It's been over a decade since the first edition of Measurement Error in Nonlinear Models
splashed onto the scene, and research in the field has certainly not cooled in the interim. In …

This paper provides a general solution to the problem of identification and estimation of
nonlinear models with misclassification error in a general discrete explanatory variable …

This paper addresses the problem of data errors in discrete variables. When data errors
occur, the observed variable is a misclassified version of the variable of interest, whose …

Statistical analysis of natural hazards needs particular attention, as most of these
phenomena are rare events. This study shows that the ordinary rare event logistic …

The interaction of economic agents is one of the most important elements in economic
analyses. Social interactions on subjective outcomes, behavior, or decisions, are inherently …

This study presents a survey-based method for conducting inference into the determinants of
sensitive political behavior. The approach combines two well-established literatures in …

Introduction The occurrence of “secondary crashes” is one of the critical yet understudied
highway safety issues. Induced by the primary crashes, the occurrence of secondary …

In this paper, we estimate the extent of misclassification in patent examination decisions
between the European Patent Office (EPO) and the Japanese Patent Office (JPO), that is …

This paper develops an empirical occupational choice model that corrects for
misclassification in occupational choices and measurement error in occupation-specific …

The very few studies on the empirical link between time preference and migration involve
small samples or do not control for cognitive skills. This study uses data from a large …