K-state switching models with time-varying transition distributions : does loan growth signal stronger effects of variables on inflation?
Year of publication: |
July 2015
|
---|---|
Authors: | Kaufmann, Sylvia |
Published in: |
Journal of econometrics. - Amsterdam [u.a.] : Elsevier, ISSN 0304-4076, ZDB-ID 184861-6. - Vol. 187.2015, 1, p. 82-94
|
Subject: | Bayesian analysis | Time-varying Markov transition | Permutation sampling | Phillips curve | Threshold level | Phillips-Kurve | Markov-Kette | Markov chain | Inflation | Schätzung | Estimation | Theorie | Theory | Bayes-Statistik | Bayesian inference | Stichprobenerhebung | Sampling |
-
Kaufmann, Sylvia, (2014)
-
Modeling US inflation dynamics : a Bayesian nonparametric approach
Jochmann, Markus, (2015)
-
Estimating (Markov-Switching) VAR models without gibbs sampling : a sequential Monte Carlo approach
Bognanni, Mark, (2014)
- More ...
-
Bank-Lending Standards, the Cost Channel and Inflation Dynamics
Kaufmann, Sylvia, (2009)
-
Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area
Kaufmann, Sylvia, (2005)
-
Asymmetries in bank lending behaviour. Austria during the 1990s
Kaufmann, Sylvia, (2001)
- More ...