When one wants to estimate a model without specifying the functions and distributions
parametrically, or when one wants to analyze the identification of a model independently of …

This chapter reviews recent advances in nonparametric and semiparametric estimation, with
an emphasis on applicability to empirical research and on resolving issues that arise in …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

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 …

The concept of nonparametric smoothing is a central idea in statistics that aims to
simultaneously estimate and modes the underlying structure. The book considers high …

The majority of empirical research in economics ignores the potential benefits of
nonparametric methods, while the majority of advances in nonparametric theory ignores the …

The volume on New Directions in Spatial Econometrics appeared in 1995 as one of the first
in the then new Springer series on Advances in Spatial Sciences. It very quickly became …

In this paper we study the problem of learning Rectified Linear Units (ReLUs) which are
functions of the form $\vct {x}\mapsto\max (0,\langle\vct {w},\vct {x}\rangle) $ with $\vct …

This book provides an accessible collection of techniques for analyzing nonparametric and
semiparametric regression models. Worked examples include estimation of Engel curves …

This book is intended to introduce graduate students and practicing professionals to some of
the main ideas and methods of semiparametric and nonparametric estimation in …