IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v29y2004i4p737-751.html
   My bibliography  Save this article

Used automobile protection and trade: Gravity and ordered probit analysis

Author

Listed:
  • Danilo Pelletiere

    ()

  • Kenneth A. Reinert

    ()

Abstract

There is a great deal of protection against used automobile imports in many countries of the world that has gone largely unnoticed in the trade policy literature. Indeed, there has been no recent attempt to systematically analyze the determinants of used automobile trade and the role of protection in this trade. This paper makes a preliminary attempt, introducing an ordered measure of protection levels in 132 countries. A gravity model of used automobile exports from the United States shows that protection measures against used automobile import have a statistically-significant, suppressive effect on trade flows. An ordered probit analysis of the protection measures themselves points to new automobile production interests as a key factor behind used automobile protection. Other relevant explanatory factors of protection are income levels, democratic regime, transitional status, WTO membership, and income distribution. Copyright Springer-Verlag 2004

Suggested Citation

  • Danilo Pelletiere & Kenneth A. Reinert, 2004. "Used automobile protection and trade: Gravity and ordered probit analysis," Empirical Economics, Springer, vol. 29(4), pages 737-751, December.
  • Handle: RePEc:spr:empeco:v:29:y:2004:i:4:p:737-751
    DOI: 10.1007/s00181-004-0216-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-004-0216-6
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sofronis Clerides, 2004. "Gains from Trade in Used Goods: Evidence from the Global Market for Automobiles," University of Cyprus Working Papers in Economics 6-2004, University of Cyprus Department of Economics.
    2. BERTINELLI, Luisito & STROBL, Eric & ZOU, Benteng, 2006. "Polluting technologies and sustainable economic development," CORE Discussion Papers 2006052, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Lucas W. Davis & Matthew E. Kahn, 2008. "International Trade in Used Durable Goods: The Environmental Consequences of NAFTA," NBER Working Papers 14565, National Bureau of Economic Research, Inc.
    4. Lucas W. Davis & Matthew E. Kahn, 2010. "International Trade in Used Vehicles: The Environmental Consequences of NAFTA," American Economic Journal: Economic Policy, American Economic Association, vol. 2(4), pages 58-82, November.
    5. Kahouli, Bassem & Maktouf, Samir, 2015. "The determinants of FDI and the impact of the economic crisis on the implementation of RTAs: A static and dynamic gravity model," International Business Review, Elsevier, vol. 24(3), pages 518-529.
    6. Clerides, Sofronis, 2008. "Gains from trade in used goods: Evidence from automobiles," Journal of International Economics, Elsevier, vol. 76(2), pages 322-336, December.
    7. Feng Dai & Songtao Wu & Ling Liang & Zifu Qin, 2016. "Bilateral Trade under Environmental Pressure: Balanced Growth," Journal of Industry, Competition and Trade, Springer, vol. 16(2), pages 209-231, June.

    More about this item

    Keywords

    Used goods; international trade; gravity model; ordered probit; F13; F17; C20; C25;

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:spr:empeco:v:29:y:2004:i:4:p:737-751. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.