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Threshold Regression with Endogeneity for Short Panels
被引:2
|作者:
Gorgens, Tue
[1
]
Wurtz, Allan H.
[2
,3
]
机构:
[1] Australian Natl Univ, Res Sch Econ, Acton, ACT 2601, Australia
[2] Aarhus Univ, CREATES, Fuglesangs Alle 4, DK-8210 Aarhus V, Denmark
[3] Aarhus Univ, Dept Econ & Business Econ, Fuglesangs Alle 4, DK-8210 Aarhus V, Denmark
来源:
基金:
澳大利亚研究理事会;
关键词:
threshold regression;
dynamic models;
endogeneity;
panel data;
GMM estimation;
integrated difference kernel IDK estimator;
superconsistency;
DYNAMIC PANELS;
MODELS;
D O I:
10.3390/econometrics7020023
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
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 -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.
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页数:8
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