Common Breaks in Means for Cross-Correlated Fixed-T Panel Data
(2019) In Journal of Time Series Analysis 40(2). p.248-255- Abstract
- This note considers a panel data model in which the variable of interest has undergone a common structural break in the mean. The object of interest is the unknown breakpoint. The challenge is to device an estimator that is consistent when the data are cross‐correlated and the number of time periods T is fixed and cannot be increased without bound. The proposed solution involves taking an already existing estimator initially proposed for cross‐section uncorrelated panels and applying it to defactored data. Consistency is established as the number of cross‐section units N grows large, and is verified in small samples using Monte Carlo simulation.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/6eb8bac2-1f34-483d-9cfc-8cd4f898453e
- author
- Westerlund, Joakim LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Time Series Analysis
- volume
- 40
- issue
- 2
- pages
- 248 - 255
- publisher
- Wiley-Blackwell
- external identifiers
-
- scopus:85061098406
- ISSN
- 0143-9782
- DOI
- 10.1111/jtsa.12407
- language
- English
- LU publication?
- yes
- id
- 6eb8bac2-1f34-483d-9cfc-8cd4f898453e
- date added to LUP
- 2018-08-22 16:15:36
- date last changed
- 2022-03-17 08:51:29
@article{6eb8bac2-1f34-483d-9cfc-8cd4f898453e,
abstract = {{This note considers a panel data model in which the variable of interest has undergone a common structural break in the mean. The object of interest is the unknown breakpoint. The challenge is to device an estimator that is consistent when the data are cross‐correlated and the number of time periods T is fixed and cannot be increased without bound. The proposed solution involves taking an already existing estimator initially proposed for cross‐section uncorrelated panels and applying it to defactored data. Consistency is established as the number of cross‐section units N grows large, and is verified in small samples using Monte Carlo simulation.}},
author = {{Westerlund, Joakim}},
issn = {{0143-9782}},
language = {{eng}},
number = {{2}},
pages = {{248--255}},
publisher = {{Wiley-Blackwell}},
series = {{Journal of Time Series Analysis}},
title = {{Common Breaks in Means for Cross-Correlated Fixed-T Panel Data}},
url = {{http://dx.doi.org/10.1111/jtsa.12407}},
doi = {{10.1111/jtsa.12407}},
volume = {{40}},
year = {{2019}},
}