Estimation of regional business cycle in Japan using Bayesian panel spatial autoregressive probit model
Year of publication: |
2009
|
---|---|
Authors: | Kakamu, Kazuhiko ; Wago, Hajime ; Tanizaki, Hisashi |
Published in: |
Handbook of regional economics. - New York, NY : Nova Science Publ., ISBN 1-60741-036-2. - 2009, p. 555-571
|
Subject: | Regionale Konjunktur | Regional business cycle | Bayes-Statistik | Bayesian inference | Markov-Kette | Markov chain | Monte-Carlo-Simulation | Monte Carlo simulation | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Japan | 1979-2003 |
-
Evolutionary sequential Monte Carlo samplers for change-point models
Dufays, Arnaud, (2016)
-
Particle Markov chain Monte Carlo techniques of unobserved component time series models using ox
Nonejad, Nima, (2016)
-
An improved Bayesian unit root test in stochastic volatility models
Li, Yong, (2019)
- More ...
-
Kakamu, Kazuhiko, (2008)
-
Spatial interaction of crime incidents in Japan
Kakamu, Kazuhiko, (2008)
-
Production technology and agglomeration for Japanese prefectures during 1991–2000
Kakamu, Kazuhiko, (2012)
- More ...