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Improved testing and specification of smooth transition regression models

Oscar Jorda () and Alvaro Escribano ()

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: This paper extends previous work in Escribano and J ordá (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-CarIo 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.

Keywords: Smooth; transition; regression; models; logistic; versus; exponential; lineatity; tests; size; and; power; asymmetries; in; U.; S.; unemployment; rates (search for similar items in EconPapers)
Date: 1997-09
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https://e-archivo.uc3m.es/bitstream/handle/10016/6218/ws976425.PDF?sequence=1 (application/pdf)

Related works:
Working Paper: IMPROVED TESTING AND SPECIFICATION OF SMOOTH TRANSITION REGRESSION MODELS (2003) Downloads
Working Paper: IMPROVED TESTING AND SPECIFICATION OF SMOOTH TRANSITION REGRESSION MODELS Downloads
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