𝔖 Bobbio Scriptorium
✦   LIBER   ✦

The asymptotic distribution of the instrumental variable estimators when the instruments are not correlated with the regressors

✍ Scribed by Chirok Han; Peter Schmidt

Book ID
117332120
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
54 KB
Volume
74
Category
Article
ISSN
0165-1765

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Proxy and Instrumental Variable Methods
Proxy and Instrumental Variable Methods in a Regression Model with One of the Regressors Missing
✍ R.N. Bhattacharya; D.K. Bhattacharyya πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 435 KB

Suppose \(Y\) has a linear regression on \(X_{1}, X_{2}\), but observations are only available on \(\left(Y, X_{1}\right)\). If large scale data on \(\left(X_{1}, X_{2}\right)\) are available, which do not include \(Y\), and if the regression of \(X_{2}\), given \(X_{1}\), is nonlinear, then one may

Instrumental variables when evaluating s
Instrumental variables when evaluating screening trials: estimating the benefit of detecting cancer by screening
✍ Martin W. McIntosh πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 261 KB πŸ‘ 3 views

When evaluating the bene"t of detecting cancer by screening we try to answer the question, &what would a screen detected subject's outcome have been if his/her cancer had progressed to clinical detection'. By &outcome' we mean survival time, cancer size and stage, lead time e!ects and more. Because