Regression Kink With an Unknown Threshold

被引:165
作者
Hansen, Bruce E. [1 ]
机构
[1] Univ Wisconsin, Dept Econ, Madison, WI 53706 USA
基金
美国国家科学基金会;
关键词
Model selection; variable selection; Nonlinear; Nonparametric methods; MODELS; AUTOREGRESSION; INFERENCE;
D O I
10.1080/07350015.2015.1073595
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article explores estimation and inference in a regression kink model with an unknown threshold. A regression kink model (or continuous threshold model) is a threshold regression constrained to be everywhere continuous with a kink at an unknown threshold. We present methods for estimation, to test for the presence of the threshold, for inference on the regression parameters, and for inference on the regression function. A novel finding is that inference on the regression function is nonstandard since the regression function is a nondifferentiable function of the parameters. We apply recently developed methods for inference on nondifferentiable functions. The theory is illustrated by an application to the growth and debt problem introduced by Reinhart and Rogoff, using their long-span time-series for the United States.
引用
收藏
页码:228 / 240
页数:13
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