Sandra Nolte Nolte Measurement Error in Nonlinear Models

Measurement Error in Nonlinear Models

von Sandra Nolte

An Application to Disclosure Limitation Techniques

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Beschreibung

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.

Autor*in

Sandra Nolte

Themen in »Measurement Error in Nonlinear Models«

Additive measurement error Disclosure limitation techniques Econometrics Multiplicative measurement error Nonlinear regression models

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Details

ISBN: 9783643900463
Verlag: LIT
Erscheinung: 11.05.2010

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