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Exploring nonlinearity with random field regression

Author

Listed:
  • D. (Derek) Bond
  • Michael J. Harrison
  • Edward J. (Edward Joseph) O'Brien

Abstract

Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This paper introduces a new approach to interpreting such models, which may allow for improved inference about the possible parametric specification of nonlinearity.

Suggested Citation

  • D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2007. "Exploring nonlinearity with random field regression," Working Papers 200717, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:200717
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    File URL: http://hdl.handle.net/10197/1321
    File Function: First version, 2007
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    Keywords

    Random fields; Regression analysis; Economics--Mathematical models;

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