Threshold Regression for Fixed-T Panel Data with Interactive Fixed Effects

Jan Ditzen, Yiannis Karavias and Joakim Westerlund
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Jan Ditzen: Free University of Bozen-Bolzano
Yiannis Karavias: Brunel University of London
Joakim Westerlund: Lund University

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Abstract: This paper develops a new toolbox for estimation and inference in panel data threshold regression models with interactive fixed effects and a fixed number of time periods, T. The toolbox is designed to be simple, accurate and computationally efficient. It is based on a simple least squares style estimator of the model parameters, and includes a number of inferential procedures for testing hypotheses regarding not only the threshold but also other parameters. The new toolbox is applied to study the impact of inflation on economic growth.

Date: 2026-06
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2606.12184

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