Essays on international economics and industrial organization
Bibliographic record
Abstract
This dissertation addresses two issues in international economics and one issue in industrial organization. The first two chapters use sticky-price intertemporal optimizing models with incomplete financial markets to analyze the dynamics of the current account after technology shocks and the effects of the optimal monetary policy on current account movements. The third chapter models the upgrade behavior of existing software users and new software users under two market structures. The first chapter studies a small open economy with two sectors. In a perfect foresight, rational expectation general equilibrium model, with sticky prices in the non-traded goods sector, the evolution of the current account following a positive technology shock is efficient even without time consistent optimal monetary policy. The second chapter extends the general equilibrium model to a two-country economy and analyzes the effects of the optimal monetary policy on current account dynamics. The welfare gain for home households from the individual optimal expansionary monetary policy mainly comes from the home country's terms of trade improvement when most firms price the export prices in buyer currency. The third chapter finds that, for the new software version, the software vendor should offer a price discount to existing users and charge a higher price to new users if software users are sufficiently heterogeneous. For the old software version, a price discount should be applied to existing users with a higher price to new users if the price of the co-existing new version is high.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.007 |
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".