Meier, Verena: Econometric analysis of growth and convergence. 2012
Inhalt
- Introduction
- Classical Solow-type growth and convergence modeling
- Remedies for problems of classical convergence concepts
- Growth determinants
- Nonlinearities
- Heterogeneity
- Location scale effects of growth rate distribution: quantile regression
- Individual effects and technology levels
- Interaction of nonlinearity and heterogeneity
- Nonlinear location scale effects: nonparametric quantile regression
- Nonlinear modeling with convergence clubs: a two-step procedure
- Spatial association
- Level of aggregation
- Empirical applications
- Original data analysis and parametric misspecification
- Robustness, heterogeneity, and conditional quantiles
- Conclusion
- Penn World Table country-level data
- District-level data from reunified Germany
- Prefecture-level data from Japan
- Conclusion
- Convergence of the high-skilled in German regions: Using panel and cross-section information to identify clubs, spatial patterns, and nonlinearities
- Classical convergence regression analysis of the high-skilled employees in German regions
- Heterogeneity due to convergence (and divergence) clubs
- Spatial association
- Misspecification of parametric functional form
- Re-analyzing Penn World Tables data
- Conclusion
- Bibliography
- Appendix