This study proposes a Bayesian semiparametric binary response model using Markov chain Monte Carlo algorithms since this Bayesian algorithm works when the maximum likelihood estimation fails. Implementing graphic processing unit computing improves the computation time because of its efficiency...

A Bayesian semi-parametric estimation of the binary response model using Markov Chain Monte Carlo algorithms is proposed. The performances of the parametric and semi-parametric models are presented. The mean squared errors, receiver operating characteristic curve, and the marginal effect are...

We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models. Our Monte Carlo experiments indicate that in small sample, the Bayes estimator beats the MLE. We also develop a Bayes method of testing strict stationarity and ergodicity of the...

This paper talks about the Solow (10) generalized Koyck's method for distributed lags to a family of J-shaped or unimodel lag distributions given by the Pascal distributions. Jorgenson (5) advances it to what he calls the general Pascal distribution.

This paper talks about the wage-parity issue which arose in 1968 when the United Auto Workers demanded wage-parity between Canadian and American workers in the automobile industry. Also, if wage-parity is introduced, what and how severe will be its effects on the prices and on Canadian economic...

Earlier the author, together with his collegue, developed a growth model of the Canadian economy (9) which concentrated on the Gross Domestic Product (GDP) side, and from this earlier experience it was found desirable to incorporate not only the GDP side but also the gross national expenditure...