Estimation of disaggregate Huff and \textit{Kaiyu} Markov model: a lecture note on conditional logit model

DOI10.1007/978-981-99-1241-4_6OpenAlexW4386561481MaRDI QIDQ6120627

Masakuni Iwami, Saburo Saito, Kosuke Yamashiro

Publication date: 25 March 2024

Published in: New Frontiers in Regional Science: Asian Perspectives (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-981-99-1241-4_6

zbMATH Keywords

maximum likelihoodrandom utility modelconditional logit modeldisaggregate model\textit{Kaiyu} Markov modelhierarchical Huff model

Mathematics Subject Classification ID

Stochastic models in economics (91B70) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Consumer behavior, demand theory (91B42) Spatial models in economics (91B72)

Cites Work

• CVXPY: A Python-Embedded Modeling Language for Convex Optimization
• Euler’s constant: Euler’s work and modern developments
• Discrete Choice Methods with Simulation
• The Non-Absolute Convergence of Gil-Pelaez' Inversion Integral
• Bayesian Modeling Using WinBUGS
• DISCRETE CHOICE AND RATIONAL INATTENTION: A GENERAL EQUIVALENCE RESULT
• Note on the inversion theorem
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