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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

Threshold models with time-varying threshold values and their application in estimating regime-sensitive Taylor rules

Zhu, Yanli; Chen, Haiqiang; Lin, Ming - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 23 (2019) 5, pp. 1-17

Persistent link: https://www.econbiz.de/10012198389

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

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

Bayesian inference for a periodic stochastic volatility model of intraday electricity prices

Smith, Michael Stanley - In: Statistical modelling and regression structures : …, (pp. 353-376). 2010

Persistent link: https://www.econbiz.de/10003964500

Empirical analysis of affine versus nonaffine variance specifications in jump-diffusion models for equity indices

Ignatieva, Ekaterina; Rodrigues, Paulo Jorge Maurício; … - In: Journal of business & economic statistics : JBES ; a … 33 (2015) 1, pp. 68-75

Persistent link: https://www.econbiz.de/10011389699

Risk margin quantile function via parametric and non-parametric Bayesian approaches

Dong, Alice X. D.; Chan, Jennifer S. K.; Peters, Gareth W. - In: Astin bulletin : the journal of the International … 45 (2015) 3, pp. 503-550

Persistent link: https://www.econbiz.de/10011397246

The time-varying effects of permanent and transistory shocks to real output

Keating, John William; Valcarcel, Victor J. - In: Macroeconomic dynamics 19 (2015) 3, pp. 477-507

Persistent link: https://www.econbiz.de/10011308634

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

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

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