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Modeling memory of economic and financial time series
Robinson, Peter M.
- In:
The Singapore economic review : journal of the Economic …
50
(
2005
)
1
,
pp. 2-8
Persistent link: https://www.econbiz.de/10002806100
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2
Refinements in maximum likelihood inference on spatial autocorrelation in panel data
Robinson, Peter M.
;
Rossi, Francesca
- In:
Journal of econometrics
189
(
2015
)
2
,
pp. 447-456
Persistent link: https://www.econbiz.de/10011504614
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3
Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension
Gupta, Abhimanyu
;
Robinson, Peter M.
-
2015
Persistent link: https://www.econbiz.de/10011393194
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4
Improved Lagrange multiplier tests in spatial autoregressions
Robinson, Peter M.
;
Rossi, Francesca
- In:
The econometrics journal
17
(
2014
)
1
,
pp. 139-164
Persistent link: https://www.econbiz.de/10010498750
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5
Pseudo maximum likelihood estimation of spatial autoregressive models with increasing dimension
Gupta, Abhimanyu
;
Robinson, Peter M.
- In:
Journal of econometrics
202
(
2018
)
1
,
pp. 92-107
Persistent link: https://www.econbiz.de/10011974555
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6
Inference on higher-order spatial autoregressive models with increasingly many parameters
Gupta, Abhimanyu
;
Robinson, Peter M.
-
2013
Persistent link: https://www.econbiz.de/10010234259
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7
Modelling memory of economic and financial time series
Robinson, Peter M.
(
contributor
)
-
2005
Persistent link: https://www.econbiz.de/10002814614
Saved in:
8
Adapting to unknow disturbance autocorrelation in regression with long memory
Hidalgo, Javier
;
Robinson, Peter M.
-
2001
Persistent link: https://www.econbiz.de/10001618205
Saved in:
9
Adapting to unknown disturbance autocorrelation in regression with long memory
Hidalgo, Javier
;
Robinson, Peter M.
- In:
Econometrica : journal of the Econometric Society, an …
70
(
2002
)
4
,
pp. 1545-1581
Persistent link: https://www.econbiz.de/10001688094
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10
Nonparametric spectrum estimation for spatial data
Robinson, Peter M.
(
contributor
)
-
2006
Persistent link: https://www.econbiz.de/10003289013
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