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Doğrusal Olasılık ve Logit Modelleri ile Parametre Tahmini

Author

Listed:
  • M. Emin İnal
  • Derviş Topuz
  • Okyay Uçan

Abstract

The role of categorical (dummy) variables in regression modelling is investigated in this study. In this respect, it is shown, based on linear probability model and logit model, to what extent the values of dependent dummy variables change with respect to the values of independent variables. The study aims at determining the probability that the students complete their university programs within the period of four years with respect to their scores from the quantitative section in the Turkish University Placement Test (OYS).

Suggested Citation

  • M. Emin İnal & Derviş Topuz & Okyay Uçan, 2006. "Doğrusal Olasılık ve Logit Modelleri ile Parametre Tahmini," Sosyoekonomi Journal, Sosyoekonomi Society, issue 2006-1.
    • Handle: RePEc:sos:sosjrn:060103
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    More about this item

    Keywords

    Linear Probability; Logit Model; Regression.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

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