Bayesian approach to Lorenz curve using time series grouped data
Year of publication: |
2022
|
---|---|
Authors: | Kobayashi, Genya ; Yamauchi, Yuta ; Kakamu, Kazuhiko ; Kawakubo, Yuki ; Sugasawa, Shonosuke |
Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 2, p. 897-912
|
Subject: | Gini coefficient | Income distribution | Markov chain Monte Carlo | Flexible Dirichlet | State-space model | Einkommensverteilung | Markov-Kette | Markov chain | Lorenz-Kurve | Lorenz curve | Monte-Carlo-Simulation | Monte Carlo simulation | Gini-Koeffizient | Zeitreihenanalyse | Time series analysis | Bayes-Statistik | Bayesian inference | Schätzung | Estimation | Schätztheorie | Estimation theory | Statistische Verteilung | Statistical distribution |
-
Tabash, Mosab I., (2024)
-
Volatility estimation using a rational GARCH model
Takaishi, Tetsuya, (2018)
-
Gerlach, Richard, (2022)
- More ...
-
"Conditional AIC under Covariate Shift with Application to Small Area Prediction"
Kawakubo, Yuki, (2014)
-
Yamauchi, Yuta, (2020)
-
Dynamic factor, leverage and realized covariances in multivariate stochastic volatility
Yamauchi, Yuta, (2020)
- More ...