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Record W6917530527 · doi:10.57912/23865249

TRADE LIBERALIZATION BETWEEN MEXICO AND THE UNITED STATES

2023· dissertation· en· W6917530527 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican University Research Archive · 2023
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsTrade diversionFree tradeTrade creationTrade barrierInternational free trade agreementCommercial policyEconomic integrationTariffBilateral tradeTrade agreement

Abstract

fetched live from OpenAlex

In recent years, there has been growing interest in the concept of linking the United States, Mexico, and Canada together in a North American Common Market. Due to the dismissal of proposals for broad arrangements such as a common market or a customs union, attention has turned to less ambitious forms of trade liberalization, namely, a free trade area or sectoral free trade agreements. The potential of these trade agreements deserves closer attention in both countries. This dissertation examines the effects of a hypothetical U.S.-Mexican Free Trade Area (FTA) in manufactured goods and discusses its possible trade creation and trade diversion effects. The hypothesis under study is that trade creation would outweigh trade diversion if all trade barriers were eliminated between both countries. This study provides policy makers with information about prospective effects of trade negotiations and highlights those industries which are likely to be most sensitive to tariff cuts. A partial equilibrium trade liberalization model is used to compute the short-run impact of the FTA. Estimates of trade diversion are based on the assumption that, in the absence of the FTA, the shares of Third Country suppliers would have remained constant. If these shares decrease, trade diversion has taken place. Trade creation is estimated by considering the expansion in consumption, or the reductions in the shares of domestic suppliers. The results show that trade creation is far greater than the trade diversion; however, they also show an uneven benefit. Mexico will increase its exports only be 15.3 percent, while the United States will increase them by 53.8 percent. Even on items where Mexico apparently had a comparative advantage, the United States will benefit greatly. It was seen that, on items where Mexico had a surplus, this turned into a deficit and, in the best of the cases, the surplus diminished dramatically. Among countries which are economic equals, economic integration comes naturally. Economic integration between unequals does not. In the case of Mexico, the political resistance to formal economic integration with the United States is reinforced by economic inequalities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.071
GPT teacher head0.270
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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