Typical production objectives in distillation process require the delivery of products whose compositions meet certain specifications. The distillation control system, therefore, must hold product compositions as near the set points as possible in faces of upset. In this project, inferential model predictive control, that utilizes an artificial neural network estimator and model predictive cont...

I provide two practical estimators that can be used by empirical researchers to conduct inference on parameters in static discrete response models with many decision makers and/or when the strategy space is large. The inferential approach is to estimate directly the set of parameter values that satisfy the constraints imposed by the model. Every parameter in the identified set of interest is co...

Consistent instrumental variables (IV) estimation requires instruments uncorrelated with the model errors, but this assumption is usually both suspect and untestable. Here the asymptotic sampling distribution of the IV parameter estimator is derived for any specified instrument-error covariance vector. This result makes it possible to quantify the sensitivity of any particular IV inference resu...

This paper considers the maximum likelihood estimation of factor models of high dimension, where the number of variables (N) is comparable with or even greater than the number of observations (T ). An inferential theory is developed. We establish not only consistency but also the rate of convergence and the limiting distributions. Five different sets of identification conditions are considered....

We complement existing inferential theory for panel factor models by deriving the asymptotics for the …rst di¤erences of the estimated factors and common components obtained from a non-stationary panel factor model. As an application, we propose an estimator for the long run variance of the common components. JEL Classi…cation: C13, C23. Keywords: Non-stationary panels, common factors, common c...

The use of aggregate scores on item response assessments as a proxy for an underlying trait in an econometric model generally produces biased estimators. I show that if the number of items on the assessment is proportional to the square root of the sample size then standard inferential procedures for the linear regression model are incorrect. I propose a bias-corrected estimator based on nonpar...

Some philosophers offer arguments contending that ordinary names such as “London” are radically indeterminate in reference. The conclusion of such arguments is that there is no fact of the matter whether “London” refers to a city in the south of England, or whether instead it refers to Sydney, Australia. Some philosophers have even suggested that we accept the conclusion of these arguments.1 Su...