منابع مشابه
Forensic identification with imperfect evidence
We study the problem of forensic identification when the trace evidence from the scene of the crime is imperfect: for example, it might be measured with error, or be partially missing. A general framework for imperfect data is developed, and applied in particular to the following cases, singly and in combination: 'measurement error' in the recorded information at the scene of the crime; 'binnin...
متن کاملIdentification and Inference With Many Invalid Instruments
We study estimation and inference in settings where the interest is in the effect of a potentially endogenous regressor on some outcome. To address the endogeneity we exploit the presence of additional variables. Like conventional instrumental variables, these variables are correlated with the endogenous regressor. However, unlike conventional instrumental variables, they also have direct effec...
متن کاملIdentification with Conditioning Instruments in Causal Systems
We study the structural identification of causal effects with conditioning instruments within the settable system framework. In particular, we provide causal and predictive conditions sufficient for conditional exogeneity to hold. We provide two procedures based on “exclusive of A” (~A)-causality matrices and the direct causality matrix for inferring conditional causal isolation among vectors o...
متن کاملEnvironmental Regulation: Choice of Instruments under Imperfect Compliance∗
Compliance is an important issue in environmental regulation. We discuss some of the key elements of the problem and analyze a situation where emissions are not random and firms are risk-neutral. We study the firm’s decision on emissions and compliance when the environmental regulation is based on standards and the enforcement agency audits the firm with a certain probability. We compare total ...
متن کاملAssessing the Credibility of Instrumental Variables Inference with Imperfect Instruments Via Sensitivity Analysis
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Review of Economics and Statistics
سال: 2012
ISSN: 0034-6535,1530-9142
DOI: 10.1162/rest_a_00171