This paper uses longitudinal data from the National Cohort Development Study (NCDS) to investigate the determinants of voter turnout in the 1997 British General Election. It introduces measures of cognitive ability and personality into models of electoral participation and finds that firstly, their inclusion reduces the impact of education and secondly, that standard turnout models may be biase...

In order to combat adverse effects of farmland degradation it is necessary for farmers to adopt sustainable land management and conservation strategies like intercropping and conservation tillage. However, efforts to adopt these strategies are very minimal in Ethiopia. In an attempt to address the objectives of examining factors affecting use of intercropping and conservation tillage practices,...

Unwilling or Unable? Spatial, Institutional and SocioEconomic Restrictions on Females' Labor Market Access We analyze the effects of regional structures on both females’ willingness to work and the probability of being employed for those willing to work. Special permission was granted to link regional data to individual respondents in the German Socio-Economic Panel (GSOEP). Results of a bivari...

This study provides information about people’s valuation of recreational user days on public lands. The contingent valuation method is used with a random paired dichotomous choice question format. A bivariate probit model is utilized to estimate parameters of a willingness to pay function, which is used to calculate welfare measures associated with trips to three different sites and eight diver...

In this paper we investigate the factors that lead firms to cooperate with partners from foreign countries on innovation activities. Portuguese and German data from the harmonised Community Innovation Survey (CIS III) allow us to compare innovation cooperation behaviour of private firms in the two countries. Using a bivariate probit model, we show that the characteristics of firms cooperating w...

 About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...

In this paper we develop a dynamic discrete-time bivariate probit model, in which the conditions for Granger non-causality can be represented and tested. The conditions for simultaneous independence are also worked out. The model is extended in order to allow for covariates, representing individual as well as time heterogeneity. The proposed model can be estimated by Maximum Likelihood. Granger...