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Smoking initiation : peers and personality
Hsieh, Chih-sheng; Van Kippersluis, Hans - 2015
Social interactions are generally thought to play an important role in smoking initiation among adolescents. In this … endogenous peer effect. We show that peer effects in the uptake of smoking are predominantly affecting individuals who are … helps understanding heterogeneity in peer effects, but additionally provides a promising mechanism through which personality …
Persistent link: https://www.econbiz.de/10011302392
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Bayesian Analysis of Nested Logit Model by Markov Chain Monte Carlo
Lahiri, Kajal; Gao, Jian - 2002
We develop a Markov Chain Monte Carlo algorithm for estimating nested logit models in a Bayesian framework. Appropriate "heating target" and reparametrization techniques are adopted for fast mixing. For illustrative purposes, we have implemented the algorithm on two real-life examples involving...
Persistent link: https://www.econbiz.de/10014112400
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Bayesian Analysis of Nested Logit Model by Markov Chain Monte Carlo
Lahiri, Kajal; Gao, Jian - 2002
We develop a Markov Chain Monte Carlo algorithm for estimating nested logit models in a Bayesian framework. Appropriate "heating target" and reparametrization techniques are adopted for fast mixing. For illustrative purposes, we have implemented the algorithm on two real-life examples involving...
Persistent link: https://www.econbiz.de/10014113986
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Misspecification of Spatial Effects in the Bayesian Spatial Autoregressive Model. The Results from the Monte Carlo Simulation
Laszkiewicz, Edyta - In: Acta Universitatis Nicolai Copernici, Ekonomia 45 (2014) 2, pp. 219-234
The aim of this paper is to analyze the impact of the SAR model misspecification. We concentrate on the effect of ignoring random effects (both independent and spatially correlated) in the SAR model. The results from the Monte Carlo simulation suggests the overestimation of the spatial parameter...
Persistent link: https://www.econbiz.de/10011271649
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Weighted-average least squares (WALS) : confidence and prediction intervals
De Luca, Giuseppe; Magnus, Jan R.; Peracchi, Franco - 2021
We extend the results of De Luca et al. (2021) to inference for linear regression models based on weighted-average least squares (WALS), a frequentist model averaging approach with a Bayesian flavor. We concentrate on inference about a single focus parameter, interpreted as the causal effect of...
Persistent link: https://www.econbiz.de/10012510747
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Spatial Dynamic Panel Data Models with Random Effects
Parent, Olivier - 2010
We develop a general space-time filter applied to panel data models in order to control for heterogeneity as well as both time and spatial dependence. Treatment of initial period observations is analyzed when the number of time periods is small. A second issue relates to an implied restriction...
Persistent link: https://www.econbiz.de/10013143365
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Evolutionary sequential Monte Carlo samplers for change-point models
Dufays, Arnaud - In: Econometrics : open access journal 4 (2016) 1, pp. 1-33
Sequential Monte Carlo (SMC) methods are widely used for non-linear filtering purposes. However, the SMC scope encompasses wider applications such as estimating static model parameters so much that it is becoming a serious alternative to Markov-Chain Monte-Carlo (MCMC) methods. Not only do SMC...
Persistent link: https://www.econbiz.de/10011504888
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Bayes estimates of multimodal density features using DNA and Economic Data
Basturk, Nalan; Hoogerheide, Lennart; Dijk, Herman K. van - 2021
In several scientific fields, like bioinformatics, financial and macro-economics, important theoretical and practical issues exist that involve multimodal data distributions. We propose a Bayesian approach using mixtures distributions to approximate accurately such data distributions. Shape and...
Persistent link: https://www.econbiz.de/10012431876
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Job durations with worker and firm specific effects : MCMC estimation with longitudinal employer-employee data
Horny, Guillaume; Mendes, Rute; Berg, Gerard J. van den - 2009
We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the...
Persistent link: https://www.econbiz.de/10003808931
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Bayesian inference in a stochastic volatility Nelson-Siegel Model
Hautsch, Nikolaus; Yang, Fuyu - 2010
In this paper, we develop and apply Bayesian inference for an extended Nelson-Siegel (1987) term structure model capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in the underlying yield factors. We propose a Markov...
Persistent link: https://www.econbiz.de/10003952795