ASYMMETRIC TECHNOLOGICAL CHANGE IN THE MELITZ MODEL: ARE FOREIGN TECHNOLOGICAL IMPROVEMENTS HARMFUL?
Bibliographic record
Abstract
Foreign technological advance unambiguously reduces home welfare in a popular variant \nof the Melitz (2003) model that assumes the presence of a costlessly traded homogeneous \ngood (Demidova, 2008). The present paper shows that this result is sensitive to the \npresence of such a good and is reversed in its absence. Indeed, in a generalized version of \nthe Melitz model that adds a nontraded good and nests the original version as a special \ncase, we show that foreign technological advance always improves home welfare. We \nderive relations that require information on only a few parameters to calibrate the model \nto data. These relations are used to calibrate an international trade model for the United \nStates for quantitative analysis of the welfare effects. US is found to gain much less from \nforeign technological improvements than its trading partners from US improvements.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".