This paper aims to construct an empirical model for the analysis of two principal simultaneous decisions of farm operators: participation in the off-farm labor market, and the amount of resources to invest in farm capital. We first develop a theoretical model analyzing the effects of exogenous shocks on farmers’ decisions. Then, we estimate jointly a multinomial probit model of farmers’ off-far...

This paper explores the triangle of relationships among product, process and organizational innovation, examining the complementarities and substitutes between these forms of innovation. Drawing from a large pooled sample of French and UK manufacturing firms, it investigates if firms can find a beneficial interplay between forms of innovation. A first analysis through a trivariate probit and a ...

DCM (Discrete Choice Models) is a package for estimating a class of discrete choice models. DCM is a class written in Ox, that implements a wide range of discrete choice models including standard binary response models, with notable extensions including conditional mixed logit, mixed probit, multinomial probit, and random coefficient ordered choice models. The current version can handle both cr...

Understanding the underlying relationship between crash injury severity and factors such as driver’s characteristics, vehicle type, and roadway conditions is very important for improving traffic safety. Most previous studies on this topic used traditional statistical models such as ordered probit OP , multinomial logit, and nested logit models. This research introduces the Bayesian inference an...

In this paper we derive locally D-optimal designs for discrete choice experiments based on multinomial probit models. These models include several explanatory variables as well a quantitative one. The commonly used logit model assumes independent utilities different options. Thus, optimal such may comprise sets, e.g., consisting of alternatives which are identical in all attributes but the vari...

In this paper, we will review the literature on technological innovation persistence and provide a general theoretical framework to analyze the main determinants of this innovative behavior. Moreover, no previous empirical study has taken into account organizational innovation practices as possible determinants of innovation persistence. We will therefore include them, as previous studies have ...

We develop a new Gibbs sampler for a linear mixed model with a Dirichlet process random effect term, which is easily extended to a generalized linear mixed model with a probit link function. Our Gibbs sampler exploits the properties of the multinomial and Dirichlet distributions, and is shown to be an improvement, in terms of operator norm and efficiency, over other commonly used MCMC algorithm...

This study focuses on how to use multiple data sources, including loop detector counts, AVI Bluetooth travel time readings and GPS location samples, to estimate microscopic traffic states on a homogeneous freeway segment. A multinomial probit model and an innovative use of Clark’s approximation method were introduced to extend Newell’s method to solve a stochastic threedetector problem. The mea...