Modelling of Poor Household in East Kalimantan Using Zero Inflated Ordered Probit (ZIOP) Approach

Noviana Rejeki, Vita Ratnasari*, Muhammad Ahsan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Discrete ordinal response variables often exhibit an “excess” of zeros, which can be attributed to two different data conditions. Conventional ordinal probit models are limited in their ability to explain these excess zeros. The Zero Inflated Ordered Probit (ZIOP) model, which combines binary probit and ordinal probit regression, can be used to address this limitation. This study reviews the empirical analysis of the factors that contribute to poor household levels in East Kalimantan. The goodness-of-fit of the ZIOP and ordinal probit models was assessed using the Vuong test.

Original languageEnglish
Pages (from-to)278-285
Number of pages8
JournalProcedia Computer Science
Volume234
DOIs
Publication statusPublished - 2024
Event7th Information Systems International Conference, ISICO 2023 - Washington, United States
Duration: 26 Jul 202328 Jul 2023

Keywords

  • Marginal Effect
  • Poor Household Rate
  • Vuong Test
  • Zero Inflated Ordered Probit (ZIOP)

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