Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm

Structural breaks are often encountered in empirical studies with large panels. This paper considers the estimation of multiple breaks in the mean of panel data model based on a modified screening and ranking algorithm. This algorithm satisfies symmetry and is suitable for both cases where the jump...

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Main Authors: Fuxiao Li, Yanting Xiao, Zhanshou Chen
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/10/1890
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author Fuxiao Li
Yanting Xiao
Zhanshou Chen
author_facet Fuxiao Li
Yanting Xiao
Zhanshou Chen
author_sort Fuxiao Li
collection DOAJ
description Structural breaks are often encountered in empirical studies with large panels. This paper considers the estimation of multiple breaks in the mean of panel data model based on a modified screening and ranking algorithm. This algorithm satisfies symmetry and is suitable for both cases where the jump size of break points is positive and negative. The break points are first initially screened based on the adaptive Fisher’s statistic, followed by further screening of the break points using the threshold criterion, and finally the final break points are screened using the information criterion. Furthermore, the consistency of the break point estimators is proved. The Monte Carlo simulation results show that the proposed method performs well even if the error terms are serially correlated or cross-sectionally correlated. Finally, two empirical examples illustrate the use of this method.
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spelling doaj.art-42604e1a65fa49ca99b0651df33f0f232023-11-19T18:18:18ZengMDPI AGSymmetry2073-89942023-10-011510189010.3390/sym15101890Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking AlgorithmFuxiao Li0Yanting Xiao1Zhanshou Chen2Faculty of Science, Xi’an University of Technology, Xi’an 710048, ChinaFaculty of Science, Xi’an University of Technology, Xi’an 710048, ChinaSchool of Mathematics and Statistics, Qinghai Normal University, Xining 810008, ChinaStructural breaks are often encountered in empirical studies with large panels. This paper considers the estimation of multiple breaks in the mean of panel data model based on a modified screening and ranking algorithm. This algorithm satisfies symmetry and is suitable for both cases where the jump size of break points is positive and negative. The break points are first initially screened based on the adaptive Fisher’s statistic, followed by further screening of the break points using the threshold criterion, and finally the final break points are screened using the information criterion. Furthermore, the consistency of the break point estimators is proved. The Monte Carlo simulation results show that the proposed method performs well even if the error terms are serially correlated or cross-sectionally correlated. Finally, two empirical examples illustrate the use of this method.https://www.mdpi.com/2073-8994/15/10/1890multiple breakspanel data modelscreening and ranking algorithmadaptive Fisher’s statisticinformation criterion
spellingShingle Fuxiao Li
Yanting Xiao
Zhanshou Chen
Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
Symmetry
multiple breaks
panel data model
screening and ranking algorithm
adaptive Fisher’s statistic
information criterion
title Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
title_full Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
title_fullStr Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
title_full_unstemmed Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
title_short Estimation of Multiple Breaks in Panel Data Models Based on a Modified Screening and Ranking Algorithm
title_sort estimation of multiple breaks in panel data models based on a modified screening and ranking algorithm
topic multiple breaks
panel data model
screening and ranking algorithm
adaptive Fisher’s statistic
information criterion
url https://www.mdpi.com/2073-8994/15/10/1890
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AT zhanshouchen estimationofmultiplebreaksinpaneldatamodelsbasedonamodifiedscreeningandrankingalgorithm