This paper illustrates how public goods may be incorporated into a cost-of-living index. When public goods are weak complements to a market good, quality-adjusted prices for the market good capture all the welfare information required. They are also consistent with a Laspeyres index that...

We estimate the incremental financing decision for a sample of some 150Dutch companies for the years 1984 through 1997, thereby distinguishinginternal finance and three types of external finance: bank borrowing, bondissues and share issues. First, we estimate a multinomial logit model...

In this paper probabilistic models have been proposed for learning and analysis about discrete choice behaviour. The first problem discussed in the article above is the specification and estimation of parameters of three models, the linear probability model and the nonlinear logit and probit...

We estimate the incremental financing decision for a sample of some 150 Dutch companies for the years 1984 through 1997, thereby distinguishing internal finance and three types of external finance: bank borrowing, bond issues and share issues. First, we estimate a multinomial logit model which...

The objective of this research is to understand the demand for information technology among trucking companies. A multivariate discrete choice model is estimated on data from a large-scale survey of the trucking industry in California. This model is designed to identify the influences of each of...

We estimate the incremental financing decision for a sample of some 150Dutch companies for the years 1984 through 1997, thereby distinguishinginternal finance and three types of external finance: bank borrowing, bondissues and share issues. First, we estimate a multinomial logit model...

This review discusses the use of discrete choice dynamic programming (DCDP) methods for evaluating policies of particular relevance to developing countries, such as policies to reduce child labor and increase school attendance, improve school quality, affect immigration flows, expand old-age...

We introduce an approach for semiparametric inference in dynamic binary choice models that does not impose distributional assumptions on the state variables unobserved by the econometrician. The proposed framework combines Bayesian inference with partial identification results. The method is...