Factor Intensity reversal and Chaos I
Download full text from publisher
References listed on IDEAS
- Lawrence L. Wu, 2000. "Some Comments on â€œSequence Analysis and Optimal Matching Methods in Sociology: Review and Prospectâ€," Sociological Methods & Research, , vol. 29(1), pages 41-64, August.
- Cramer, J. S. & Ridder, G., 1991. "Pooling states in the multinomial logit model," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 267-272, February.
- Duncan McVicar & Michael Anyadike-Danes, 2002. "Predicting successful and unsuccessful transitions from school to work by using sequence methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 317-334.
More about this item
KeywordsLabor-augmenting externalities; backward dynamics; factor intensity reversal; ergodic oscillations; geometric sensitivity;
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
- O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2004-10-30 (All new papers)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecm:ausm04:86. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/essssea.html .
We have no references for this item. You can help adding them by using this form .