Bibliographic record
Abstract
The purchasing power parity puzzle is among the central issues of international macroeconomics. In my thesis, I document and explain the persistence and volatility of its empirical counterpart - the real exchange rate - as a trade phenomenon arising from heterogeneous physical characteristics of products and geography. In the first chapter, a general equilibrium model with shipping costs that depend on physical characteristics of goods and distance leads to endogenous tradability of goods. Deviations of prices from parity are sustained as long as they do not exceed the heterogeneous trade frictions. The real exchange rate exhibits deviations whose persistence matches the data and, when quadratic adjustment costs in change of trade volume are added to the model, also the volatility of the real exchange rate deviations matches the data as well. The second chapter studies monthly deviations from the law of one price for a group of 63 goods and services in Canada and USA between 1970 and 2000 and relates them to a separate dataset of price-toweight and price-to-volume ratios. Threshold estimates are significantly negatively related to the estimates of the price-to-weight ratios and price-to-volume ratios, respectively. Physical characteristics of goods are important empirical determinants of heterogeneous non-linear behavior of deviations of their prices from parity. The third chapter studies the implications for monetary policy in a general equilibrium model where credit crunches occur due to shifts in the distribution of assets among heterogeneous households.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".