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Journal of Economics

, Volume 60, Issue 3, pp 323–340 | Cite as

Book reviews

  • K. W. Rothschild
  • Karen Ehlers
  • E. Sterken
  • Katrin Wesche
  • Kristina Kostial
  • A. Medio
  • Helena E. Nusse
Article
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References

  1. Döring, D., Hanesch, W., and Huster, E.-U. (Eds.) (1990):Armut im Wohlstand. Frankfurt a. M.: Suhrkamp.Google Scholar
  2. Habich, R., and Krause, P. (1992): “Niedrigeinkommen und Armut.” InDatenreport 1992, edited by Statistisches Bundesamt. Bonn: Bundeszentrale für politische Bildung.Google Scholar
  3. Hanesch, W., Adamy, W., Martens, R., et al. (1994):Armut in Deutschland. Reinbek: Rowohlt.Google Scholar
  4. Hauser, R., Cremer-Schäfer, H., and Nouvertné, U. (1981):Armut, Niedrigeinkommen und Unterversorgung in der Bundesrepublik Deutschland. Bestandsaufnahme und sozialpolitische Perspektiven. Frankfurt a. M.: Campus.Google Scholar
  5. Klein, T. (1987):Sozialer Abstieg und Verarmung von Familien durch Arbeitslosigkeit. Eine mikroanalytische Untersuchung für die Bundesrepublik Deutschland. Frankfurt a. M.: Campus.Google Scholar
  6. Seidl, C. (1988): “Poverty Measurement: a Survey.” InWelfare and Efficiency in Public Economics, edited by D. Bös, M. Rose, and C. Seidl. Berlin: Springer.Google Scholar
  7. Sen, A. (1976): “Poverty: an Ordinal Approach to Measurement.”Econometrica 44: 219–231.Google Scholar

References

  1. Banerjee, A., Dolado, J.J., Galbraith, J. W., and Hendry, D. F. (1993):Co-integration, Error Correction and the Econometric Analysis of Non-Stationary Data. Oxford: Oxford University Press.Google Scholar
  2. Davidson, R., and MacKinnon, J. G. (1993):Estimation and Inference in Econometrics. Oxford: Oxford University Press.Google Scholar
  3. Goldberger, A. S. (1993):A Course in Econometrics. Cambridge, MA: Harvard University Press.Google Scholar
  4. Granger, C. W. J. (1994): “A Review of Some Recent Textbooks of Econometrics.”Journal of Economic Literature 32: 115–122.Google Scholar
  5. Greene, W. H. (1993):Econometric Analysis, 2nd ed. New York: Macmillan.Google Scholar
  6. Harvey, A. C. (1990):The Econometric Analysis of Time Series, 2nd ed. Cambridge, MA: MIT Press.Google Scholar
  7. Johansen, S. (1988): “Statistical Analysis of Cointegration Vectors.”Journal of Economic Dynamics and Control 12: 231–254.Google Scholar
  8. (1991): “Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models.”Econometrica 59: 1551–1580.Google Scholar
  9. Judge, G. G., Hill, C. R., Griffith, W. E., Lütkepohl, H., and Lee, T.-C. (1988):Introduction to the Theory and Practice of Econometrics, 2nd ed. New York: John Wiley.Google Scholar
  10. Spanos, A. (1990):Statistical Foundations of Econometric Modeling. Cambridge: Cambridge University Press.Google Scholar

References

  1. Eckmann, J. P., and Ruelle, D. (1985): “Ergodic Theory of Chaos and Strange Attractors.”Review of Modern Physics 57: 617–656.Google Scholar
  2. Jackson, E. A. (1990):Perspectives on Nonlinear Dynamics, 2 vols. Cambridge: Cambridge University Press.Google Scholar
  3. Li, T. Y., and Yorke, J. A. (1975): “Period Three Implies Chaos.”American Mathematical Monthly 82: 985–992.Google Scholar
  4. Ruelle, D. (1989):Chaotic Evolution and Strange Attractors. Cambridge: Cambridge University Press.Google Scholar
  5. Sirovich, L. (1988):Introduction to Applied Mathematics. Berlin: Springer.Google Scholar
  6. Wiggins, S. (1988):Global Bifurcations and Chaos: Analytical Methods. Berlin: Springer.Google Scholar
  7. (1990):Introduction to Applied Nonlinear Dynamical Systems and Chaos. Berlin: Springer.Google Scholar

Copyright information

© Springer-Verlag 1994

Authors and Affiliations

  • K. W. Rothschild
    • 1
  • Karen Ehlers
    • 2
  • E. Sterken
    • 3
  • Katrin Wesche
    • 4
  • Kristina Kostial
    • 5
  • A. Medio
    • 6
  • Helena E. Nusse
    • 7
  1. 1.ViennaAustria
  2. 2.KielGermany
  3. 3.GroningenThe Netherlands
  4. 4.BonnGermany
  5. 5.FlorenceItaly
  6. 6.VeniceItaly
  7. 7.GroningenThe Netherlands

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