Arbeitspapier

Estimating the trade and welfare effects of Brexit: A panel data structural gravity model

This paper proposes a new panel data structural gravity approach for estimating the trade and welfare effects of Brexit. The suggested Constrained Poisson Pseudo Maximum Likelihood Estimator exhibits some useful properties for trade policy analysis and allows to obtain estimates and confidence intervals which are consistent with structural trade theory. Assuming different counterfactual post-Brexit scenarios, our main findings suggest that UK's exports of goods to the EU are likely to decline within a range between 7.2 percent and 45.7 percent (EU's exports to UK by 5.9 percent to 38.2 percent) six years after the Brexit has taken place. For the UK, the negative trade effects are only partially offset by an increase in domestic goods trade and trade with third countries, inducing a decline in UK's real income between 1.4 percent and 5.7 percent under the hard Brexit scenario. The estimated welfare effects for the EU are negligible in magnitude and statistically not different from zero.

Sprache
Englisch

Erschienen in
Series: WIFO Working Papers ; No. 546

Klassifikation
Wirtschaft
Trade: General
Economic Integration
Estimation: General
Econometric Modeling: General
Thema
Constrained Poisson Pseudo Maximum Likelihood Estimation
Panel Data
International Trade
Structural Gravity Estimation
Trade Policy
Brexit

Ereignis
Geistige Schöpfung
(wer)
Oberhofer, Harald
Pfaffermayr, Michael
Ereignis
Veröffentlichung
(wer)
Austrian Institute of Economic Research (WIFO)
(wo)
Vienna
(wann)
2017

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Oberhofer, Harald
  • Pfaffermayr, Michael
  • Austrian Institute of Economic Research (WIFO)

Entstanden

  • 2017

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