This article reviews recent significant progress made in develo** estimation and inference
methods for nonlinear models in the presence of mismeasured data that may or may not …

Chapters 3, 4, 5, 6, and 7 were concerned with the derivation of UMP, UMP unbiased, and
UMP invariant tests. Unfortunately, the existence of such tests turned out to be restricted …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

This paper formulates and estimates multistage production functions for children's cognitive
and noncognitive skills. Skills are determined by parental environments and investments at …

The ability of quantile regression models to characterize the heterogeneous impact of
variables on different points of an outcome distribution makes them appealing in many …

This paper seeks to illuminate national accounts GDP growth using satellite-recorded
nighttime lights in a measurement error model framework. Using recently developed results …

This paper studies a shape‐invariant Engel curve system with endogenous total
expenditure, in which the shape‐invariant specification involves a common shift parameter …

While the literature on nonclassical measurement error traditionally relies on the availability
of an auxiliary data set containing correctly measured observations, we establish that the …

Measurement error is widespread in statistical and/or economic data and can have
substantial impact on point estimates and statistical inference in general. Accordingly, there …

This book presents a survey of advanced parametric statistical theory. It requires a basic
knowledge of measure theory and probability theory, at about the level of Ash (1972) or …