Add to ORKGThis article has considered methods of simulated moments for estimation of discrete response models. We have introduced a modified method of simulated moments of McFadden [1989]. Using the same number of Monte Carlo draws as in McFadden's method of simulated moments, our estimator is asymptotically efficient relative to McFadden's estimator. In addition to the method of simulated moments, we have considered also maximum simulated likelihood estimation methods. The estimators are shown to be consistent and asymptotically normal without excessive number of Monte Carlo draws. JEL classification number: 21
This paper examines ways to perform simulation of travel behavior with less computer time for a give...
When a part of data is unobserved the marginal likelihood of parameters given the observed data ofte...
The asymptotic relative efficiency of efficient method of moments when implemented with a seminonpar...
This article has considered methods of simulated moments for estimation of discrete response models...
This paper proposes a simple modification of a conventional generalized method of moments estimator ...
We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimat...
This article reports Monte Carlo results on the simulated maximum likelihood estimation of discrete ...
In this article, we investigate a bias in an asymptotic expansion of the simulated maximum likelihoo...
We present a computational approach to the method of moments using Monte Carlo simulation. Simple al...
This book describes the new generation of discrete choice meth-ods, focusing on the many advances th...
A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outc...
Over the past decade, a substantial literature on methods for the estimation of discrete choice dyna...
This chapter compares the performance of the maximum simulated likelihood (MSL) approach with the co...
We describe the properties of (t,m, s)-nets and Halton draws. Four types of (t,m, s)-nets, two types...
This paper analyzes a new estimator for the structural parameters of dynamic models of discrete choi...
This paper examines ways to perform simulation of travel behavior with less computer time for a give...
When a part of data is unobserved the marginal likelihood of parameters given the observed data ofte...
The asymptotic relative efficiency of efficient method of moments when implemented with a seminonpar...
This article has considered methods of simulated moments for estimation of discrete response models...
This paper proposes a simple modification of a conventional generalized method of moments estimator ...
We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimat...
This article reports Monte Carlo results on the simulated maximum likelihood estimation of discrete ...
In this article, we investigate a bias in an asymptotic expansion of the simulated maximum likelihoo...
We present a computational approach to the method of moments using Monte Carlo simulation. Simple al...
This book describes the new generation of discrete choice meth-ods, focusing on the many advances th...
A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outc...
Over the past decade, a substantial literature on methods for the estimation of discrete choice dyna...
This chapter compares the performance of the maximum simulated likelihood (MSL) approach with the co...
We describe the properties of (t,m, s)-nets and Halton draws. Four types of (t,m, s)-nets, two types...
This paper analyzes a new estimator for the structural parameters of dynamic models of discrete choi...
This paper examines ways to perform simulation of travel behavior with less computer time for a give...
When a part of data is unobserved the marginal likelihood of parameters given the observed data ofte...
The asymptotic relative efficiency of efficient method of moments when implemented with a seminonpar...