Research methods

We propose inference procedures for partially identified population features for which the population identification region can be written as a transformation of the Aumann expectation of a properly defined set valued random variable (SVRV).

We consider nonparametric estimation of a regression function that is identified by requiring a specified quantile of the regression "error" conditional on an instrumental variable to be zero.

The use of fractional imputation, nearest neighbour imputation, predictive mean matching and propensity score weighting are considered. Properties of point estimators are compared both theoretically and by simulation.

Efficient semiparametric and parametric estimates are developed for a spatial autoregressive model, containing non stochastic explanatory variables and innovations suspected to be non-normal.

We consider the estimation of parametric models for stationary spatial or spatio-temporal data on a d-dimensional lattice, for d ? 2.

In this paper we study the impact of misreported treatment status on the estimation of causal treatment effects.

In this paper we study the impact of misreported treatment status on the estimation of causal treatment effects.

In this paper we show how experimental data from field trials can be used to enhance the evaluation of interventions and we also illustrate the potential importance of allowing for longer term incentive and General Equilibrium effects.

In this paper we consider consumer benefits from increased competition in a differentiated product setting: the spread of non-traditional retail outlets.

This paper is concerned with inference about a function g that is identified by a conditional moment restriction involving instrumental variables.

In this note we consider several versions of the bootstrap and argue that it is helpful in explaining and thinking about such procedures to use an explicit representation of the random resampling process.

Recent work by Schennach has opened the way to a Bayesian treatment of quantile regression.

In this paper we provide textual evidence on the sophistication of medieval deterrence strategies.

The impact of duration response measurement error is investigated by using small variance approximations.

Current methods of estimating the random coefficients logit model employ simulations of the distribution of the taste parameters through pseudo-random sequences.

The paper provides significant simplifications and extensions of results obtained by Gorsich, Genton, and Strang (J. Multivariate Anal.

The paper provides significant simplifications and extensions of results obtained by Gorsich, Genton, and Strang (J. Multivariate Anal. 80 (2002) 138) on the structure of spatial design matrices.

In this paper we estimate the rate of return to firm investments in human capital in the form of formal job training.

This article is concerned with estimating the additive components of a nonparametric additive quantile regression model.