Labour market characteristics and surviving import shocks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper investigates whether different labour market characteristics amplify or dampen the local labour market impacts from Chinese import competition exposure. I exploit state‐level variation in initial, pre‐shock labour market characteristics and regional variation across local labour markets in exposure to Chinese imports for identification. I find that local labour markets in states with higher union density experience more severe adverse consequences as a result of increased import exposure. Conversely, higher initial minimum wages help mute the negative impacts of the China shock. I also provide some evidence that exceptions to employment‐at‐will legislation can affect employment responses to increased Chinese imports. Finally, examining all policies together in an index, I show that higher levels of policies intended to benefit and protect workers can actually magnify the extent of the damage inflicted by import competition. My results suggest that initial labour market characteristics and policies can play an important role in understanding why local labour markets react differently to trade shocks.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.007 | 0.003 |
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