Predicting savings adequacy using machine learning: A behavioural economics approach
This paper proposes a machine-learning-based method that can predict individuals' savings adequacy in the presence of mental accounting. The proposed predictive model perceives wealth and consumption, each of which is being divided into three non-fungible distinct classes. The predictive model...
Saved in:
Main Authors: | Alam, Muhammad Aizat bin Zainal, Yong, Chen Chen, Mansor, Norma |
---|---|
Format: | Article |
Published: |
Elsevier
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/41990/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Low savings rates in the Economic Community of West African States (ECOWAS): Does corruption matter?
by: Abu, Nurudeen, et al.
Published: (2015) -
Low savings rates in the economic community of West African States (Ecowas): The role of the political instability-income interaction
by: Abu, Nurudeen, et al.
Published: (2014) -
Alternative Approach to Determination of Malaysian Economic Behaviour
by: Zarei, Alireza, et al.
Published: (2016) -
The post office savings bank an economic analysis of a saving institution / Yeong Toong Fatt
by: Yeong, Toong Fatt
Published: (1967) -
Drivers of future savings of Malaysian households
by: Ahmad, Nor Hayati, et al.
Published: (2021)