We estimate the effects of active labour market policies (ALMP) on subsequent employment by nonparametric instrumental variables and matching estimators.

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.

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

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

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

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

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.

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

This paper investigates how enforcement of labor regulation affects the firm's use of informal labor and firm performance.