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Multidimensional Spline Interpolation: Theory and Applications

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  • Christian Habermann
  • Fabian Kindermann

Abstract

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Suggested Citation

  • Christian Habermann & Fabian Kindermann, 2007. "Multidimensional Spline Interpolation: Theory and Applications," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 153-169, September.
    • Handle: RePEc:kap:compec:v:30:y:2007:i:2:p:153-169
    DOI: 10.1007/s10614-007-9092-4
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    References listed on IDEAS

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    1. Hans Fehr & Christian Habermann, 2008. "Risk Sharing and Efficiency Implications of Progressive Pension Arrangements," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(2), pages 419-443, June.
    2. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    3. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, December.
    4. Shinichi Nishiyama & Kent Smetters, 2005. "Consumption Taxes and Economic Efficiency with Idiosyncratic Wage Shocks," Journal of Political Economy, University of Chicago Press, vol. 113(5), pages 1088-1115, October.
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    More about this item

    Keywords

    Interpolation; Multidimensional cubic splines; C63; C65;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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