IDEAS home Printed from https://ideas.repec.org/p/cop/wpaper/op-86.html
   My bibliography  Save this paper

How Does the Share of Imports Change During Structural Adjustment?

Author

Listed:
  • Alan A. Powell

Abstract

Estimating the price responsiveness of market shares during a period of structural transition requires a distinction to be made between responses to variables explicitly recognized in the model and those due to more general changes in the trading environment. Often the latter are minimally modelled as market penetration curves taking the form of a sigmoid trend. Broadly this is the approach followed in the present paper; however, the trend 'parameter' capturing ultimate market share at a fixed level of price competitiveness is itself made a logistic function of the relative price variable measuring such competitiveness. The application of the model is to quarterly data on the share of imports in Australian personal consumption over the 1980s and the first half of the 1990s. Most of the signal relevant to price competition between domestic and imported consumer goods occurred over the four years 1985-1988. This coincided with sizeable movements in the real exchange rate; and therefore, presumably, with collinear movements in the prices of the components within the domestic and the imported aggregates, which would be favourable circumstances for the application of Hicks' composite commodity idea. The responses in aggregate market shares during this episode suggest a very long-run Armington elasticity in the range 3.4 to 4.8, with short-run (quarterly) values of 0.6 to 0.8.

Suggested Citation

  • Alan A. Powell, 1997. "How Does the Share of Imports Change During Structural Adjustment?," Centre of Policy Studies/IMPACT Centre Working Papers op-86, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:op-86
    as

    Download full text from publisher

    File URL: https://www.copsmodels.com/ftp/workpapr/op-86.pdf
    File Function: Initial version, 1997-08
    Download Restriction: no

    File URL: https://www.copsmodels.com/elecpapr/op-86.htm
    File Function: Local abstract: may link to additional material.
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chris M. Alaouze & John S. Marsden & John Zeitsch, 1977. "Estimates of the Elasticity of Substitution Between Imported and Domestically Produced Commodities at the Four Digit ASIC Level," Centre of Policy Studies/IMPACT Centre Working Papers o-11, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Giles, D. E. A. & King, M. L., 1978. "Fourth-order autocorrelation : Further significance points for the Wallis test," Journal of Econometrics, Elsevier, vol. 8(2), pages 255-259, October.
    3. Fry, Jane M. & Fry, Tim R. L. & McLaren, Keith R., 1996. "The stochastic specification of demand share equations: Restricting budget shares to the unit simplex," Journal of Econometrics, Elsevier, vol. 73(2), pages 377-385, August.
    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. Masato Yamazaki & Atsushi Koike & Yoshinori Sone, 2018. "A Heuristic Approach to the Estimation of Key Parameters for a Monthly, Recursive, Dynamic CGE Model," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 283-301, October.
    2. Paris, Quirino & Caracciolo, Francesco, 2012. "Quantity Versus Shares in Estimating Demand Systems," Working Papers 124575, University of California, Davis, Department of Agricultural and Resource Economics.
    3. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    4. Peter Dixon, 2022. "H. David Evans, 1941-2022: Progenitor of Computable General Equilibrium Modelling in Australia," Centre of Policy Studies/IMPACT Centre Working Papers g-331, Victoria University, Centre of Policy Studies/IMPACT Centre.
    5. Arndt, Channing & Heltberg, Rasmus & Jensen, Henning Tarp & Robinson, Sherman & Tarp, Finn, 2002. "Facing the development challenge in Mozambique: an economywide perspective," Research reports 126, International Food Policy Research Institute (IFPRI).
    6. Kapuscinski, Cezary A. & Warr, Peter G., 1999. "Estimation of Armington elasticities: an application to the Philippines," Economic Modelling, Elsevier, vol. 16(2), pages 257-278, April.
    7. José M. R. Murteira & Joaquim J. S. Ramalho, 2016. "Regression Analysis of Multivariate Fractional Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 515-552, April.
    8. Boratynski, Jakub, 2019. "Bayesian Estimation of the Linear Expenditure System," Conference papers 333113, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. repec:rza:wpaper:024 is not listed on IDEAS
    10. Ingvild Almas & Ashild Johnsen, 2018. "The cost of a growth miracle - reassessing price and poverty trends in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 239-264, October.
    11. Peter Dixon & Michael Jerie & Maureen Rimmer, 2016. "Modern Trade Theory for CGE Modelling: The Armington, Krugman and Melitz Models," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 1-110, June.
    12. Sterland, Barry, 1990. "Australian demand for imports in the 1980s," 1990 Conference (34th), February 13-15, 1990, Brisbane, Australia 145413, Australian Agricultural and Resource Economics Society.
    13. Grose, S. & McLaren, K., 2000. "An EM Algorithm for Modelling Variably-Aggregated Demand," Monash Econometrics and Business Statistics Working Papers 2/00, Monash University, Department of Econometrics and Business Statistics.
    14. Defever, F. & Riaño, A., 2022. "Firm-Destination Heterogeneity and the Distribution of Export Intensity," Working Papers 22/01, Department of Economics, City St George's, University of London.
    15. Jonas Dovern & Alexander Glas & Geoff Kenny, 2024. "Testing for differences in survey‐based density expectations: A compositional data approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(6), pages 1104-1122, September.
    16. McLaren, Keith R., 1996. "Parsimonious autocorrelation corrections for singular demand systems," Economics Letters, Elsevier, vol. 53(2), pages 115-121, November.
    17. A. R. Pagan & J. H. Shannon, 1987. "How Reliable are ORANI Conclusions?," The Economic Record, The Economic Society of Australia, vol. 63(1), pages 33-45, March.
    18. Gary Wong & Qiao Yu, 2001. "Inverse Demand Systems for Composite Liquid Assets: Evidence from China," School of Economics and Finance Discussion Papers and Working Papers Series 097, School of Economics and Finance, Queensland University of Technology.
    19. Marcin Pracz & Rod Tyers, 2006. "Strategic Interaction amongst Australia’s East Coast Ports," ANU Working Papers in Economics and Econometrics 2006-471, Australian National University, College of Business and Economics, School of Economics.
    20. Arndt, Channing & Robinson, Sherman & Tarp, Finn, 2002. "Parameter estimation for a computable general equilibrium model: a maximum entropy approach," Economic Modelling, Elsevier, vol. 19(3), pages 375-398, May.
    21. Ou Yang & Peter Sivey & Andrea M. de Silva & Anthony Scott, 2020. "Parents' Demand for Sugar Sweetened Beverages for Their Pre‐School Children: Evidence from a Stated‐Preference Experiment," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 480-504, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

    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:cop:wpaper:op-86. 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: Mark Horridge (email available below). General contact details of provider: https://edirc.repec.org/data/cpmonau.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.