The Erosion of Colonial Trade Linkages After Independence.” Centre for Economic Policy Research Discussion Paper 6951
Bibliographic record
Abstract
The majority of independent nations today were part of empires in 1945. Using bilateral trade data from 1948 to 2006, we examine the effect of independence on post-colonial trade. On average, there is little short run effect of trade with the colonizer (metropole). However, after three decades trade declines more than 60%. We also find that trade between former colonies of the same empire erodes as much as trade with the metropole, whereas trade with third countries exhibits small and unsystematic changes after independence. Hostile separations lead to larger and more immediate reductions. Trade deterioration over extended time periods suggests the depreciation of some form of trading capital such as business networks or institutions. ∗We thank participants at the 2006 RSAI meeting in Toronto and the 2007 ERWIT meetings for helpful suggestions. We especially thank Gilles Duranton, Diego Puga, and Patrick Francois for sug-gestions we have incorporated in the paper. Jose ́ de Sousa generously contributed his data on regional agreements and currency unions, and provided helpful comments on earlier versions.
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.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".