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Applied Microeconomics

Applied Microeconomics

The Applied Microeconomics research group unites researchers working on a broad array of topics within such areas as labour economics, economics of education, health economics, family economics, urban economics, environmental economics, and the economics of science and innovation. The group operates in close collaboration with the CAGE Research Centre.

The group participates in the CAGE seminar on Applied Economics, which runs weekly on Tuesdays at 2:15pm. Students and faculty members of the group present their ongoing work in two brown bag seminars, held weekly on Tuesdays and Wednesdays at 1pm. Students, in collaboration with faculty members, also organise a bi-weekly reading group in applied econometrics on Thursdays at 1pm. The group organises numerous events throughout the year, including the Research Away Day and several thematic workshops.

Our activities

Work in Progress seminars

Tuesdays and Wednesdays 1-2pm

Students and faculty members of the group present their work in progress in two brown bag seminars. See below for a detailed scheduled of speakers.

Applied Econometrics reading group

Thursdays (bi-weekly) 1-2pm

Organised by students in collaboration with faculty members. See the Events calendar below for further details

People

Academics

Academics associated with the Applied Microeconomics Group are:


Natalia Zinovyeva

Co-ordinator

Manuel Bagues

Deputy Co-ordinator


Events

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Econometrics Seminar - Abderrahim Taamouti (Liverpool)

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Location: S0.11

Title: Systemic Growth-at-Risk and Growth Spread Measures

Abstract: This paper introduces two novel sets of forward-looking macroeconomic metrics – Systemic Growth-at-Risk (GaR) Measures and Growth Spread Measures – to quantify how growth risks propagate across countries and to assess the net economic benefits/costs of regional economic integration, respectively. The Systemic GaR Measures capture the transmission of downside risks between countries, while the Growth Spread Measures evaluate asymmetric growth outcomes during periods of union-wide expansions and contractions. Applying these tools to the European Union (EU), we illustrate how integration simultaneously fosters shared growth potential and heightens exposure to systemic shocks. We estimate time-varying growth distributions for 18 OECD European countries using two complementary approaches: a multivariate GARCH-Copula framework with copula-based simulation, and a GARCH-Dynamic Conditional Correlation (DCC) model combined with nonparametric bootstrap methods. These techniques generate realistic joint growth scenarios that account for both idiosyncratic shocks and cross-country interdependence. The results reveal substantial heterogeneity in the growth dividends of EU membership. Panel regressions attribute this variation to structural country characteristics such as trade openness, fiscal stance, development level, and exposure to global uncertainty. The framework extends the GaR literature into a multi-country setting, offering new insights into the dual nature of economic unions as both stabilizers and amplifiers of risk.

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