Respondents of contingent valuation surveys may place a null value on the public good, for reasons that differ from a genuine indifference to the good, but that can be interpreted as a "protest": either against the interview, or the public management, or both. A good survey design can...

This paper discusses the effect of the minimum wage level on the decision to join the informal job sector. We estimate a pseudo panel of the engagement in the informal sector using an IV-probit. The findings show that an increase in the minimum wage level leads to a substitution effect between...

This article aims to analyze the effect of minimum wage levels on the decision to join the informal job sector. We estimated a pseudo panel model of engagement in the informal sector using an IV-probit. Our results show that an increased wage gap—the relative difference between observed and...

This paper discuses the effect of the minimum wage on the decision to join the informal job sector. We estimated a pseudo panel of the engagement in the informal sector using an IV-probit. The findings show that an increase in the minimum wage leads to a substitution effect between young and...

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...

In this paper we examine the impacts on child health, using diarrhoea as the health outcome, (amongst children living in households) with access to different types of water and sanitation facilities, and from socio-economic and child specific factors. Using cross-sectional health survey data for...

In this paper we examine the impacts on child health, using diarrhoea as the health outcome, (amongst children living in households) with access to different types of water and sanitation facilities, and from socio-economic and child specific factors. Using cross-sectional health survey data for...

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...

In this paper we examine the impacts on child health, using diarrhoe as the health outcome (amongst children living in households), with access to different types of water and sanitation facilities, and from other socio-econoic and child specific factors. Using cross-sectional health survey data...

This article renders an analysis of the impact of education on labour supply behaviour, particularly in terms of participation decision and the level of employment and unemployment of the active population in the labour market in Cameroon, through the nested logit model. Using data obtained from...