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~isPartOf:"DNB working papers"
~isPartOf:"Department of Economics working papers"
~isPartOf:"Discussion paper / Tinbergen Institute"
~language:"eng"
~person:"Gil-Alaña, Luis A."
~person:"Heckman, James J."
~person:"Klaassen, Franc"
~person:"Koopman, Siem Jan"
~person:"Wijnbergen, Sweder van"
~subject:"EU-Staaten"
~subject:"Faktorenanalyse"
~subject:"Kreditrisiko"
~subject:"Markov-Kette"
~subject:"Maximum-Likelihood-Schätzung"
~subject:"Schätzung"
~subject:"USA"
~subject:"United States"
~type:"book"
~type_genre:"Collection of articles written by one author"
~type_genre:"Handbuch"
~type_genre:"Non-commercial literature"
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Gil-Alaña, Luis A.
Heckman, James J.
Klaassen, Franc
Koopman, Siem Jan
Wijnbergen, Sweder van
Lucas, André
31
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Dijk, Herman K. van
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31
A general framework for observation driven time-varying parameter models
Creal, Drew
;
Koopman, Siem Jan
;
Lucas, André
-
2008
Persistent link: https://www.econbiz.de/10003787160
Saved in:
32
Likelihood-based analysis for dynamic factor models
Jungbacker, Borus
;
Koopman, Siem Jan
-
2008
Persistent link: https://www.econbiz.de/10003645197
Saved in:
33
An hourly periodic state space model for modelling French national electricity load
Dordonnat, V.
;
Koopman, Siem Jan
;
Ooms, Marius
; …
-
2008
Persistent link: https://www.econbiz.de/10003645204
Saved in:
34
Likelihood functions for state space models with diffuse initial conditions
Francke, Marc K.
;
Koopman, Siem Jan
;
Vos, Aart F. de
-
2008
Persistent link: https://www.econbiz.de/10003706020
Saved in:
35
Model-based business cycle and financial cycle decomposition for Europe and the U.S.
Koopman, Siem Jan
;
Lit, Rutger
;
Lucas, André
-
2016
We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...
Persistent link: https://www.econbiz.de/10011520505
Saved in:
36
The stochastic volatility in mean model
Koopman, Siem Jan
;
Hol Uspensky, Eugenie
-
2000
In this paper we present an exact maximum likelihood treatment forthe estimation of a Stochastic Volatility in Mean(SVM) model based on Monte Carlo simulation methods. The SVM modelincorporates the unobserved volatility as anexplanatory variable in the mean equation. The same extension...
Persistent link: https://www.econbiz.de/10011303314
Saved in:
37
Systemic risk diagnostics
Schwaab, Bernd
;
Lucas, André
;
Koopman, Siem Jan
-
2010
, and the rest of the
world
. Controlling for global,region-specific, and industry effects, we construct coincident measures …
Persistent link: https://www.econbiz.de/10011382067
Saved in:
38
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currencyto depreciate. It adds to the actual depreciation a weightedcombination of policy instruments used to ward off depreciation,such as interest rates and foreign exchange interventions, where theweights are their effectiveness. The...
Persistent link: https://www.econbiz.de/10011383023
Saved in:
39
Identifying the weights in exchange market pressure
Klaassen, Franc
-
2011
Exchange market pressure (EMP) measures the pressure on a currency to depreciate. It adds to the actual depreciation a weighted combination of policy instruments used to ward off depreciation, such as interest rates and foreign exchange interventions, where the weights are their effectiveness....
Persistent link: https://www.econbiz.de/10011383120
Saved in:
40
Numerically accelerated importance sampling for nonlinear non-Gaussian state space models
Koopman, Siem Jan
;
Lucas, André
;
Scharth, Marcel
-
2012
We introduce a new efficient importance sampler for nonlinear non-Gaussian state space models. We propose a general and efficient likelihood evaluation method for this class of models via the combination of numerical and Monte Carlo integration methods. Our methodology explores the idea that...
Persistent link: https://www.econbiz.de/10011386179
Saved in:
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