• Media type: E-Article
  • Title: Threshold regression with endogeneity for short panels
  • Contributor: Gørgens, Tue [Author]; Würtz, Allan H. [Author]
  • Published: Basel: MDPI, 2019
  • Language: English
  • DOI: https://doi.org/10.3390/econometrics7020023
  • ISSN: 2225-1146
  • Keywords: superconsistency ; endogeneity ; C23 ; panel data ; C26 ; dynamic models ; GMM estimation ; threshold regression ; integrated difference kernel IDK estimator ; C24
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  • Description: 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 ÍN-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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)