Firm dynamics and real exchange rate fluctuations: Does trade openness matter? Evidence from Mexico's manufacturing sector
Bibliographic record
Abstract
In this article, we study the effect of North American Free Trade Agreement (NAFTA) on the responsiveness of Mexican economy to real exchange rate shocks. We argue that, by opening the US and Canadian markets to Mexican goods, NAFTA made it easier for domestic producers to take advantage of the opportunities brought by the depreciation of the real exchange rate. To identify this mechanism, we use plant-level data and compare the behavior of employment, production and investment after two big real exchange rate shocks: the first observed in the mid-1980s, the second the Tequila Crisis of 1994–1995. The evidence indicates that after passage of NAFTA exporting firms exhibited higher growth rates of employment, sales and investment vis-à-vis non-exporters. We confirm our results by analyzing the behavior of a control group of firms, that had complete access to the US market during both devaluations, and we show that they responded in a similar way in both events. Finally, we also provide direct evidence on the relationship between exports and tariff reductions brought by NAFTA. Our results support the view that NAFTA has allowed Mexican producers to respond more quickly to real exchange shocks.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".