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 …

Over the last three decades, mixed models have been frequently used in a wide range of
small area applications. Such models offer great flexibilities in combining information from …

This paper provides a set of sufficient conditions that point identify a quantile regression
model with fixed effects. It also proposes a simple transformation of the data that gets rid of …

This paper presents new identification results for models of first–price, second–price,
ascending (English), and descending (Dutch) auctions. We consider a general specification …

Deconvolution problems occur in many fields of nonparametric statistics, for example,
density estimation based on contaminated data, nonparametric regression with errors-in …

In many procurement auctions, the bidders' unobserved costs depend both on a common
shock and on idiosyncratic private information. Assuming a multiplicative structure, I derive …

This chapter discusses structural econometric approaches to auctions. Remarkably, much of
what can be learned from auction data can be learned without restrictions beyond those …

In public procurement, social welfare often depends on how quickly the good is delivered. A
leading example is highway construction, where slow completion inflicts a negative …

This paper examines bidding in over 1,700 knockout auctions used by a bidding cartel (or
ring) of stamp dealers in the 1990s. The knockout was conducted using a variant of the …

This paper presents a solution to an important econometric problem, namely the root n
consistent estimation of nonlinear models with measurement errors in the explanatory …