"Statistical adequacy" is an important prerequisite for securing reliable inference in empirical modelling. This paper … argues for more emphasis on replication that specifically assesses whether the results reported in empirical studies are … diagnostic tests for misspecification. A replication plan is briefly outlined to illustrate what this would involve in practice …

"rudimentary models" and models for "limited information inference", (ii) the distinction between exogeneity of variables and the …

(with asymptotic guarantees) for choosing the regularization parameter. We also sketch an inference strategy built upon this …

This paper considers identification and inference about the sign of the average effect of a binary endogenous regressor … each set of restrictions, we also develop methods for simultaneous inference about the consistency of the distribution of … with our restrictions. We show that our inference procedures are valid uniformly over a large class of possible …

) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression … whether any selected inference is "robust" versus "fragile." The usefulness of this sensitivity analysis-as a "screen" for …