EconPapers    
Economics at your fingertips  
 

IMPROVED TESTING AND SPECIFICATION OF SMOOTH TRANSITION REGRESSION MODELS

Oscar Jorda () and Alvaro Escribano ()

No 210, Working Papers from University of California, Davis, Department of Economics

Abstract: This paper extends previous work in Escribano and Jorda (1997) and introduces new LM specification procedures to choose between Logistic and Exponential Smooth Transition Regression (STR) Models. These procedures are simpler, consistent and more powerful than those previously available in the literature. An analysis of the properties of Taylor approximations around the transition function of STR models permits one to understand why these procedures work better and it suggests ways to improve tests of the null hypothesis of linearity versus the alternative of STR-type nonlinearity. Monte-Carlo experiments illustrate the performance of the different tests introduced. The new procedures are then implemented on a study of the dynamics of the U.S. unemployment rate.

Date: 2003-01-08
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://repec.dss.ucdavis.edu/files/od52Nv2z75CAfv9Pnb4E5ikw/97-26.pdf (application/pdf)

Related works:
Working Paper: Improved testing and specification of smooth transition regression models (1997) Downloads
Working Paper: IMPROVED TESTING AND SPECIFICATION OF SMOOTH TRANSITION REGRESSION MODELS Downloads
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:cda:wpaper:210

Access Statistics for this paper

More papers in Working Papers from University of California, Davis, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by DSS IT Service Center ().

 
Page updated 2019-09-19
Handle: RePEc:cda:wpaper:210