This paper proposes an information-based inference method for partially identified parameters in incomplete models that is… Continue reading.
We propose a robust method of discrete choice analysis when agents’ choice sets are unobserved. Our… Continue reading.
This paper is concerned with learning decision makers’ preferences using data on observed choices from a… Continue reading.
As a consequence of missing data on tests for infection and imperfect accuracy of tests, reported… Continue reading.
This chapter reviews the microeconometrics literature on partial identiﬁcation, focusing on the developments of the last… Continue reading.
We propose a bootstrap-based calibrated projection procedure to build confidence intervals for single components and for… Continue reading.
Econometrics has traditionally revolved around point identication. Much effort has been devoted to finding the weakest… Continue reading.
This paper provides inference methods for best linear approximations to functions which are known to lie… Continue reading.
This paper is concerned with learning decision makers’ (DMs) preferences using data on observed choices from… Continue reading.