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1
Modelling time-varying parameters in panel data state-space frameworks : an application to the Feldstein–Horioka puzzle
Camarero Olivas, Mariam
;
Sapena, Juan
;
Tamarit …
- In:
Computational economics
56
(
2020
)
1
,
pp. 87-114
Persistent link: https://www.econbiz.de/10012272020
Saved in:
2
Controlling heterogeneous structure of smooth breaks in panel unit root and
cointegration
testing
Omay, Tolga
;
Iren, Perihan
- In:
Computational economics
61
(
2023
)
1
,
pp. 233-265
Persistent link: https://www.econbiz.de/10014228424
Saved in:
3
The relationship between economic growth and electricity consumption : bootstrap ARDL test with a Fourier function and machine learning approach
Wu, Cheng-Feng
;
Huang, Shian-Chang
;
Chiou, Chei-Chang
; …
- In:
Computational economics
60
(
2022
)
4
,
pp. 1197-1220
Persistent link: https://www.econbiz.de/10013445741
Saved in:
4
Multivariate
cointegration
and temporal aggregation : some further simulation results
Otero, Jesús G.
;
Panagiōtidēs, Theodōros
; …
- In:
Computational economics
59
(
2022
)
1
,
pp. 59-70
Persistent link: https://www.econbiz.de/10013168902
Saved in:
5
Observation driven long run equilibria
Łasak, Katarzyna
;
Lont, Johannes
- In:
Computational economics
55
(
2020
)
2
,
pp. 551-575
Persistent link: https://www.econbiz.de/10012223650
Saved in:
6
Optimal estimation strategies for bivariate fractional
cointegration
systems and the co-persistence analysis of stock market realized volatilities
Aloy, Marcel
;
Truchis, Gilles de
- In:
Computational economics
48
(
2016
)
1
,
pp. 83-104
Persistent link: https://www.econbiz.de/10011646595
Saved in:
7
Fast and adaptive
cointegration
based model for forecasting high frequency financial time series
Arce, Paola
;
Antognini, Jonathan
;
Kristjanpoller …
- In:
Computational economics
54
(
2019
)
1
,
pp. 99-112
Persistent link: https://www.econbiz.de/10012134087
Saved in:
8
Detecting causality in non-stationary time series using partial symbolic transfer entropy : evidence in financial data
Papana, Angeliki
;
Kyrtsou, Catherine
;
Kugiumtzis, Dimitris
- In:
Computational economics
47
(
2016
)
3
,
pp. 341-365
Persistent link: https://www.econbiz.de/10011712376
Saved in:
9
Post‑COVID recovery and long‑run forecasting of Indian GDP with Factor‑Augmented Error Correction Model (FECM)
Maiti, Dibyendu
;
Kumar, Naveen
;
Jha, Debajit
;
Sarkar, …
- In:
Computational economics
63
(
2024
)
3
,
pp. 1095-1120
Persistent link: https://www.econbiz.de/10014546333
Saved in:
10
Testing for structural breaks at unknown time : a steeplechase
Shagi, Makram el-
;
Giesen, Sebastian
- In:
Computational economics
41
(
2013
)
1
,
pp. 101-123
Persistent link: https://www.econbiz.de/10009705027
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