Threshold Regression with Endogeneity for Short Panels

Tue Gørgens and Allan Würtz
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Tue Gørgens: Research School of Economics, The Australian National University, Acton, ACT 2601, Australia

Econometrics, 2019, vol. 7, issue 2, 1-8

Abstract: This paper considers the estimation of dynamic threshold regression models with fixed effects using short panel data. We examine a two-step method, where the threshold parameter is estimated nonparametrically at the N -rate and the remaining parameters are estimated by GMM at the N -rate. We provide simulation results that illustrate advantages of the new method in comparison with pure GMM estimation. The simulations also highlight the importance of the choice of instruments in GMM estimation.

Keywords: threshold regression; dynamic models; endogeneity; panel data; GMM estimation; integrated difference kernel IDK estimator; superconsistency (search for similar items in EconPapers)
JEL-codes: B23 C C00 C01 C1 C2 C3 C4 C5 C8 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Threshold regression with endogeneity for short panels (2018)
Working Paper: Threshold regression with endogeneity for short panels (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jecnmx:v:7:y:2019:i:2:p:23-:d:233364

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