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Non-linear Regression used in Economic Analysis

Author

Listed:
  • Gabriela Victoria ANGHELACHE

    (Academy of Economic Studies, Bucharest)

  • Constantin ANGHELACHE

    („Artifex” University of Bucharest/ Academy of Economic Studies, Bucharest)

  • Andreea Gabriela BALTAC

    (Academy of Economic Studies, Bucharest/ „Artifex” University of Bucharest)

  • Ligia PRODAN

    (Academy of Economic Studies, Bucharest/ „Dimitrie Cantemir” Christian University, Bucharest)

Abstract

The evolution of economic phenomena do not evolve as linear trajectories, and trajectories can be nonlinear. Analysis of correlations between economic variables can be done by linear functions which are linearized transformations. Do so for the present nonlinear model into an equivalent simple and easy to interpret parameter values or to estimate them.

Suggested Citation

  • Gabriela Victoria ANGHELACHE & Constantin ANGHELACHE & Andreea Gabriela BALTAC & Ligia PRODAN, 2013. "Non-linear Regression used in Economic Analysis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(1), pages 7-18, March.
    • Handle: RePEc:rsr:supplm:v:61:y:2013:i:1:p:7-18
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    Citations

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    Cited by:

    1. Constantin ANGHELACHE & Alexandru MANOLE & Madalina Gabriela ANGHEL & Georgiana NITU, 2016. "Some aspects regarding the extension of Edgeworth test to nonlinear restrictions," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(2), pages 83-86, February.

    More about this item

    Keywords

    evolution; correlations; models;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    Statistics

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