IDEAS home Printed from https://ideas.repec.org/p/ecm/latm04/159.html
   My bibliography  Save this paper

An Estimation of Deep Parameters Describing Argentine Consumer Behaviour

Author

Listed:
  • Lorena Garegnani
  • Hildegart Ahumada

Abstract

This paper investigates the microfoundation of consumer decisions in Argentina. Structural parameters are estimated following the Euler Equation-GMM approach. Attention is focussed on parameter instability, an empirical difficulty for applying this method often pointed out in the literature. The rates of return on assets are approximated by the real interest rate and the rate of growth of real exchange rate as they have been considered as the main variables explaining variations of Argentine “wealth†. The results show that parameter estimates have the expected values and signs. Overidentifying restrictions are tested and the null hypothesis of validity of instruments is not rejected. Estimates are also robust for different specifications of the weighting matrix. However, parameter constancy is jointly rejected. Recursive estimates show that the risk aversion coefficient appears as more unstable than the impatience parameter, which is also the less uncertain within sample. Observed changes in estimates seem to be an appropriate response to different macroeconomic frameworks.

Suggested Citation

  • Lorena Garegnani & Hildegart Ahumada, 2004. "An Estimation of Deep Parameters Describing Argentine Consumer Behaviour," Econometric Society 2004 Latin American Meetings 159, Econometric Society.
  • Handle: RePEc:ecm:latm04:159
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Scott, Alasdair, 2003. "APPLIED MACROECONOMETRICS Carlo A. Favero Oxford University Press, 2001," Macroeconomic Dynamics, Cambridge University Press, vol. 7(2), pages 313-315, April.
    2. Donald W. K. Andrews & Ray C. Fair, 1988. "Inference in Nonlinear Econometric Models with Structural Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(4), pages 615-640.
    3. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, 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. Ahumada, Hildegart A. & Garegnani, Maria Lorena, 2007. "Testing hyperbolic discounting in consumer decisions: Evidence for Argentina," Economics Letters, Elsevier, vol. 95(1), pages 146-150, April.
    2. Mercado, P. Ruben & Cicowiez, Martin, 2013. "Growth analysis in developing countries: empirical issues and a small dynamic model," MPRA Paper 58017, University Library of Munich, Germany.

    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. Joseph E. Gagnon, 1989. "A forward-looking multicountry model: MX3," International Finance Discussion Papers 359, Board of Governors of the Federal Reserve System (U.S.).
    2. Kramer, Charles, 1999. "Noise trading, transaction costs, and the relationship of stock returns and trading volume," International Review of Economics & Finance, Elsevier, vol. 8(4), pages 343-362, November.
    3. Oliner, Stephen D. & Rudebusch, Glenn D. & Sichel, Daniel, 1996. "The Lucas critique revisited assessing the stability of empirical Euler equations for investment," Journal of Econometrics, Elsevier, vol. 70(1), pages 291-316, January.
    4. Otilia Boldea & Alastair R. Hall, 2013. "Testing structural stability in macroeconometric models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 9, pages 206-228, Edward Elgar Publishing.
    5. Lynch, Anthony W. & Wachter, Jessica A., 2013. "Using Samples of Unequal Length in Generalized Method of Moments Estimation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 277-307, February.
    6. Patrick Fève & François Langot, 1995. "La méthode des moments généralisés et ses extensions : théorie et applications en macro-économie," Économie et Prévision, Programme National Persée, vol. 119(3), pages 139-170.
    7. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    8. Hansen, Lars Peter, 2013. "Uncertainty Outside and Inside Economic Models," Nobel Prize in Economics documents 2013-7, Nobel Prize Committee.
    9. Athanasios Geromichalos & Lucas Herrenbrueck, 2022. "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
    10. Athanasopoulos, George & de Carvalho Guillén, Osmani Teixeira & Issler, João Victor & Vahid, Farshid, 2011. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Journal of Econometrics, Elsevier, vol. 164(1), pages 116-129, September.
    11. Chang, Jinyuan & Chen, Song Xi & Chen, Xiaohong, 2015. "High dimensional generalized empirical likelihood for moment restrictions with dependent data," Journal of Econometrics, Elsevier, vol. 185(1), pages 283-304.
    12. Smoluk, H. J. & Neveu, Raymond P., 2002. "Consumption and asset prices: An analysis across income groups," Review of Financial Economics, Elsevier, vol. 11(1), pages 47-62.
    13. Isaiah Andrews & Anna Mikusheva, 2016. "Conditional Inference With a Functional Nuisance Parameter," Econometrica, Econometric Society, vol. 84, pages 1571-1612, July.
    14. Ireland, Peter N., 2003. "Endogenous money or sticky prices?," Journal of Monetary Economics, Elsevier, vol. 50(8), pages 1623-1648, November.
    15. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    16. Andros Gregoriou & Christos Ioannidis, 2007. "Generalized method of moments and present value tests of the consumption-capital asset pricing model under transactions costs: evidence from the UK stock market," Empirical Economics, Springer, vol. 32(1), pages 19-39, April.
    17. Hansen, Lars Peter & Heaton, John & Luttmer, Erzo G J, 1995. "Econometric Evaluation of Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 237-274.
    18. Siddiqi, Hammad, 2015. "Anchoring and Adjustment Heuristic: A Unified Explanation for Equity Puzzles," MPRA Paper 68729, University Library of Munich, Germany.
    19. Epstein, Larry G. & Zin, Stanley E., 2001. "The independence axiom and asset returns," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 537-572, December.
    20. Ariane Szafarz, 2015. "Market Efficiency and Crises:Don’t Throw the Baby out with the Bathwater," Bankers, Markets & Investors, ESKA Publishing, issue 139, pages 20-26, November-.

    More about this item

    Keywords

    consumer behaviour – Euler-Equation – Generalised Method of Moments – parameter instability – recursive estimation.;

    JEL classification:

    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

    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:ecm:latm04:159. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.