Narrow search
Showing 1 - 10 of 231,607
Cover Image
Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples
Lesage, James P.; Chih, Yao-Yu; Vance, Colin - 2018
Focus is on efficient estimation of a dynamic space-time panel data model that incorporates spatial dependence … of spatial units and T the number of time periods. Quasi-maximum likelihood (QML) estimation in cases involving large N … estimates that require numerous inversions of large matrices. We set forth a Markov Chain Monte Carlo (MCMC) estimation …
Persistent link: https://www.econbiz.de/10011954962
Cover Image
Modeling high-frequency financial data using R and Stan : a bayesian autoregressive conditional duration approach
Tabash, Mosab I.; Navas, T. Muhammed; Thayyib, P. V.; … - In: Journal of open innovation : technology, market, and … 10 (2024) 2, pp. 1-16
In econometrics, Autoregressive Conditional Duration (ACD) models use high-frequency economic or financial duration data, which mostly exhibit irregular time intervals. The ACD model is widely used to examine the duration of transaction volume and duration of price variations in stock markets....
Persistent link: https://www.econbiz.de/10014581582
Cover Image
Discrete-time stochastic volatility models and MCMC-based statistical inference
Hautsch, Nikolaus (contributor); Ou, Yangguoyi (contributor) - 2008
In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...
Persistent link: https://www.econbiz.de/10003770817
Cover Image
A Bayesian analysis of female wage dynamics using Markov chain clustering
Pamminger, Christoph; Tüchler, Regina - 2011
In dieser Arbeit analysieren wir Einkommensverläufe von Frauen in Österreich. Unser Ziel ist es, mit Hilfe von zusätzlichen erklärenden Variablen wie z.B. dem Alter bei Berufseintritt, der Kinderanzahl oder einer Karenzvariable, Gruppen von erwerbst¨atigen Frauen mit ähnlichen...
Persistent link: https://www.econbiz.de/10011344851
Cover Image
Labor market entry and earnings dynamics : Bayesian inference using mixtures-of-experts Markov chain clustering
Frühwirth-Schnatter, Sylvia; Pamminger, Christoph; … - 2010
This paper analyzes patterns in the earnings development of young labor market entrants over their life cycle. We identify four distinctly different types of transition patterns between discrete earnings states in a large administrative data set. Further, we investigate the effects of labor...
Persistent link: https://www.econbiz.de/10011344864
Cover Image
Bayesian treatment effects models with variable selection for panel outcomes with an application to earnings effects of maternity leave
Jacobi, Liana; Wagner, Helga; Frühwirth-Schnatter, Sylvia - 2014
Child birth leads to a break in a woman's employment history and is considered one reason for the relatively poor labor market outcomes observed for women compared to men. However, the time spent at home after child birth varies significantly across mothers and is likely driven by observed and,...
Persistent link: https://www.econbiz.de/10011346040
Cover Image
Do maternal health problems influence child's worrying status? : evidence from British cohort study
Dai, Xianhua; Härdle, Wolfgang; Yu, Keming - 2014
The influence of maternal health problems on child's worrying status is important in practice in terms of the intervention of maternal health problems early for the influence on child's worrying status. Conventional methods apply symmetric prior distributions such as a normal distribution or a...
Persistent link: https://www.econbiz.de/10010253468
Cover Image
A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel price rivalry
Lesage, James P.; Vance, Colin; Chih, Yao-Yu - 2016
likelihood estimation method set forth by Aquaro, Bailey and Pesaran (2015), we rely on a Markov Chain Monte Carlo (MCMC …) estimation methodology. MCMC estimates as applied here with non-informative priors will produce estimates equal to those from …
Persistent link: https://www.econbiz.de/10011460317
Cover Image
A non-linear forecast combination procedure for binary outcomes
Lahiri, Kajal; Yang, Liu - 2015
We develop a non-linear forecast combination rule based on copulas that incorporate the dynamic interaction between individual predictors. This approach is optimal in the sense that the resulting combined forecast produces the highest discriminatory power as measured by the receiver operating...
Persistent link: https://www.econbiz.de/10010475341
Cover Image
Bayesian estimation of DSGE models
Guerrón-Quintana, Pablo A.; Nason, James Michael - 2012
Persistent link: https://www.econbiz.de/10009561198