Essays in international trade, political economy of protection and firm heterogeneity
Bibliographic record
Abstract
The first two chapters study the effect of foreign lobbies on trade policy of a country which is a member of a Free Trade Agreement (FTA). They rely on a monopolistically competitive political economy model in which the government determines external tariffs endogenously. In the first paper the effect of foreign lobbying under the FTA is examined empirically using Canadian industry-level trade data that allow differentiating of lobby groups by the country of origin. The analysis suggests that the presence of foreign lobbying has a significant effect on the domestic trade policy: the presence of an organized lobbying group in an FTA partner country tends to raise trade barriers while an organized lobbying group of exporters from outside of the FTA is associated with less protection. The second paper analyses political viability of FTAs and their effect on the world trading system in the presence of lobbying by organized foreign interest groups. I show that the FTA in the presence of an organized lobby group in a prospective partner country may cause an increase in the level of protection against imports from third countries and impede trade with non-member countries. I also find that foreign lobby may encourage the local government to enter a welfare-reducing trade-diverting FTA. Finally, I show that the FTA increases the lobbying power of the organized lobby groups of the member countries, which can potentially obstruct the viability of welfare-improving multilateral trade liberalization. The last paper shows that the reason for a higher capital-labor ratio observed for exporting firms is a higher capital intensity of their production technology. Exporters are more productive, more likely to survive and, hence, more likely to repay loans. A higher repayment probability causes creditors to charge lower interest rate and reduces the marginal cost of the firm when a more capital-intensive technology is used. Here, a reduction in international trade costs stimulates exporting firms to use more efficient capital-intensive technologies, while non-exporters switch to less capital-intensive ones. This within-industry change in the composition of technologies reinforces the productivity advantage of exporters and contributes further to industry-wide productivity improvement. The results of model simulations highlight that to 10% of welfare and productivity gains of trade liberalization come from the adoption of new technologies by existing firms in the industry, thus amplifying the effect of resource reallocation from firms' entry and exit.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".