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1
Bootstrapping Systems Cointegration Tests with a Prior Adjustment for Deterministic Terms
Trenkler, Carsten
-
Sonderforschungsbereich 649: Ökonomisches Risiko, …
-
2006
In this paper we analyse
bootstrap
procedures for systems cointegration tests with a prior adjustment for deterministic … the
bootstrap
test procedures are derived and their small sample properties are studied. The simulation study also …
Persistent link: https://www.econbiz.de/10005207940
Saved in:
2
Unemployment and Hysteresis: A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Uno...
SANZO, Silvestro DI
;
PEREZ-ALONSO, Alicia
-
Dipartimento del Tesoro, Ministero dell'Economia e …
bootstrapalgorithms. The
bootstrap
testing procedure is applied to data fromItaly, France and the United States. We find evidence of …
Persistent link: https://www.econbiz.de/10008684485
Saved in:
3
UNEMPLOYMENT AND HYSTERESIS: A NONLINEAR UNOBSERVED COMPONENTS APPROACH
Alon, Alicia Pérez
;
Sanzo, Silvestro Di
-
Instituto Valenciano de Investigaciones Económicas (IVIE)
-
2005
appropriate p-value for a test for hysteresis we propose two alternative
bootstrap
procedures: the first is valid under … homoskedastic errors and the second allows for general heteroskedasticity. We investigate the performance of both
bootstrap
…
Persistent link: https://www.econbiz.de/10005731249
Saved in:
4
Robust subsampling
Camponovo, Lorenzo
;
Scaillet, Olivier
;
Trojani, Fabio
- In:
Journal of Econometrics
167
(
2012
)
1
,
pp. 197-210
regression model. Monte Carlo simulations in two settings where the
bootstrap
fails show the accuracy and robustness of the …
Persistent link: https://www.econbiz.de/10010574079
Saved in:
5
Change point estimation in panel data without boundary issue
Peštová, Barbora
;
Pešta, Michal
- In:
Risks
5
(
2017
)
1
,
pp. 1-22
Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In particular, the novel estimator is able to detect a common...
Persistent link: https://www.econbiz.de/10011709583
Saved in:
6
Robust Resampling Methods for Time Series
CAMPONOVO, Lorenzo
;
SCAILLET, Olivier
;
TROJANI, Fabio
their quantile breakdown point. For the block
bootstrap
and the sub- sampling, we find a very low quantile breakdown point …
Persistent link: https://www.econbiz.de/10008479295
Saved in:
7
Testing for Stochastic Dominance Efficiency
Scaillet, Olivier
;
Topaloglou, Nikolas
-
Swiss Finance Institute
-
2005
bootstrap
to achieve valid inference in a time series setting. The test statistics and the estimators are computed using linear …
Persistent link: https://www.econbiz.de/10005771790
Saved in:
8
Bootstrap
methods for heteroskedastic regression models: evidence on estimation and testing
Cribari-Neto, F.
;
Zarkos, S. G.
- In:
Econometric Reviews
18
(
1999
)
2
,
pp. 211-228
This paper uses Monte Carlo simulation analysis to study the finite-sample behavior of
bootstrap
estimators and tests … tailored to handle heteroskedasticity. Our results show that weighted
bootstrap
methods can be successfully used to estimate … test and of Bartlett and Edgeworth-corrected tests. The
bootstrap
test was found to be robust against unfavorable …
Persistent link: https://www.econbiz.de/10005511950
Saved in:
9
Smoothed Empirical Likelihood Methods for Quantile Regression Models
Whang, Yoon-Jae
-
Cowles Foundation for Research in Economics, Yale University
-
2004
than the confidence regions that can be constructed from the smoothed
bootstrap
method recently suggested by Horowitz (1998). …
Persistent link: https://www.econbiz.de/10005593469
Saved in:
10
The limiting properties of the QMLE in a general class of asymmetric volatility models
Dahl, Christian M.
;
Iglesias, Emma M.
-
School of Economics and Management, University of Aarhus
-
2008
bootstrap
. Finally, we provide an empirical illustration. …
Persistent link: https://www.econbiz.de/10005198863
Saved in:
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