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A Bayesian spatial probit estimation of Free Trade Agreement contagion

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Abstract

This paper analyzes the spatial interdependence of Free Trade Agreements (FTAs) in a cross-section framework using the Conta-gion Index proposed by Baldwin and Jaimovich (2010). A Bayesian heteroskedastic probit model is estimated, where a spatial lag is built based on the Contagion Index, finding evidence of interdependence related with a domino-like effect. I compare the results with simple probit estimations and other spatial specifications.

Suggested Citation

  • Dany Jaimovich, 2010. "A Bayesian spatial probit estimation of Free Trade Agreement contagion," IHEID Working Papers 07-2010, Economics Section, The Graduate Institute of International Studies.
    • Handle: RePEc:gii:giihei:heidwp07-2010
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    Cited by:

    1. Nie, Fei & Etienne, Xiaoli & Li, Jian & Hu, Hualu, 2025. "Trade liberalization and manufacturing robot adoption: Evidence from Chinese free trade agreements," China Economic Review, Elsevier, vol. 94(PA).
    2. Baldwin, Richard & Jaimovich, Dany, 2012. "Are Free Trade Agreements contagious?," Journal of International Economics, Elsevier, vol. 88(1), pages 1-16.
    3. Yener Kandogan & Jens Hiller, 2018. "Alliances in international governmental organizations, regional trade agreement formation, and multinational enterprise regionalization strategy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(6), pages 729-742, August.

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    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations

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