2010
DOI: 10.1111/j.1467-9396.2009.00877.x
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Reciprocal Trade Agreements in Gravity Models: A Meta-Analysis

Abstract: The gravity model is a workhorse tool applicable in a wide range of empirical fields. It is regularly used to estimate the impact of reciprocal trade agreements (RTAs) on trade flows between partners. The studies report very different estimates since there is a significant difference in datasets, sample sizes, and independent variables. This paper combines, explains, and summarizes a large number of results using a meta-analysis approach. We provide pooled estimates, obtained from fixed and random effects mode… Show more

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Cited by 130 publications
(71 citation statements)
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References 24 publications
(36 reference statements)
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“…When the dependent variable of the meta‐study is an estimated parameter retrieved from primary regressions, the publication bias is evident and related to the sign and the statistical significance of the estimates. In such a case, MRA scholars control for publication bias by weighting their observations with appropriate measures for the variability of estimates (Stanley, ; Doucouliagos and Stanley, ; Cipollina and Salvatici, ; Bumann et al ., ; Feld et al ., ). The publication bias in less apparent in a meta‐review of efficiency scores because the dependent variable is not the ‘estimates of an effect’ (Stanley, , p. 13).…”
Section: Introductionmentioning
confidence: 99%
“…When the dependent variable of the meta‐study is an estimated parameter retrieved from primary regressions, the publication bias is evident and related to the sign and the statistical significance of the estimates. In such a case, MRA scholars control for publication bias by weighting their observations with appropriate measures for the variability of estimates (Stanley, ; Doucouliagos and Stanley, ; Cipollina and Salvatici, ; Bumann et al ., ; Feld et al ., ). The publication bias in less apparent in a meta‐review of efficiency scores because the dependent variable is not the ‘estimates of an effect’ (Stanley, , p. 13).…”
Section: Introductionmentioning
confidence: 99%
“…I divide the regression equations and by the estimated standard errors and obtain models and , respectively, with the t ‐statistic as the dependent variable: γijSE(γitalicij)=titalicij=γ0·1SE(γitalicij)+β+eitalicij0truetij=γ0·1italicSEfalse(γijfalse)+β+k=1KαkXijkSE(γitalicij)+eijAfter this modification, the interpretation of the coefficients in Equation is the same: γ 0 is the mean semielasticity corrected for publication bias, β is the measure of publication bias, and ei is the disturbance term. Cipollina and Salvatici () emphasizes that regression may still lead to consistent yet inefficient estimators since the estimates from the same study j are not independent. As a remedy, a clustering procedure is undertaken to adjust the standard errors for intrastudy correlation.…”
Section: Methodsmentioning
confidence: 99%
“…By contrast, trade-diversion effects, which are not always estimated in such models, have been found to be small in magnitude and, in some cases, insignificant. This tendency was identified by Freund and Ornelas (2010) and validated by Cipollina and Salvatici (2010) in their large data analysis of empirical works on the effects of FTAs on trade flows. Cipollina and Salvatici (2010) estimated a robust and positive effect of FTAs that is associated with increasing trade by around 40 per cent.…”
Section: Trade Creation and Trade Diversionmentioning
confidence: 95%
“…Although there are many bilateral FTAs, the most widely assessed FTAs are regional agreements involving more than two trade partners, including the AFTA in Asia; NAFTA in North America; the European Economic Area and the EU in Europe; and, in Latin America, the Latin American Integration Association, Mercosur and the Andean Community (see Cipollina & Salvatici, 2010).…”
Section: Trade Creation and Trade Diversionmentioning
confidence: 99%