Depression as a major mental illness among older adults has attracted a lot of research attention. However, the problem of sample selection, inevitable in most health surveys, has been largely ignored. To fill in this gap, this paper formally models selection into the sample jointly with a...

A multivariate binary choice model is used to examine the climate effects on cattle breed selection across Texas counties. Angus, Brangus, and Brahman are considered in the model. Results suggest that it is more efficient to estimate the binary choice equations jointly than separately. Counties...

Recent literature on long-term care looks at the substitutability of informal and professional home-based care arrangements. Other factors that influence the utilization of informal care instead of formal care have been ignored in conditional analyses so far. However, regressors that represent...

Recent literature on long-term care looks at the substitutability of informal and professional home-based care arrangements. Other factors that influence the utilization of informal care instead of formal care have been ignored in conditional analyses so far. However, regressors that represent...

This paper evaluates the performance of a recently emerging multivariate quadrature-based Sparse Grids Integration (SGI) and the well-known Geweke–Hajivassiliou–Keane (GHK) simulator in estimating multivariate binary probit models. Monte Carlo exercises demonstrate that in lower dimension...