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Author: Mark Harris

Articles by: Mark Harris
Mark is currently a John Curtin Distinguished Professor in the School of Economics, Finance and Property, Curtin University, Western Australia. His research interests and publications have been focused in the areas of applied economics and econometrics in general, and in particular on dynamic panel data models and the application and development of discrete and limited dependent variable models. His broad research areas are predominantly in health, labour, monetary and household-finance economics. He gained his PhD in Econometrics from Monash University, Australia, in 1997, and a BA (Honours), First Class, Economics, in 1989, from the University of Sussex, UK. He teaches primarily into the econometric and data science streams.
Aug 31 by Mark Harris Posted in Econometrics

Anchoring Vignettes and the Compound Hierarchical Ordered Probit (CHOPIT) Model
Self-assessments are a common survey tool but, they can be difficult to analyze due to bias arising from systematic variation in individual reporting styles, known as reporting heterogeneity. Anchoring vignette questions combined with the Compound Hierarchical Ordered Probit (CHOPIT) model, allows researchers to address this issue in survey data (King et al. 2004). This methodology is based on two key identifying assumptions:
  • Response consistency (RC)
  • Vignette equivalence (VE)
In today’s blog we look more closely the fundamental pieces of this modeling technique including the:
  • Typical data set up.
  • Hierarchical Ordered Probit Model (HOPIT).
  • Anchoring vignettes.
  • Likelihood and identifying assumptions used for estimation.
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