20 citations · 20 across the 3 of their papers we have counts for
5 papers
Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression
Arjun Gupta, Soudeh Mirghasemi, Mohammad Arshad Rahman
Empirical studies on food expenditure are largely based on cross-section data and for a few studies based on longitudinal (or panel) data the focus has been on the conditional mean…
Do Online Courses Provide an Equal Educational Value Compared to In-Person Classroom Teaching? Evidence from US Survey Data using Quantile Regression
Manini Ojha, Mohammad Arshad Rahman
Education has traditionally been classroom-oriented with a gradual growth of online courses in recent times. However, the outbreak of the COVID-19 pandemic has dramatically acceler…
Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation
Georges Bresson, Anoop Chaturvedi, Mohammad Arshad Rahman +1
Linear regression with measurement error in the covariates is a heavily studied topic, however, the statistics/econometrics literature is almost silent to estimating a multi-equati…
Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada
Georges Bresson, Guy Lacroix, Mohammad Arshad Rahman
This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelih…
Estimation and Applications of Quantile Regression for Binary Longitudinal Data
Mohammad Arshad Rahman, Angela Vossmeyer
This paper develops a framework for quantile regression in binary longitudinal data settings. A novel Markov chain Monte Carlo (MCMC) method is designed to fit the model and its co…