Dynamic disequilibrium modeling : theory and applications : proceedings of the Ninth International Symposium in Economic Theory and Econometrics
Bibliographic record
Abstract
Volume editors' preface Series editor's preface List of contributors Part I. Survey Papers: 1. Survey of continuous time econometrics A. R. Bergstrom 2. Dynamic disequilibrium economics: history, conceptual foundations, possible futures Claude Hillinger 3. The role of continuous time disequilibrium models in macroeconomics Clifford R. Wymer Part II. Continuous Time Models: 4. Nonlinear estimation of a nonlinear continuous time model Giancarlo Gandolfo, Pier Carlo Padoan, Giuseppe De Arcangelis and Clifford R. Wymer 5. Endogenous regime switching in a model of accumulation, credit and monetary policy D. Delli Gatti, M. Gallegati and P. C. Padoan 6. A note on continuous time dynamic disequilibrium macroeconometric modeling of the United Kingdom K. B. Nowman 7. Evaluation of discrete and continuous time dynamic models by spectral methods with an application to automobile demand Michael Reiter 8. A continuous-time method for modeling optimal investment subject to adjustment costs and gestation lags Peter A. Zadrozny Part III. Business Cycles and Growth: 9. Monopolistic price setting, subjective demand, and the business cycle Alfred Mauszner 10. The G7-countries: a multivariate description of the business cycle stylized facts Ulrich Woitek Part IV. Tests for Nonlinearity: 11. Comparison of the available tests for nonlinearity and chaos William Barnett, A. Ronald Gallant, Melvin Hinich, Mark Jensen and Jochen Jungeilges 12. Testing for nonlinearity in the exchange rate data series: an empirical investigation of the Lira/$ spot rate Laura Sabani Part V. Rationing and Disequilibrium Dynamics: 13. Dynamic stochastic choice modeling of disequilibrium in an economy B. Dejon, F. Graef, H.-J. Meier and J. Novotny 14. Non-linear models of employment adjustment Werner Smolny 15. A simulation study of disequilibrium price dynamics Claus Weddepohl Part VI. Demographic and International Applications: 16. Disequilibrium in the Canadian population distribution, 1952-83 William P. Anderson and Yorgos Y. Papageorgiou 17. Optimality of the target-zone regime Giuseppe De Arcangelis 18. Neighborhood feedbacks, endogenous stratification, and income inequality Steven N. Durlauf.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".