Estimation and inference in unstable NLS models

O. Boldea, A.R. Hall

Research output: Contribution to journalArticleScientificpeer-review

Abstract

There is compelling evidence that many macroeconomic and financial variables are not generated by linear models. This evidence is based on testing linearity against either smooth nonlinearity or piece-wise linearity, but there is no framework that encompasses both. This paper provides an econometric framework that allows for both breaks and smooth nonlinearity in between breaks. We estimate the unknown break-dates simultaneously with other parameters via nonlinear least-squares. Using new central limit results for nonlinear processes, we provide inference methods on break-dates and parameter estimates and several instability tests. We illustrate our methods via simulated and empirical smooth transition models with breaks.
Original languageEnglish
Pages (from-to)158-167
JournalJournal of Econometrics
Volume172
Issue number1
DOIs
Publication statusPublished - 2013

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Linearity
Break dates
Inference
Nonlinearity
Financial variables
Econometrics
Nonlinear least squares
Smooth transition models
Macroeconomic variables
Testing
Nonlinear process

Cite this

Boldea, O. ; Hall, A.R. / Estimation and inference in unstable NLS models. In: Journal of Econometrics. 2013 ; Vol. 172, No. 1. pp. 158-167.
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Estimation and inference in unstable NLS models. / Boldea, O.; Hall, A.R.

In: Journal of Econometrics, Vol. 172, No. 1, 2013, p. 158-167.

Research output: Contribution to journalArticleScientificpeer-review

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