Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/99363
標題: Nonparametric regression with multiple thresholds: Estimation and inference
作者: Yan-Yu Chiou
陳美源
Mei-Yuan Chen
Jau-er Chen
關鍵字: Nonparametric regression;Threshold variable;Threshold value;Significance test
Project: Journal of Econometrics, Volume 206, Issue 2, October 2018, Pages 472-514
摘要: 
This paper examines nonparametric regression with an exogenous threshold variable, allowing for an unknown number of thresholds. Given the number of thresholds and corresponding threshold values, we first establish the asymptotic properties of the local constant estimator for a nonparametric regression with multiple thresholds. However, the number of thresholds and corresponding threshold values are typically unknown in practice. We then use our testing procedure to determine the unknown number of thresholds and derive the limiting distribution of the proposed test. The Monte Carlo simulation results indicate the adequacy of the modified test and accuracy of the sequential estimation of the threshold values. We apply our testing procedure to an empirical study of the 401(k) retirement savings plan with income thresholds.
URI: http://hdl.handle.net/11455/99363
DOI: 10.1016/j.jeconom.2018.06.011
Appears in Collections:財務金融學系所

Files in This Item:
File Description SizeFormat Existing users please Login
378.pdf744.53 kBAdobe PDFThis file is only available in the university internal network    Request a copy
Show full item record
 

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.