Public Deficits in USMCA Economies During the COVID-19 Economic Crisis
Bibliographic record
Abstract
This paper aims to evaluate the fiscal policy implemented by the USMCA economies to deal with the COVID-19 economic crisis. We estimate the economic capacity (potential output) and the Cyclical Primary Balance as a percentage of GDP (CPB) of each of the scrutinized economies. Then we obtain the Cyclical Adjusted Primary Balance as a percentage of GDP (CAPB) as the difference between the Primary Balance (PB) and the CPB. Unlike previous CPB estimations, we obtain the potential output reference as the Economic Capacity methodology (Shaikh and Moudud, 2004), which overcome some alternative methodologies problems. According to our empirical analysis, an asymmetric fiscal policy stands across USMCA economies. Canada and the United States are using a countercyclical fiscal policy, while Mexico uses a procyclical one. Mexico should abandon its current fiscal policy, implement an alternative to support households and firms during crisis periods, and execute a progressive fiscal reform. Our paper's limitation is that we use PB and not its components to estimate the CPB; however, we use a more extended time series, contributing to obtaining more robust results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".