Economics at your fingertips  

TEMAP2.R: True and Error model analysis program in R

Michael H. Birnbaum and Edika G. Quispe-Torreblanca

Judgment and Decision Making, 2018, vol. 13, issue 5, 428-440

Abstract: True and Error Theory (TET) provides a method to separate the variability of behavior into components due to changing true policy and to random error. TET is a testable theory that can serve as a statistical model, allowing one to evaluate substantive theories as nested, special cases. TET is more accurate descriptively and has theoretical advantages over previous approaches. This paper presents a freely available computer program in R that can be used to fit and evaluate both TET and substantive theories that are special cases of it. The program performs Monte Carlo simulations to generate distributions of test statistics and bootstrapping to provide confidence intervals on parameter estimates. Use of the program is illustrated by a reanalysis of previously published data testing whether what appeared to be violations of Expected Utility (EU) theory (Allais paradoxes) by previous methods might actually be consistent with EU theory.

Keywords: True and Error Theory; R; Monte Carlo simulation; expected utility theory; paradoxes (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) (application/pdf) (text/html)

Related works:
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:

Access Statistics for this article

Judgment and Decision Making is currently edited by Jonathan Baron

More articles in Judgment and Decision Making from Society for Judgment and Decision Making
Bibliographic data for series maintained by Jonathan Baron ().

Page updated 2018-12-22
Handle: RePEc:jdm:journl:v:13:y:2018:i:5:p:428-440