Loss Aversion in Aggregate Macroeconomic Time Series
Rina Rosenblatt-Wisch
No 2007-06, Working Papers from Swiss National Bank
Abstract:
Prospect theory has been the focus of increasing attention in many Fields of economics. However, it has scarcely been addressed in macro-economic growth models - neither on theoretical nor on empirical grounds. In this paper we use prospect theory in a stochastic optimal growth model. Thereafter, the focus lies on linking the Eulerequation obtained from a prospect theory growth model of this kind to real macroeconomic data. We will use Generalized Method of Moments (GMM) estimation to test the implications of such a non-linear prospect utility Euler equation. Our results indicate that loss aversion can be traced in aggregate macroeconomic time series.
Keywords: Ramsey growth model; loss aversion; prospect theory; GMM (search for similar items in EconPapers)
JEL-codes: E21 O41 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.snb.ch/en/publications/research/workin ... orking_paper_2007_06 (text/html)
Related works:
Journal Article: Loss aversion in aggregate macroeconomic time series (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:snb:snbwpa:2007-06
Access Statistics for this paper
More papers in Working Papers from Swiss National Bank Contact information at EDIRC.
Bibliographic data for series maintained by Enzo Rossi ().