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  • Search: subject:"Bayesianinference"
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Year of publication
Subject
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Bayesianinference 5 VAR model 3 VAR-Modell 3 Bayesian inference 2 DSGE models 2 Demand 2 Elasticity 2 Elastizität 2 Estimation 2 IV estimation 2 Markov Chain Monte Carlo 2 Nachfrage 2 Oil market 2 Oil price 2 Open-economy macroeconomics 2 Preiselastizität 2 Price elasticity 2 Schätzung 2 Welt 2 World 2 exchange-rate pass through 2 forecasting 2 frequentist inference 2 global real activity 2 local identification 2 multi-modal posterior 2 oil price 2 oil supply elasticity 2 policy analysis 2 robust Bayesianinference 2 structural VAR 2 Ölmarkt 2 Ölpreis 2 Bayes-Statistik 1 DSGE model 1 DSGE-Modell 1 Dynamic equilibrium 1 Dynamisches Gleichgewicht 1 EU countries 1 EU-Staaten 1
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Online availability
All
Free 5 Undetermined 2
Type of publication
All
Book / Working Paper 7
Type of publication (narrower categories)
All
Working Paper 7 Arbeitspapier 5 Graue Literatur 5 Non-commercial literature 5
Language
All
English 7
Author
All
Bacchiocchi, Emanuele 2 De Walque, Gregory 2 Jeanfils, Philippe 2 Kilian, Lutz 2 Kitagawa, Toru 2 Lejeune, Thomas 2 Rychalovska, Yuliya 2 Wouters, Rafael 2 Beetsma, Roel 1 Cimadomo, Jacopo 1 Spronsen, Josha 1
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Published in...
All
Discussion papers / CEPR 2 CEMMAP working papers / Centre for Microdata Methods and Practice 1 CESifo working papers 1 NBB Working Paper 1 Working paper / National Bank of Belgium / National Bank of Belgium 1 cemmap working paper 1
Source
All
ECONIS (ZBW) 5 EconStor 2
Showing 1 - 7 of 7
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Locally- but not globally-identified SVAR
Bacchiocchi, Emanuele; Kitagawa, Toru - 2020
This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds locally but not globally. In this case there exists a set of isolated structural parameter points that are observationally equivalent under the imposed restrictions. Although the...
Persistent link: https://www.econbiz.de/10012621117
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Locally- but not globally-identified SVAR
Bacchiocchi, Emanuele; Kitagawa, Toru - 2020 - This draft: 20 July 2020
This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds locally but not globally. In this case there exists a set of isolated structural parameter points that are observationally equivalent under the imposed restrictions. Although the...
Persistent link: https://www.econbiz.de/10012251913
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Cover Image
Facts and fiction in oil market modeling
Kilian, Lutz - 2019
Baumeister and Hamilton (2019a) assert that every critique of their work on oil markets by Kilian and Zhou (2019a) is without merit. In addition, they make the case that key aspects of the economic and econometric analysis in the widely used oil market model of Kilian and Murphy (2014) and its...
Persistent link: https://www.econbiz.de/10012119530
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One scheme fits all : a central fiscal capacity for the EMU targeting eurozone, national and regional shocks
Beetsma, Roel; Cimadomo, Jacopo; Spronsen, Josha - 2022
Persistent link: https://www.econbiz.de/10013188297
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An estimated two-country EA-US model with limited exchange rate pass-through
De Walque, Gregory; Jeanfils, Philippe; Lejeune, Thomas; … - 2017
We develop a two-country New Keynesian model with sticky local currency pricing,distribution costs and a demand elasticity increasing with the relative price. These features help to reduce the exchange rate pass-through to import price at the border and down the chain towards consumption price,...
Persistent link: https://www.econbiz.de/10011786072
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Cover Image
An estimated two-country EA-US model with limited exchange rate pass-through
De Walque, Gregory; Jeanfils, Philippe; Lejeune, Thomas; … - 2017
We develop a two-country New Keynesian model with sticky local currency pricing,distribution costs and a demand elasticity increasing with the relative price. These features help to reduce the exchange rate pass-through to import price at the border and down the chain towards consumption price,...
Persistent link: https://www.econbiz.de/10011635009
Saved in:
Cover Image
Facts and fiction in oil market modeling
Kilian, Lutz - 2019
Persistent link: https://www.econbiz.de/10012197851
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