Arash Laghaie

Research Focus

Topics:

  • Choice Modeling
  • Process Models of Decision
  • Rational Inattention
  • Causal Inference

Methodologies: 

  • Bayesian Hierarchical Models
  • Discrete Choice Experiments
  • Bayesian Model Comparison

 [Personal Webpage and CV]

About Me

 

Arash Laghaie is a GSEFM PhD student working at the Chair of Professor Otter.

He is interested in modeling attention in consumer choice and developing new statistical methods to improve inference from datasets used in marketing research. Arash uses Bayesian statistics as the main toolbox for his research. He earned a bachelor’s degree in computer science from Shahid Beheshti University and a MBA from Purdue University.

Projects

Working Papers:  

"Bridging between Hypothetical and Incentivized Choice"   (Job market paper)
Arash Laghaie, Thomas Otter (2021)

"Measuring Evidence for Full Mediation in the Presence of Measurement Error" (Revise & Resubmit at Journal of Marketing Research)
Arash Laghaie, Thomas Otter (2020)
[Paper] [R Package]

 

Work in Progress:

"Estimating Decision Models with Intractable Likelihood Using Pseudo-Marginal MCMC and Data Augmentation"

“Greenwashing Susceptibility”, Joint work with Sarah Nieß and Torsten Bornemann

 

 

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