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Klaassen, Franc; Teulings, Rutger - 2017

all variables proposed by theory, despite a broad set of fixed effects (FE). We find that both REERs are important and … multilateral resistances. Untangling normalization helps to get a better view of what is still unexplained by theory. …

Persistent link: https://www.econbiz.de/10011791519

The timing of pollution abatement investments and the business cycle : an international comparison

Bouman, M.; Gautier, Pieter; Hofkes, Marjan W. - 1995

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Teulings, Coen N.; Gautier, Pieter - 2002

Persistent link: https://www.econbiz.de/10001689280

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Gautier, Pieter; Teulings, Coen N. - 2000

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Albrecht, James W.; Gautier, Pieter; Vroman, Susan B. - 2010

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Joint independent metropolis-hastings methods for nonlinear non-Gaussian state space models

Barra, Istvan; Hoogerheide, Lennart; Koopman, Siem Jan; … - 2013

Persistent link: https://www.econbiz.de/10010191411

A class of adaptive importance sampling weighted EM algorithms for efficient and robust posterior and predictive simulation

Hoogerheide, Lennart; Opschoor, Anne; Dijk, Herman K. van - 2012

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The r package MitISEM : mixture of student-t distributions using importance sampling weighted expectation maximization for efficient and robust simulation

Basturk, Nalan; Hoogerheide, Lennart; Opschoor, Anne; … - 2012

Persistent link: https://www.econbiz.de/10009722972

Censored posterior and predictive likelihood in Bayesian left-tail prediction for accurate value at risk estimation

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Joint Bayesian analysis of parameters and states in nonlinear, non-Gaussian state space models

Barra, István; Hoogerheide, Lennart; Koopman, Siem Jan; … - 2014

We propose a new methodology for designing flexible proposal densities for the joint posterior density of parameters and states in a nonlinear non-Gaussian state space model. We show that a highly efficient Bayesian procedure emerges when these proposal densities are used in an independent...

Persistent link: https://www.econbiz.de/10010399681