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  • Search: subject:"non-linear stochastic dynamic models state space discretization"
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Year of publication
Subject
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Markov chain 4 fiscal policy 4 moment matching 4 non-linear stochastic dynamic models state space discretization 4 numerical methods 4 stochastic growth model 4 vector autoregressive processes 4 Estimation 2 Estimation theory 2 Finanzpolitik 2 Fiscal policy 2 Markov-Kette 2 Schätztheorie 2 Schätzung 2 Stochastic growth model 2 Stochastic process 2 Stochastischer Prozess 2 Stochastisches Wachstumsmodell 2 Time series analysis 2 VAR model 2 VAR-Modell 2 Zeitreihenanalyse 2
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3 Article 1
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 1
Author
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Lkhagvasuren, Damba 4 Gospodinov, Nikolaj 2 Gospodinov, Nikolay 2
Institution
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Federal Reserve Bank of Atlanta 1
Published in...
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Journal of applied econometrics 1 Working Paper 1 Working Paper / Federal Reserve Bank of Atlanta 1 Working papers / Federal Reserve Bank of Atlanta 1
Source
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ECONIS (ZBW) 2 EconStor 1 RePEc 1
Showing 1 - 4 of 4
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A moment-matching method for approximating vector autoregressive processes by finite-state Markov chains
Gospodinov, Nikolay; Lkhagvasuren, Damba - 2013
This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...
Persistent link: https://www.econbiz.de/10010397710
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Cover Image
A moment-matching method for approximating vector autoregressive processes by finite-state Markov chains
Gospodinov, Nikolay; Lkhagvasuren, Damba - Federal Reserve Bank of Atlanta - 2013
This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...
Persistent link: https://www.econbiz.de/10010732471
Saved in:
Cover Image
A moment-matching method for approximating vector autoregressive processes by finite-state Markov chains
Gospodinov, Nikolaj; Lkhagvasuren, Damba - 2013
This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...
Persistent link: https://www.econbiz.de/10010126857
Saved in:
Cover Image
A moment-matching method for approximating vector autoregressive processes by finite-state Markov chains
Gospodinov, Nikolaj; Lkhagvasuren, Damba - In: Journal of applied econometrics 29 (2014) 5, pp. 843-859
Persistent link: https://www.econbiz.de/10010414842
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