Abstract
The gravity model is used frequently to estimate the impact of European Union (EU) Preferential Trade Agreements (PTA) on trade flows. Because of differences in the datasets, sample sizes and independent variables employed, existing studies report very different estimates. This chapter reviews and analyses a large number of results using Meta-Analysis (MA) to provide pooled estimates of the effect of PTA on bilateral trade, based on fixed and random effects models. We test the estimation results for sensitivity to alternative specifications and different control variables. After filtering out potential biases, the MA confirms our expectations of a robust and positive effect of PTA.
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Notes
- 1.
Comprehensive surveys are provided by Nielsen (2003) and Cardamone (2007). Our approach complements these qualitative analyses with a more fine-granted quantitative synthesis. The use of MA has increased in economics; Cipollina and Salvatici (2010b) provide an MA of the literature on the impact of reciprocal trade agreements on trade flows between partners.
- 2.
Empirical economic studies are using MA methods increasingly, in different fields of economic research. A Special Issue of the Journal of Economic Surveys (2005, Vol.19, No. 3) was dedicated to MA.
- 3.
Another graphical method is the Egger test, which detects funnel plot asymmetry by determining whether the intercept significantly deviates from zero, in a regression of the standardized effects estimates against their precision.
- 4.
The “silver medal” mistake arises from the fact that gravity models usually are estimated in log form: in this case, computing the wrong average trade (the arithmetic average corresponding to the log of the sums, rather than the geometric average corresponding to the sum of the logs) tends to overestimate the trade effects. All the studies in our sample use the correct average so we do not have to control for this bias.
- 5.
In this literature, most of the studies using panel techniques rely on static panel data models.
- 6.
Dummies for the 1970s, 1980s and 1990s are not included in the MRA considering studies adopting preference margins since most of the estimates relate only to the 2000s (see Table 5.6).
- 7.
Under the null hypothesis of no effect (γ = 0), no publication selection and independence, the statistic minus twice the sum of the logarithms of the p-values is distributed approximately as a χ 2 with 2n degrees of freedom (Fisher 1932).
- 8.
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Acknowledgments
We acknowledge financial support from the “New Issues in Agricultural, Food and Bio-energy Trade (AGFOODTRADE)” (Small and Medium-scale Focused Research Project, Grant Agreement no. 212036) research project funded by the European Commission, and the “European Union policies, economic and trade integration processes and WTO negotiations” research project funded by the Italian Ministry of Education, University and Research (Scientific Research Programs of National Relevance 2007). We thank Paola Cardamone, Luca De Benedictis and Luca Salvatici for their useful comments on an earlier draft of the chapter. We also thank all participants in the fourth annual international MAER-Net Colloquium, organized by the Meta-Analysis of Economic Research Network and the Hendrix College. The views expressed in this paper are the sole responsibility of the authors and do not necessarily reflect those of the European Commission.
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Cipollina, M., Pietrovito, F. (2011). Trade Impact of European Union Preferential Policies: A Meta-Analysis of the Literature. In: De Benedictis, L., Salvatici, L. (eds) The Trade Impact of European Union Preferential Policies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16564-1_5
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