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No. 3 / 2026 — Autumn

Peer-reviewed articles in economics, finance, public policy, and sustainable development.

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Theoretical and Applied Economics
No. 2 / 2026 (647), Summer

A dynamic panel data analysis of the asymmetric impact of labour cost on intra-EU migration

Maria Berta BELU
Bucharest University of Economic Studies, Romania / National Scientific Research Institute for Labour and Social Protection, Romania
Mădălina Ecaterina POPESCU
Bucharest University of Economic Studies, Romania / National Scientific Research Institute for Labour and Social Protection, Romania
Amalia CRISTESCU
Bucharest University of Economic Studies, Romania / National Scientific Research Institute for Labour and Social Protection, Romania

Abstract. This paper investigates the main factors influencing migration inflows within the European Union over the 2013-2024 period. Using a dynamic panel data approach based on the Arellano-Bond GMM estimator, it accounts for persistence in migration patterns and potential endogeneity in socio-economic indicators. The research focuses on the differences between high- and low-inflow countries regarding "push" and "pull" migration factors. Primary results show that labour cost increases act as a significant "pull" factor in high-immigration states, whereas in low-immigration countries it loses statistical significance. Notably, the NEET rate emerges as the strongest inhibitor of immigration across the EU-27, having a substantial negative impact in the low-inflow country model. Moreover, the old age dependency ratio behaves like a "push" factor, while GDP per capita growth positively shapes migration dynamics. These findings suggest that EU migration policies should address the asymmetrical influence of labour cost on intra-EU migration through targeted interventions.

Keywords: labour cost, intra-EU migration, dynamic panel data analysis, high versus low immigration, EU-27 countries.

Contents

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2

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8

A dynamic panel data analysis of the asymmetric impact of labour cost on intra-EU migration

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9

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