2021
DOI: 10.1111/caje.12494
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Estimating the trade and welfare effects of Brexit: A panel data structural gravity model

Abstract: This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit. Assuming different counterfactual post‐Brexit scenarios, our main findings suggest that the UK's exports of goods to the EU are likely to decline within a range between 7.2% and 45.7% six years after Brexit has taken place. For the UK, the negative trade effects are only partially offset by an increase in domestic trade and trade with third countries, inducing a decline in the UK's real inco… Show more

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Cited by 31 publications
(32 citation statements)
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“…However, as discussed by Head and Mayer (2014) and confirmed in Monte Carlo simulations by Sellner (2019), identification of the effects of non‐discriminatory (i.e., time‐varying but bilaterally invariant) trade policy variables without information on domestic trade flows leads to biased estimates. We address this shortcoming by using the panel dataset of Oberhofer and Pfaffermayr (2020) that covers domestic and international trade flows for 63 countries between 2006 and 2012. This allows to identify the effect of unilateral trade policies and costs relative to almost frictionless domestic shipments.…”
Section: Literature On the Costs Of Time To Tradementioning
confidence: 99%
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“…However, as discussed by Head and Mayer (2014) and confirmed in Monte Carlo simulations by Sellner (2019), identification of the effects of non‐discriminatory (i.e., time‐varying but bilaterally invariant) trade policy variables without information on domestic trade flows leads to biased estimates. We address this shortcoming by using the panel dataset of Oberhofer and Pfaffermayr (2020) that covers domestic and international trade flows for 63 countries between 2006 and 2012. This allows to identify the effect of unilateral trade policies and costs relative to almost frictionless domestic shipments.…”
Section: Literature On the Costs Of Time To Tradementioning
confidence: 99%
“…We estimate Equation (1) via CPPML developed in Pfaffermayr (2020a) and recently applied in Oberhofer and Pfaffermayr (2020) for the estimation of the trade and welfare effects of Brexit. Compared to the established dummy variable PPML estimator, the CPPML has three advantages: (a) it allows to obtain reliable confidence bands for the counterfactual predictions, (b) these predictions are always theory‐consistent (obey restrictions) even with data missing at random, and (c) the estimated variances of the structural parameters are not asymptotically downward biased, since CPPML avoids the estimation of a large number of exporter‐time and importer‐time dummies.…”
Section: Empirical Modelmentioning
confidence: 99%
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“…Baier and Welfens (2018) examine, using the gravity model, the impact of Brexit on FDI flows and estimate a decline of FDI inflows to the UK by about 42%. Using a panel data structural gravity approach, and assuming different counterfactual post-Brexit scenarios, Oberhofer and Pfaffermayr (2018) find that six years after Brexit occurs, the UK's (EU's) exports of goods to the EU (UK) are likely to decline by between 7.2% and 45.7% (or 5.9% and 38.2%). They also find that the UK's real income is likely to decline by between 1.4% and 5.7% under a hard Brexit scenario and that welfare effects for the EU are insignificant.…”
Section: Introductionmentioning
confidence: 99%