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The Acceptance of Earnings Losses after Voluntary Mobility

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Published/Copyright: January 26, 2011

Published Online: 2011-01-26
Published in Print: 2011-12-01

© 2011 Stefan Schneck, published by Sciendo

Articles in the same Issue

  1. Regular
  2. Estimating Standard Errors for the Parks Model: Can Jackknifing Help?
  3. The Acceptance of Earnings Losses after Voluntary Mobility
  4. Lucas on the Relationship between Theory and Ideology
  5. Low Quality as a Signal of High Quality
  6. Development of Science and Technology Parks in China, 1988–2008
  7. Business Incubators in China: An Inquiry into the Variables Associated with Incubatee Success
  8. Senior Acitivity Rate, Retirement Incentives, and Labor Relations
  9. Comparing and Selecting Performance Measures Using Rank Correlations
  10. The Accuracy of a Forecast Targeting Central Bank
  11. Some Aspects of the Discrete Wavelet Analysis of Bivariate Spectra for Business Cycle Synchronisation
  12. Uncertainty and Capacity Constraints: Reconsidering the Aggregate Production Function
  13. Survey and Overview
  14. Fiscal Policy under Imperfect Competition with Flexible Prices: An Overview and Survey
  15. The Measurement of Inequality and Well-Being: New Perspectives
  16. Inequality Measurement with Subgroup Decomposability and Level-Sensitivity
  17. Polarization Measurement and Inference in Many Dimensions When Subgroups Can Not Be Identified
  18. On Various Ways of Measuring Pro-Poor Growth
  19. Quasi Markets in Education
  20. Labor Market Returns to Higher Education in Vietnam
  21. Tougher Educational Exam Leading to Worse Selection
  22. Policy Paper
  23. Fiscal Policy in Latin America: Countercyclical and Sustainable?
  24. The Social Cost of Carbon
  25. Transient Temperature Response Modeling in IAMs: The Effects of Over Simplification on the SCC
  26. Risk Premia and the Social Cost of Carbon: A Review
  27. A Tale of Tails: Uncertainty and the Social Cost of Carbon Dioxide
  28. New Approaches in Quantitative Modeling of Financial Markets
  29. A New Method for Measuring Tail Exponents of Firm Size Distributions
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