Cash Looi

Cash Looi

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About me

Hi, I’m Cash. I am a third-year PhD candidate in the Department of Econometrics and Business Statistics at Monash University.

My research primarily focuses on categorical data analysis and Bayesian methods. I am interested in developing flexible statistical frameworks to better understand choice behavior and asymmetric preferences. My experience also includes household survey design and applied research in housing affordability.

Working paper

[1] A Multinomial Probit Model for Asymmetric Choice Responses.
Joint work with Ruben Loaiza-Maya, and Didier Nibbering.

Publication

[1] Measuring subjective housing affordability using a data-driven discrete information approach: A case study of Selangor, Malaysia. Applied Economics Letters (2024). Joint work with Jason Wei Jian Ng, Tomas Zelinsky, and Catherine Forbes.

Book chapter

[1] Beyond the 30% Threshold: Introducing a Subjective Indicator for Measuring Housing Affordability in Malaysia, in S. Vaithilingam, M. Nair, H.Q. Yeng & J.W.J. Ng (Eds.): Malaysian Housing Affordability: Deciphering the Black Box (pp. 27-56), De Gruyter (2025). Joint work with Jason Wei Jian Ng, Catherine Forbes, and Tomas Zelinsky.

Software

[1] blockstrap: Sample dataframes by a group, CRAN. Joint work with Michael Lydeamore, Kenyon Ng, and Mitchell O’Hara-Wild.

Talks

  • Melbourne Workshop on Macroeconomics, Finance, & Policy 2026, Melbourne Business School, Australia.

  • The 2026 ISBA World Meeting, Nagoya, Japan — Best Poster Prize.

  • The Bayesian Young Statisticians Meeting (BAYSM 2026), Chiba University, Japan.

  • Bayes on the Beach 2026, University of Wollongong, Australia.