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Abstract Quantification of welfare changes due to trade liberalization plays a crucial role for political decision making. However, significant differences in simulated gains from liberalization do not serve to increase confidence in quantitative assessments based on trade models. A meta‐analysis of trade simulations under the WTO Doha Round is employed to identify model characteristics that influence the magnitude of simulation results. Findings from a simple regression model are plausible and show that each simulation experiment represents a complex interaction of model characteristics and experimental settings that may not easily be communicated to nonexperts. Meta‐analysis proves to be useful for empirically assessing this complexity.
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Stored only when both papers are in the corpus — 10 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.