Centre for microdata methods and practice
We propose a bootstrap-based calibrated projection procedure to build confidence intervals for single components and for… Continue reading.
This paper proposes a bootstrap-based procedure to build confidence intervals for single components of a partially… Continue reading.
This paper provides inference methods for best linear approximations to functions which are known to lie… Continue reading.
This paper illustrates how the use of random set theory can benefit partial identification analysis. We… Continue reading.
We provide a tractable characterization of the sharp identification region of the parameter vectorθ in a… Continue reading.
This paper illustrates how the use of random set theory can benefit partial identification analysis. We… Continue reading.
We provide a tractable characterization of the sharp identification region of the parameters θ in a… Continue reading.
We provide a tractable characterization of the sharp identification region of the parameters θ in a… Continue reading.
We propose inference procedures for partially identified population features for which the population identification region can… Continue reading.
We study identification in static, simultaneous move finite games of complete information, where the presence of… Continue reading.