Research team

Expertise

I am an applied economist with interests in international trade and economic geography. My research studies the impact of trade policy shocks on major aggregate economic outcomes and then aims to understand the roots of recent opposition to liberalization by examining its distributional impact within countries. Import liberalisation brings down import costs and increases competition. But with scale economies, import liberalisation can also reduce the productivity of domestic industry by shrinking its scale, leading to lower exports. As my recent work shows, evidence from the permanent normalisation of US trade relations with China in the early 2000s reveals that increased Chinese import competition indeed reduced US exports through this channel, implying the presence of industry-level scale economies in the US. Nevertheless, aggregate US openness still increased and the liberalisation raised US welfare. I have also worked extensively on the impact of the Brexit referendum on the UK economy (stock market response, consumer prices, foreign direct investments). Using heterogeneity in exposure to import costs across product groups, I estimated that the Brexit depreciation increased UK consumer prices by 2.9%. This represents an £870 per year increase in the cost of living for the average UK household, meaning people have to work 1.4 weeks longer to afford the same goods and services. Using data on announcements of new foreign investment transactions, I also showed evidence that the Brexit vote has led to a 12% increase in the number of new investments made by UK firms in EU27 countries. At the same time, new investments in the UK from the EU27 have declined by 11%. The results are consistent with the idea that UK firms are offshoring production to the EU27 because they expect Brexit to increase barriers to trade and migration, making the UK a less attractive place to invest and create jobs.

Preferential Trade Agreements and Non-Tariff Barriers. 01/05/2024 - 30/04/2028

Abstract

The nature of trade agreements has changed in recent decades. While they were centered around mutual tariff reduction, they have now a much broader scope which involve cooperation on (re)definition of domestic regulations, e.g. the regulation of product standards for environmental, sanitary and safety reasons. This proposal, DEEPTRADE, builds on state-of-the-art tools to provide a thorough assessment of the impact of these new features of trade agreements. DEEPTRADE has three related work packages. WP1 studies the effect that these features have on trade disputes between countries. WP2 investigates the response and adaptation of exporters to these new regulations. WP3 offers a comprehensive framework to assess the welfare effect of these agreements. Assessing the impact of comprehensive trade agreements is challenging. This project not only creates a novel dataset linking trade disputes and trade agreements [WP1], but also combines detailed firm-level data with rich modelling to deepen our understanding of the effects of these new provisions [WP2 and WP3].

Researcher(s)

Research team(s)

Project type(s)

  • Research Project

Doing research on AI-skills in online job vacancy data in Belgium. 14/12/2023 - 13/12/2025

Abstract

The spread of Artificial Intelligence (AI) has generated a variety of responses, ranging from excitement about its capabilities to debates on how to regulate AI. Although much is written in the media about the influence of AI on several sectors of the economy, little research exists on how exactly AI is spreading on the labor market in the EU. After conducting a thorough literature review, this research project will (1) empirically document the spread of AI in the labor market, (2) highlight the change in skill requirements by employers, (3) evaluate which non AI skills and AI skills are complementary, (4) use characteristics of firms that adopt AI to observe spillover effects and (5) formulate policy implications based on the research results. These objectives will be completed using job vacancy data signalling the demand for AI related skills. Alongside skills data, information on firms from employer-employee matched administrative datasets will be used to analyze firm dynamics. Using a combination of econometric methods and machine learning techniques magnitude of changes related to AI on the job market will be evaluated. Our hypothesis is that AI can rapidly replicate many complex tasks in jobs especially requiring high skilled workers, if this hypothesis holds, it would result in redefining the skill requirement in high skilled workers and defining AI complementary in skills. Policymakers and other stakeholders could use this research to design sound policies.

Researcher(s)

Research team(s)

Project type(s)

  • Research Project