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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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Examining the structure of spatial health effects using hierarchical Bayes models : conference paper
Eibich, Peter; Ziebarth, Nicolas R. - 2013 - This version: November 11, 2012
This paper makes use of Hierarchical Bayes Models to model and estimate spatial health effects. We focus on Germany, combining rich individual-level household panel data with administrative county level information to estimate spatial county-level health dependencies. As dependent variable, we...
Persistent link: https://www.econbiz.de/10010341163
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Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter; Ziebarth, Nicolas R. - 2013
This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...
Persistent link: https://www.econbiz.de/10010241623
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Examining the structure of spatial health effects in Germany using Hierarchical Bayes Models
Eibich, Peter; Ziebarth, Nicolas R. - 2013
This paper uses Hierarchical Bayes Models to model and estimate spatial health effects in Germany. We combine rich individual-level household panel data from the German SOEP with administrative county-level data to estimate spatial county-level health dependencies. As dependent variable we use...
Persistent link: https://www.econbiz.de/10010475803
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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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Regional income convergence in Europe : a Bayesian model averaging perspective : 52th European Congress of the Regional Science Association International August 21-25, 2012, Bratis...
Gmeinder, Michael; Piribauer, Philipp; Schoiswohl, Florian - 2012
The speed of income convergence in Europe remains one of the hot topics in regional economics. Recently Bayesian Model Averaging (BMA) applied to spatial autoregressive models seems to have gained more popularity. BMA averages over some predetermined number of so called top models, ranked by the...
Persistent link: https://www.econbiz.de/10011509195
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A Bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows
Krisztin, Tamás; Piribauer, Philipp - 2019
In this paper we propose a Bayesian estimation approach for a spatial autoregressive logit specification. Our approach relieson recent advances in Bayesian computing, making use of Pólya-Gamma sampling for Bayesian Markov-chain Monte Carlo algorithms.The proposed specification assumes that the...
Persistent link: https://www.econbiz.de/10012061923
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Robust growth determinants
Doppelhofer, Gernot; Weeks, Melvyn - 2011
This paper investigates the robustness of determinants of economic growth in the presence of model uncertainty, parameter heterogeneity and outliers. The robust model averaging approach introduced in the paper uses a flexible and parsimonious mixture modeling that allows for fat-tailed errors...
Persistent link: https://www.econbiz.de/10009010519
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The determinants of economic growth in European regions
Crespo Cuaresma, Jesús; Doppelhofer, Gernot; … - 2009
We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...
Persistent link: https://www.econbiz.de/10003806087