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FTA effects on agricultural trade with matching approaches

Author

Listed:
  • Lee, GaSeul
  • Lim, Song Soo

Abstract

While the trade effect of free trade agreements (FTAs) is a global issue, little research has examined the economic effects of trade liberalization on agricultural products with robust empirical methods. In this study, propensity score matching for controlling selection bias is used to examine and analyze the effect of FTAs on the trade of South Korea's agricultural products. To enhance the robustness of estimated results, differences between the FTA treatment effects in 2010 and 2012 are analyzed. The results reveal that the effect of FTAs on agricultural trade varies slightly, depending on the matching approach used; however, the signs of all estimated average treatment effects on the treated (ATT) values are positive, and more values are positive in 2012 than in 2010. Analysis of the difference between selection bias controlled through matching and uncontrolled selection bias shows the value of the average treatment effect (ATE) with uncontrolled bias is greater than the ATT estimate calculated through matching. This implies that controlled versus uncontrolled selection bias can result in different ATE and ATT estimates, and that prior studies on FTA trade effects have overestimated the effect, as selection bias was not addressed therein.

Suggested Citation

  • Lee, GaSeul & Lim, Song Soo, 2015. "FTA effects on agricultural trade with matching approaches," Economics Discussion Papers 2015-25, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwedp:201525
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    Citations

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    Cited by:

    1. Pei‐Yu Chi & Ting‐Yu Chang & Kuo‐I Chang, 2022. "Evaluating the impact of preferential trade agreement on fishery imports: An application of difference‐in‐differences with matching method," Agricultural Economics, International Association of Agricultural Economists, vol. 53(1), pages 90-124, January.
    2. Nadezda JANKELOVA & Dusan MASAR & Stefania MORICOVA, 2017. "Risk factors in the agriculture sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(6), pages 247-258.
    3. Xu, Helian & Feng, Lianyue & Wu, Gang & Zhang, Qi, 2021. "Evolution of structural properties and its determinants of global waste paper trade network based on temporal exponential random graph models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Chi, Pei-Yu & Lee, Kuei-Chun & Chang, Kuo-I, 2022. "Causal effect of tourist visa exemption schemes on international tourist arrivals," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 427-449.

    More about this item

    Keywords

    free trade agreements; agricultural trades; propensity score matching; selection bias;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • F15 - International Economics - - Trade - - - Economic Integration
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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