The Real Impacts of Financial Constraints. An Investigation Using Canadian Firm Financial Fundamentals.
Bibliographic record
Abstract
This research paper examines the impact of macroeconomic shocks on financially constrained firms using the size index as a financial constraint proxy. Quarterly Canadian business data is analyzed by means of OLS regressions, estimating the effects that the state of the economy, credit market conditions and monetary policy have on growth of business earnings and capital expenditures. The results suggest that state of the economy proxies (namely business production growth, the growth of the employment rate and the growth of wages) are mostly positively correlated with the aforementioned dependent variables. Similarly we find that monetary policy is a strong determinant of the aforementioned regressands. Surprisingly, the data indicates that tight credit market conditions (the growth rate of the prime corporate paper spread over the 3 month treasury bill and the growth of the chartered bank administrative rate spread over the 3 month treasury bill) are generally not statistically significant determinants of such firms’ financial performance and investment decisions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".