This paper is concerned with the estimation of the model MED ( y 1 x) = x/3 from a random sample of observations on (sgn y, x). Manski (1975) introduced the maximum score estimator of the normalized parameter vector /3 * = /3/]]8]]. In the present paper, strong consistency is proved. It is also proved that the maximum score estimate lies outside any fixed neighborhood of p * with probability that goes to zero at exponential rate. 1
This Master thesis investigates the semi-parametric estimation method Maximum Score of Manski (1988)...
This paper extends Horowitz’s smoothed maximum score estimator to discrete-time duration model...
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regressi...
Abstract. Since Manski’s (1975) seminal work, the maximum score method for discrete choice models ha...
This paper reports on the operational characteristics of maximum score estimation of a linear model ...
This paper is concerned with semiparametric estimation of a threshold binary re-sponse model. The es...
This paper describes a semiparametric estimator for binary response models in which there may be arb...
This paper is concerned with semiparametric estimation of a threshold binary response model. The est...
The smoothed maximum score estimator of the coefficient vector of a binary response model is consist...
ABSTRACT. This paper studies the semiparametric binary response model with interval data investigate...
In a seminal paper, Manski (1975) introduces the Maximum Score Estimator (MSE) of the structural par...
Estimators with cube root asymptotics are typically the result of M-estimation with non-smooth objec...
This paper shows that the bootstrap does not consistently estimate the asymptotic distribution of th...
This paper introduces a class of robust estimators of the parameters of a stochastic utility functio...
Maximum score estimation is a class of semiparametric methods for the coefficients of regression mod...
This Master thesis investigates the semi-parametric estimation method Maximum Score of Manski (1988)...
This paper extends Horowitz’s smoothed maximum score estimator to discrete-time duration model...
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regressi...
Abstract. Since Manski’s (1975) seminal work, the maximum score method for discrete choice models ha...
This paper reports on the operational characteristics of maximum score estimation of a linear model ...
This paper is concerned with semiparametric estimation of a threshold binary re-sponse model. The es...
This paper describes a semiparametric estimator for binary response models in which there may be arb...
This paper is concerned with semiparametric estimation of a threshold binary response model. The est...
The smoothed maximum score estimator of the coefficient vector of a binary response model is consist...
ABSTRACT. This paper studies the semiparametric binary response model with interval data investigate...
In a seminal paper, Manski (1975) introduces the Maximum Score Estimator (MSE) of the structural par...
Estimators with cube root asymptotics are typically the result of M-estimation with non-smooth objec...
This paper shows that the bootstrap does not consistently estimate the asymptotic distribution of th...
This paper introduces a class of robust estimators of the parameters of a stochastic utility functio...
Maximum score estimation is a class of semiparametric methods for the coefficients of regression mod...
This Master thesis investigates the semi-parametric estimation method Maximum Score of Manski (1988)...
This paper extends Horowitz’s smoothed maximum score estimator to discrete-time duration model...
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regressi...