Estimating Sentiment and Risk in a Consumption Model: A Factor Analysis Approach
Abstract/Contents
- Abstract
- This empirical paper deals with the impacts of sentiment about the future, short-run risk, and long-run risk in a dynamic economic model of optimal consumption decisions with recursive preferences. The empirical strategy combines both a latent factor method and a democratic orthogonalization technique. The latent factor method is applied to a large database of macroeconomic indicators and a democratic orthogonalization technique is used to separate the relative importance of sentiment about the future and long-run risk channels in shaping optimal consumption decisions. This offers the opportunity to exploit a data rich information base in assessing uncertainty shocks and changes in the dynamics of the state of the economy over time. The empirical results suggest that consumers with recursive preferences are not indifferent to long-run uncertainty shocks to future consumption prospects. Endogenous consumption variations are driven by a multi-component mechanism, where on average the sentiment component accounts for 15.33%, the short-run risk accounts for 16.89%, and the long-run risk pertains to 34.51%. This suggests that channels of economic decisions relating to sentiment about the future and broader attitudes towards short-run and long-run risks are important features to be considered in analyzing dynamic stochastic economic models with recursive utility.
Description
Type of resource | text |
---|---|
Date created | July 28, 2021 |
Creators/Contributors
Author | Bouaddi, Mohammed |
---|---|
Author | Kakeu, Johnson |
Organizer of meeting | Judd, Kenneth |
Organizer of meeting | Pohl, Walter |
Organizer of meeting | Schmedders, Karl |
Organizer of meeting | Wilms, Ole |
Subjects
Subject | optimal consumption, |
---|---|
Subject | recursive utility |
Subject | sentiment |
Subject | short-run risk |
Subject | long-run risk |
Subject | latent factor analysis approach |
Subject | democratic orthogonalization |
Genre | Text |
Genre | Working paper |
Genre | Grey literature |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Bouaddi, M. and Kakeu, J. (2022). Estimating Sentiment and Risk in a Consumption Model: A Factor Analysis Approach. Stanford Digital Repository. Available at https://purl.stanford.edu/tc741vm8696
Collection
SITE Conference 2021
View other items in this collection in SearchWorksContact information
- Contact
- siteworkshop@stanford.edu
Also listed in
Loading usage metrics...