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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.
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Measurement error in nonlinear models, Sandra Nolte
- Sprache
- Erscheinungsdatum
- 2010
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- Measurement error in nonlinear models
- Sprache
- Englisch
- Autor*innen
- Sandra Nolte
- Verlag
- Lit
- Erscheinungsdatum
- 2010
- Einband
- Paperback
- ISBN10
- 3643900465
- ISBN13
- 9783643900463
- Reihe
- Applied econometrics
- Kategorie
- Skripten & Universitätslehrbücher
- 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.