Four Simple Tests of Campaign Contributions and Trade Policy Preferences
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Bibliographic record
Abstract
This paper uses campaign contribution data to examine trade policy preferences among political action committees. With perfect factor mobility, as the Heckscher–Ohlin (HO) model assumes, interest group trade positions should depend on their factor of production but not on their industry. We show, consistent with the 2 × 2 HO model, that capital groups consistently back representatives supporting trade liberalization while labor groups favor protectionists. Unlike previous work, we also measure the variation in trade policy preferences within capital and labor groups. We find evidence that the industry net export position significantly affects labor unions' trade policy preferences. Industry characteristics have no impact on capital group lobbying. The former result suggests that empirical analyses of labor PAC contributions that exclude industry characteristics may be misspecified.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it