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Partial Identification of Probability Distributionsby Charles F. Manski

โœ Scribed by Review by: Alan F. Karr

Book ID
125258594
Publisher
American Statistical Association
Year
2007
Tongue
English
Weight
299 KB
Volume
102
Category
Article
ISSN
0162-1459

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๐Ÿ“œ SIMILAR VOLUMES

Partial identification of probability di
Partial identification of probability distributions
โœ Charles F. Manski ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer ๐ŸŒ English โš– 926 KB

Sample data alone never suffice to draw conclusions about populations. Inference always requires assumptions about the population and sampling process. Statistical theory has revealed much about how strength of assumptions affects the precision of point estimates, but has had much less to say about

Charles F. Manski, Identification for Pr
Charles F. Manski, Identification for Prediction and Decision (Harvard University Press 2007)
โœ J. Stoye ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 66 KB

Few econometricians have recently impacted the way we think about our field as much as Charles Manski. The main channel by which he has accomplished this is through study of partial identification, or bounds. For a simple example, consider the distribution of employment status in a population of int