• This paper analyzes the possibility of detecting observable and non-observable social interactions in a bivariate probit model with an endogenous dummy regressor via Monte Carlo simulation. In small samples, we find severe size distortions of the Wald test and only a low probability of detecting observable and non-observable social interactions. In large samples, however, we find this test to be very powerful. Key-Words: • parameter tests; bivariate probit model; Monte Carlo study
Correlated binary data arise in many applications. Any analysis of this type of data should take in...
This paper proposes a new method for identifying social interactions using conditional variance rest...
This paper investigates the finite sample distributions of maximum likelihood estimators for nonstat...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
Lagrange multiplier and Wald tests for the hypothesis of absence of unobserved confounding are exten...
This dissertation investigates semiparametric social interaction models. The goal is to identify and...
This paper studies the econometric properties of a linear-in-means model of so-cial interactions. Un...
The classic recursive bivariate probit model is of particular interest to researchers since it allow...
<p>We consider an extended spatial autoregressive model that can incorporate possible endogenous int...
Bivariate probit models can deal with a problem usually known as endogeneity. This issue is likely t...
The aim of this work is to implement a statistical mechanics theory of social interaction, generaliz...
Results of Bayesian multi-membership multilevel probit models for the effects of sitting next to eac...
Bivariate probit models can deal with a problem usually known as endogeneity. This issue is likely t...
Correlated binary data arise in many applications. Any analysis of this type of data should take in...
This paper proposes a new method for identifying social interactions using conditional variance rest...
This paper investigates the finite sample distributions of maximum likelihood estimators for nonstat...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
We conduct an extensive Monte Carlo experiment to examine the finite sample properties of maximum-li...
Lagrange multiplier and Wald tests for the hypothesis of absence of unobserved confounding are exten...
This dissertation investigates semiparametric social interaction models. The goal is to identify and...
This paper studies the econometric properties of a linear-in-means model of so-cial interactions. Un...
The classic recursive bivariate probit model is of particular interest to researchers since it allow...
<p>We consider an extended spatial autoregressive model that can incorporate possible endogenous int...
Bivariate probit models can deal with a problem usually known as endogeneity. This issue is likely t...
The aim of this work is to implement a statistical mechanics theory of social interaction, generaliz...
Results of Bayesian multi-membership multilevel probit models for the effects of sitting next to eac...
Bivariate probit models can deal with a problem usually known as endogeneity. This issue is likely t...
Correlated binary data arise in many applications. Any analysis of this type of data should take in...
This paper proposes a new method for identifying social interactions using conditional variance rest...
This paper investigates the finite sample distributions of maximum likelihood estimators for nonstat...