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A Quantile Based Test of Protection for Sale Model

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  • Imai, Susumu
  • Katayama, Hajime
  • Krishna, Kala

Abstract

This paper proposes a new test of the Protection for Sale (PFS) model by Grossman and Helpman (1994). Unlike existing methods in the literature, our approach does not require any data on political organizations. We formally show that the PFS model provides the following prediction: in the quanitle regression of the protection measure on the inverse import penetration ratio divided by the import demand elasticity, its coefficient should be positive at the quantile close to one. We examine this prediction using the data from Gawande and Bandyopadhyay (2000). The results do not provide any evidence favoring the PFS model.

Suggested Citation

  • Imai, Susumu & Katayama, Hajime & Krishna, Kala, 2007. "A Quantile Based Test of Protection for Sale Model," Queen's Economics Department Working Papers 273608, Queen's University - Department of Economics.
    • Handle: RePEc:ags:quedwp:273608
    DOI: 10.22004/ag.econ.273608
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    2. Vincent Rebeyrol & Julien Vauday, 2008. "Live or let die: intra-sectoral lobbying on entry," Documents de travail du Centre d'Economie de la Sorbonne bla08036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Imai, Susumu & Katayama, Hajime & Krishna, Kala, 2009. "Protection for sale or surge protection?," European Economic Review, Elsevier, vol. 53(6), pages 675-688, August.
    4. Lorz, Oliver & Thede, Susanna, 2024. "Tariff overhang and aid: Theory and empirics," Journal of Development Economics, Elsevier, vol. 166(C).
    5. Andrew Jonelis & Wisarut Suwanprasert, 2022. "Protection for sale: evidence from around the world," Public Choice, Springer, vol. 191(1), pages 237-267, April.
    6. Imai, Susumu & Katayama, Hajime & Krishna, Kala, 2013. "A quantile-based test of protection for sale model," Journal of International Economics, Elsevier, vol. 91(1), pages 40-52.
    7. Julien Vauday, 2008. "Heterogeneous lobbying efficiency," Documents de travail du Centre d'Economie de la Sorbonne bla08053, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    8. Andrey Stoyanov, 2016. "Regional Trade Agreements and Cross-border Lobbying: Empirical Evidence from the Canada–US Free Trade Agreement Negotiations," Review of International Economics, Wiley Blackwell, vol. 24(1), pages 126-149, February.
    9. Amèvi Rocard Kouwoaye, 2021. "GATT/WTO membership–poverty nexus: An unconditional quantile regression approach," The World Economy, Wiley Blackwell, vol. 44(11), pages 3389-3421, November.
    10. Anne-Célia Disdier & Frank van Tongeren, 2010. "Non-Tariff Measures in Agri-Food Trade: What Do the Data Tell Us? Evidence from a Cluster Analysis on OECD Imports," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 436-455.
    11. Jenq-Tzong Shiau & Jia-Wei Lin, 2016. "Clustering Quantile Regression-Based Drought Trends in Taiwan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1053-1069, February.
    12. Imai, Susumu & Katayama, Hajime & Krishna, Kala, 2009. "Is protection really for sale? A survey and directions for future research," International Review of Economics & Finance, Elsevier, vol. 18(2), pages 181-191, March.

    More about this item

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    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

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