2020
DOI: 10.1007/s00181-020-01893-5
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Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada

Abstract: The purpose of the Working Papers is to disseminate the results of research conducted by CIRANO research members in order to solicit exchanges and comments. These reports are written in the style of scientific publications. The ideas and opinions expressed in these documents are solely those of the authors.Les cahiers de la série scientifique visent à rendre accessibles les résultats des recherches effectuées par des chercheurs membres du CIRANO afin de susciter échanges et commentaires. Ces cahiers sont rédig… Show more

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Cited by 16 publications
(9 citation statements)
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“…Similarly, the coefficients for African-Americans across the quantiles are statistically equivalent to zero. This likely indicates that, after controlling for different educational levels and previous exposure to online learning, individuals Table 3 3 and are calculated marginally of the remaining covariates and the parameters (Bresson et al, 2021;Chib & Jeliazkov, 2006;Jeliazkov et al, 2008;Jeliazkov & Rahman, 2012;Jeliazkov & Vossmeyer, 2018;Rahman & Vossmeyer, 2019).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, the coefficients for African-Americans across the quantiles are statistically equivalent to zero. This likely indicates that, after controlling for different educational levels and previous exposure to online learning, individuals Table 3 3 and are calculated marginally of the remaining covariates and the parameters (Bresson et al, 2021;Chib & Jeliazkov, 2006;Jeliazkov et al, 2008;Jeliazkov & Rahman, 2012;Jeliazkov & Vossmeyer, 2018;Rahman & Vossmeyer, 2019).…”
Section: Resultsmentioning
confidence: 99%
“…,Alhamzawi & Ali (2020),Ghasemzadeh et al (2020),Ghasemzadeh et al (2018),Rahman & Vossmeyer (2019),Rahman &Karnawat (2019), andBresson et al (2021).…”
mentioning
confidence: 99%
“…We also compute the covariate effects for the statistically significant variables in the probit model and for each of the five quantiles. These are presented in Table 3 3 and are calculated marginally of the remaining covariates and the parameters (Chib and Jeliazkov, 2006;Jeliazkov et al, 2008;Jeliazkov and Rahman, 2012;Jeliazkov and Vossmeyer, 2018;Rahman and Vossmeyer, 2019;Bresson et al, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…where x i is a k×1 vector of covariates, β p is a k×1 vector of unknown parameters at the p-th quantile 2 Binary quantile regression is a special of ordinal quantile regression considered in Rahman (2016) and can be linked to the random utility theory in economics (Train, 2009;Jeliazkov and Rahman, 2012). For other developments on Bayesian quantile regression with discrete outcomes, please see Alhamzawi and Ali (2018a), Alhamzawi and Ali (2018b), Ghasemzadeh et al (2018b), Ghasemzadeh et al (2018a), Rahman and Vossmeyer (2019), Rahman and Karnawat (2019), Bresson et al (2020).…”
Section: Quantile Regression For Binary Outcomesmentioning
confidence: 99%
“…A flexible form of Bayesian ordinal quantile regression was proposed inRahman and Karnawat (2019). Some recent research on ordinal and binary quantile regression in the panel/longitudinal set up includeAlhamzawi and Ali (2018),Rahman andVossmeyer (2019), andBresson et al (2021). Two applied studies employing ordinal and binary quantile framework areOmata et al (2017) andOjha and Rahman (2021), respectively.…”
mentioning
confidence: 99%