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  • Search: subject:"Data generating process"
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Year of publication
Subject
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Data generating process 2 Fisher information 2 data generating process 2 forecast bias 2 government revenue 2 seasonal pattern 2 seasonality 2 trends 2 under-or-over estimationh 2 Complexity 1 Lebesgue measure 1 Proximity bounds 1 empirical measures 1 minimal information loss 1 model selection 1 optimal prediction 1 optimal predictor 1 parsimony 1 path dependence 1 unit roots 1
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Online availability
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Free 4
Type of publication
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Article 2 Book / Working Paper 2
Language
All
English 2 Undetermined 2
Author
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Phillips, Peter C.B. 2 Ploberger, Werner 2 T. P. Koirala Ph.D. 1 T. P. Koirala, Ph.D. 1
Institution
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Cowles Foundation for Research in Economics, Yale University 2
Published in...
All
2014, Volume 26, Issue 2 2 Cowles Foundation Discussion Papers 2
Source
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RePEc 4
Showing 1 - 4 of 4
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Government Revenue Forecasting in Nepal
T. P. Koirala, Ph.D. - In: 2014, Volume 26, Issue 2 24 (2012) 2
actual Data Generating Process (DGP) of monthly revenue series of the government of Nepal. Out of two selected methods …
Persistent link: https://www.econbiz.de/10010701975
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Government Revenue Forecasting in Nepal
T. P. Koirala Ph.D. - In: 2014, Volume 26, Issue 2 24 (2012) 2, pp. 47-60
actual Data Generating Process (DGP) of monthly revenue series of the government of Nepal. Out of two selected methods …
Persistent link: https://www.econbiz.de/10010721269
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Empirical Limits for Time Series Econometric Models
Phillips, Peter C.B.; Ploberger, Werner - Cowles Foundation for Research in Economics, Yale University - 1999
This paper seeks to characterize empirically achievable limits for time series econometric modeling. The approach involves the concept of minimal information loss in time series regression and the paper shows how to derive bounds that delimit the proximity of empirical measures to the true...
Persistent link: https://www.econbiz.de/10004990803
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Rissanen's Theorem and Econometric Time Series
Ploberger, Werner; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 1998
In a typical empirical modeling context, the data generating process (DGP) of a time series is assumed to be known up …
Persistent link: https://www.econbiz.de/10005464029
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