The EMU Effect on Trade
A Re‐Assessment Accounting for Staggered Treatment Adoption
Bibliographic Data
| ID | 21543543 |
|---|---|
| Authors | Carmen Díaz Mora (0000-0002-2440-4865, University of Castilla‐La Mancha Toledo Spain), Carmen Díaz‐Mora (University of Castilla-La Mancha), Silviano Esteve-Pérez (0000-0001-8096-6259, University of Valencia and INTECO Joint Research Unit UJI‐UV Valencia Spain), Salvador Gil‐Pareja (0000-0003-3746-2228, University of Valencia and INTECO Joint Research Unit UJI‐UV Valencia Spain, corresponding author), Fernando Ríos‐avila (Levy Economics Institute of Bard College New York New York USA) |
| Year | 2026 |
| Volume | 49 |
| Issue | 2 |
| Pages | 244-260 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | World Economy (JOURNAL) |
| Journal identifiers | ISSN: 0378-5920 • E-ISSN: 1467-9701 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/twec.70028 |
| OpenAlex | W7110101058 |
| Language | EN |
| References cited | 51 |
This paper estimates the EMU effect on trade accounting for heterogeneous effects across space and time. We use an extended two‐way fixed‐effect estimator for staggered difference‐in‐differences within the structural gravity model. The average EMU impact on trade between members accounting for the heterogeneity of the treatment effect at the cohort‐year level is positive (about 15%) but similar to that found using the standard two‐way fixed‐effects estimator. However, the new approach allows analysing the EMU impact by cohorts and by periods from treatment, which reveals heterogeneity in the results and provides new insights on the impact of EMU
Average treatment effect · Estimation · Estimator · Gravity equation · National accounts · Advanced Causal Inference Techniques · Global trade and economics · Politics, Economics, and Education Policy
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| Highly cited | No |
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