2012
DOI: 10.1007/s10290-012-0134-1
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Preference erosion and the developing countries exports to the EU: a dynamic panel gravity approach

Abstract: Since 2004 there has been a sharp decrease in border protection for the EU rice industry. Because the EU grants trade preferences to a considerable number of rice exporting developing countries, the reform implied preference erosion as well. By addressing the impact of preference erosion on developing countries rice exports to the EU, this paper contributes two original insights to the literature: first, by proposing a new empirical approach to compute the preference margin when tariff rate quotas are in force… Show more

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Cited by 13 publications
(20 citation statements)
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“…To capture the impact of trade agreements most papers have used a simple dummy variable as in Eq. , whereas direct measures of trade policies such as tariffs (Buono and Lalanne, ; Dennis and Shephard, ) or the preference margin (Cipollina and Salvatici, ; Raimondi et al, ) have been little used. We incorporate both the applied tariffs and a dummy for the PTAs of the EU.…”
Section: Empirical Model and Econometric Issuesmentioning
confidence: 99%
“…To capture the impact of trade agreements most papers have used a simple dummy variable as in Eq. , whereas direct measures of trade policies such as tariffs (Buono and Lalanne, ; Dennis and Shephard, ) or the preference margin (Cipollina and Salvatici, ; Raimondi et al, ) have been little used. We incorporate both the applied tariffs and a dummy for the PTAs of the EU.…”
Section: Empirical Model and Econometric Issuesmentioning
confidence: 99%
“…We use a panel data framework to obtain the most reliable estimate of the average expected effect of the European integration process (Baier and Bergstrand, 2007;Magee, 2008;Raimondi et al, 2012), but there are different specifications of the panel gravity equation (compare Egger and Pfaffermayr, 2003;Micco et al, 2003;Baldwin and Taglioni, 2006;Stack, 2009;Sun and Reed, 2010). For our analysis, we choose the panel structure with timefixed and bilateral fixed effects.…”
Section: A Identification Strategy and Datamentioning
confidence: 99%
“…The unobservable bilateral variables – included in the error term – influence the variable of interest (RTA) and volume of trade simultaneously. The best way to account for endogeneity due to omitted variable bias is to use fixed effects modelling (see Baier and Bergstrand, ; Martínez‐Zarzoso et al., ; De Benedictis and Taglioni, ; Raimondi et al., ) . Equation includes the time‐varying multilateral resistance terms (country‐and‐time fixed effects – FEit and FEjt).…”
Section: Empirical Modellingmentioning
confidence: 99%