Comparison of goodness-of-fit measures in probit regression model

YAZICI B., ALPU Ö., Yang Y.

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, cilt.36, sa.5, ss.1061-1073, 2007 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 5
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1080/03610910701539898
  • Dergi Adı: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1061-1073
  • Anahtar Kelimeler: binary choice model, goodness-of-fit (GOF), probit regression model, pseudo-R-2, DEPENDENT-VARIABLES, DEMAND
  • Anadolu Üniversitesi Adresli: Evet

Özet

This article examines several goodness-of-fit measures in the binary probit regression model. Existing pseudo-R-2 measures are reviewed, two modified and one new pseudo-R-2 measure are proposed. For the probit regression model, empirical comparisons are made for different goodness-of-fit measures with the squared sample correlation coefficient of the observed response and the predicted probabilities. As an illustration, the goodness-of-fit measures are applied to a "paid labor force" data set.