Introduction to Discrete choice modelling скачать в хорошем качестве

Introduction to Discrete choice modelling

Abstract: Discrete choice modelling considers the choices that customers face when making decisions with respect to products, brands, categories, or even services such as mode of transportation, store choice, etc. Though, what is generally of interest is the aggregate behaviour of many individuals, which is typically stated in aggregate quantities such as market demand, this aggregate behaviour is the outcome of individual decisions. Discrete choice modelling describes and develops the principles of individual choice theories. They help explain and predict the choices between discrete alternatives by statistically relating the actual choice made by each individual to the attributes and features of both the alternative and the individual. As part of this workshop, we will discuss theories of individual choice behaviour as well as binary choice models, including the setup of the binary logit model and its estimation using maximum likelihood. We will then briefly discuss the multinomial logit model along with its strengths and limitations. About the facilitator: Maya Ganesh an Assistant Professor of Operations Management in the area of Production and Quantitative Methods at the Indian Institute of Management Ahmedabad. Her major research interests are in the area of public sector operations, socially responsible operations and food and agricultural supply chains, with focus on welfare benefit programs. She is currently working on projects related to the impact of information, technology & digitization on performance of supply chains.