DIT is committed to using evidence and analysis to maximise the economic value of our programme of bilateral and multilateral trade agreements. Methods, modelling and measurement of trade agreements is an evolving area of research, while future evidence may include investigation into impacts of new and modernising provisions in trade agreements.
The data, statistics and measurement questions on trade agreements are:
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This question was published as part of the set of ARIs in this document:
What types of trade agreements should the UK join post-Brexit? The world trading system, comprised of multilateral, mega-regional, and bilateral trade agreements offers multiple paths forward for the future of UK trade. ...
Funded by: ESRC
Lead research organisation: University of Cambridge
The project specifically addresses the question by conducting empirical research and providing valuable guidance to policymakers regarding the impact of trade agreements on UK firms.
International trade is of vital importance for modern economies, and governments around the world try to shape their countries' exports and imports through numerous interventions. Given the problems facing trade negotiat...
Funded by: ESRC
Lead research organisation: University of Surrey
The project proposes to use machine learning methods to evaluate the effects of trade agreements on trade flows, which can provide more accurate and superior results compared to existing approaches.
International trade forms a vital part of modern economies. Likewise, many aspects of government policy are directed towards influencing international trade. For instance, governments may join trade agreements, enter cur...
Funded by: ESRC
Lead research organisation: University of Warwick
The project aims to shed light on how aggregation affects estimates in gravity estimation, which can provide insights into the limitations of using aggregate data for understanding the effects of trade agreements.