A note on estimating Bass model parameters
Mengzhenyu Zhang, Hyun-Soo Ahn, Joline Uichanco

TL;DR
This paper introduces a straightforward method for estimating the parameters of the Bass model, which predicts new product adoption over time, and proves the convergence rate of the estimation process.
Contribution
It provides a simple estimation approach for the Bass model parameters along with a proof of the convergence rate, enhancing practical application and theoretical understanding.
Findings
Proposed a new simple estimation method for Bass model parameters.
Proved the convergence rate of the estimation process.
Facilitates easier and more reliable parameter estimation in practice.
Abstract
Bass (1969) proposed a model (the Bass model) for the timing of adoptions of a new product, where the adoption rate increases with the number of past adoptions. This model has been widely used in marketing and operations management literature to model new product demand over time. In this note, we provide a simple approach to estimate the Bass model parameters and prove the convergence rate.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInnovation Diffusion and Forecasting
