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Automatic variance ratio test...
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Bootstrap-after-bootstrap prediction intervals for autoregressive models
Kim, Jae H.
- In:
Journal of business & economic statistics : JBES ; a …
19
(
2001
)
1
,
pp. 117-128
Persistent link: https://www.econbiz.de/10001543465
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2
Forecasting monthly tourist departures from Australia
Kim, Jae H.
- In:
Tourism economics : the business and finance of tourism …
5
(
1999
)
3
,
pp. 277-291
Persistent link: https://www.econbiz.de/10001459478
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3
Asymptotic and bootstrap prediction regions for vector autoregression
Kim, Jae H.
- In:
International journal of forecasting
15
(
1999
)
4
,
pp. 393-403
Persistent link: https://www.econbiz.de/10001428532
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4
Forecasting autoregressive time series with bias-corrected parameter estimators
Kim, Jae H.
- In:
International journal of forecasting
19
(
2003
)
3
,
pp. 493-502
Persistent link: https://www.econbiz.de/10001793034
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5
Bootstrap prediction intervals for autoregressive models of unknown or infinite lag order
Kim, Jae H.
- In:
Journal of forecasting
21
(
2002
)
4
,
pp. 265-280
Persistent link: https://www.econbiz.de/10001700330
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6
Bias-corrected bootstrap prediction regions for vector autoregression
Kim, Jae H.
- In:
Journal of forecasting
23
(
2004
)
2
,
pp. 141-154
Persistent link: https://www.econbiz.de/10001980729
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7
Bootstrap prediction intervals for autoregression using asymptotically mean-unbiased estimators
Kim, Jae H.
- In:
International journal of forecasting
20
(
2004
)
1
,
pp. 85-97
Persistent link: https://www.econbiz.de/10001918297
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8
Wild bootstrapping variance ratio tests
Kim, Jae H.
- In:
Economics letters
92
(
2006
)
1
,
pp. 38-43
Persistent link: https://www.econbiz.de/10003336500
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9
Investigating the advertising-sales relationship in the Lydia Pinkham data : a bootstrap approach
Kim, Jae H.
- In:
Applied economics
37
(
2005
)
3
,
pp. 347-354
Persistent link: https://www.econbiz.de/10002547828
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10
Predictive regression : an improved augmented regression method
Kim, Jae H.
- In:
Journal of empirical finance
26
(
2014
),
pp. 13-25
Persistent link: https://www.econbiz.de/10010472013
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