J. S. Buzas Department of Statistics North Carolina State University Raleigh, NC 27695 We describe an approach to instrumental variable estimation in binary regression measurement error models. The method entails constructing an approximate mean model for the binary response as a function of the measured predictor, the instrument and any covariates in the model. Estimates are obtained by exploi...

Instrumental variables (IV) estimators are well established to correct for measurement error on exposure in a broad range of fields. In a distinct prominent stream of research IV's are becoming increasingly popular for estimating causal effects of exposure on outcome since they allow for unmeasured confounders which are hard to avoid. Because many causal questions emerge from data which suffer ...

The copyright to this Article is held by the Econometric Society. It may be downloaded, printed and reproduced only for educational or research purposes, including use in course packs. No downloading or copying may be done for any commercial purpose without the explicit permission of the Econometric Society. For such commercial purposes contact the Office of the Econometric Society (contact inf...

We studied how value for instrumental action is discounted by predicted effort and delay. The monkeys were trained to perform instrumental trials that required a bar release when a visual target changed from red-to-green. There were two trial conditions. In delay trials, after the monkeys performed one instrumental trial correctly a reward was delivered 0-7 seconds later. In work trials, the mo...

Recent within-twin estimates of the return to schooling that use instrumental variables to correct for measurement error are considerably higher than existing estimates. This paper extends Griliches’ [Griliches (1979) Sibling models and data in economics: beginnings of a survey, Journal of Political Economy 87, S37–S64]. analysis of sibling or twin estimates of the return to schooling to show t...

A new iterative method using closed-loop data for controller tuning based on the correlation approach is proposed. The main idea is to make the output error between the closed-loop system and a reference model uncorrelated with the reference signal. The controller parameters are calculated as the solution to a correlation equation involving instrumental variables. Convergence and consistency of...