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Best Book Deals & Free PDF Download Measurement Error in Nonlinear Models: An Application to Disclosure Limitation Techniques by John Nolte

Measurement Error in Nonlinear Models: An Application to Disclosure Limitation Techniques by John Nolte

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Author
John Nolte
Publisher
Lit Verlag
Date of release
Pages
168
ISBN
9783643900463
Binding
Paperback
Illustrations
Format
PDF, EPUB, MOBI, TXT, DOC
Rating
3
37

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Measurement Error in Nonlinear Models: An Application to Disclosure Limitation Techniques

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Book review

This book analyzes how the choice of a particular disclosure limitation method, namely additive and multiplicative measurement error, affects the quality of the data and limits its usefulness for empirical research. Generally, a disclosure limitation method can be regarded as a data filter that transforms the true data generating process. This book focuses explicitly on the consequences of additive and multiplicative measurement error for the properties of nonlinear econometric estimators. It investigates the extent to which appropriate econometric techniques can yield consistent and unbiased estimates of the true data generating process in the case of disclosure limitation. Sandra Nolte received her PhD in Economics at the University of Konstanz, Germany in 2008 and is a postdoctoral researcher at the Financial Econometric Research Centre at the Warwick Business School, UK since 2009. Her research areas include microeconometrics and financial econometrics.


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