Cyclical wage movements in emerging markets compared to developed economies: a general equilibrium comment
Why this work is in the frame
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Bibliographic record
Abstract
I examine distinct cyclical properties of labor markets in emerging economies compared to developed ones from a general equilibrium perspective. The evidence in emerging economies shows that (1) wages are more volatile than income, while (2) employment is less volatile and (3) less pro-cyclical than in developed economies. I use a standard open-economy model to study the implications of wealth effects on labor market dynamics in both emerging and developed economies simultaneously. In contrast to the (partial equilibrium) results of the small open economy (SOE) model, I show that in general equilibrium, strong wealth effects on labor supply in emerging economies are necessary to rationalize the evidence. The model is also consistent with empirical regularities of exchange rate fluctuations, namely (1) excess volatility of real exchange rates, and (2) the negative co-movement between the real exchange rate and relative consumption.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it