It takes the average reader 2 hours and 53 minutes to read Measurement Error in Nonlinear Models by Sandra Nolte
Assuming a reading speed of 250 words per minute. Learn more
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.
Measurement Error in Nonlinear Models by Sandra Nolte is 168 pages long, and a total of 43,344 words.
This makes it 57% the length of the average book. It also has 53% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 56 minutes to read Measurement Error in Nonlinear Models aloud.
Measurement Error in Nonlinear Models is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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