 is not listed on IDEAS
    5. Hommes, Cars & Lux, Thomas, 2013. "Individual Expectations And Aggregate Behavior In Learning-To-Forecast Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 17(2), pages 373-401, March.
    6. Tamotsu Onozaki, 2018. "Nonlinearity, Bounded Rationality, and Heterogeneity," Springer Books, Springer, number 978-4-431-54971-0, September.
    7. Bao, Te & Duffy, John, 2016. "Adaptive versus eductive learning: Theory and evidence," European Economic Review, Elsevier, vol. 83(C), pages 64-89.
    8. Onozaki, Tamotsu & Sieg, Gernot & Yokoo, Masanori, 2000. "Complex dynamics in a cobweb model with adaptive production adjustment," Journal of Economic Behavior & Organization, Elsevier, vol. 41(2), pages 101-115, February.
    9. Shilei Wang, 2015. "The Iterative Nature of a Class of Economic Dynamics," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 9(3), pages 155-168, December.
    10. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    11. George W. Evans & Seppo Honkapohja, 2009. "Expectations, Learning and Monetary Policy: An Overview of Recent Research," Central Banking, Analysis, and Economic Policies Book Series, in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy under Uncertainty and Learning, edition 1, volume 13, chapter 2, pages 027-076, Central Bank of Chile.
    12. Nie, Fengying & Dong, Ling & Bi, Jieying, 2009. "Fluctuation and Cycle of Pork Price in China," 2009 Conference, August 16-22, 2009, Beijing, China 51654, International Association of Agricultural Economists.
    13. Emeric Lendjel, 2000. "The statistical origin of the cobweb diagram," Post-Print halshs-03243880, HAL.
    14. Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan & Van De Velden, Henk, 2007. "Learning In Cobweb Experiments," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 8-33, November.
    15. Emeric Lendjel, 1998. "L'origine statistique du diagramme du cobweb," Working Papers halshs-00268370, HAL.
    16. de Lima, Daruichi Pereira & Fioriolli, José Carlos & Padula, Antonio Domingos & Pumi, Guilherme, 2018. "The impact of Chinese imports of soybean on port infrastructure in Brazil: A study based on the concept of the “Bullwhip Effect”," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 55-76.
    17. Chojnicki, Xavier & Moullan, Yasser, 2018. "Is there a ‘pig cycle’ in the labour supply of doctors? How training and immigration policies respond to physician shortages," Social Science & Medicine, Elsevier, vol. 200(C), pages 227-237.
    18. Cooper, Kristen B. & Schneider, Henry S. & Waldman, Michael, 2017. "Limited rationality and the strategic environment: Further theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 106(C), pages 188-208.
    19. Dufrfesne, Daniel & Vázquez-Abad, Felisa, 2013. "Cobweb theorems with production lags and price forecasting," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-49.
    20. Dieci, Roberto & Mignot, Sarah & Westerhoff, Frank, 2022. "Production delays, technology choice and cyclical cobweb dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    21. Abiola, M. O. & Ada-Okungbowa, C. I., 2012. "Estimation of Farmer's Response to Price Dynamics in Partial Adjusted Autoregressive and Distributive Lagged Models: An Application to Rubber Production in Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 3(1).

    More about this item

    Keywords

    econometric learning; bounded memory; random coefficient autoregressive process; stationarity.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:exe:wpaper:1502. 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: Sebastian Kripfganz (email available below). General contact details of provider: https://edirc.repec.org/data/deexeuk.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.