Finite Sample Properties of Some Alternative Gmm Estimators (Classic Reprint)

Language: English

Published by Forgotten Books, 2024

1334433984 / 9781334433986

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Print on Demand. This book dissects the limitations of traditional econometric methods commonly used in the study of asset pricing models. The author proposes alternative estimators that are asymptotically efficient. These methods are categorized into two-step, iterative, and continuous-updating estimators. The author then compares the finite sample properties of each, including bias, efficiency, coverage accuracy, and power. Using simulations calibrated to monthly and annual time series data, the author demonstrates that two-step and iterative estimators often suffer from severe finite sample biases and exhibit substantial size distortions in tests of overidentifying restrictions. In contrast, the continuous-updating estimator performs well, even in small samples, and often outperforms the other estimators. Notably, the continuous-updating estimator is invariant to how the moment conditions are scaled. The author's findings suggest that researchers should reconsider their traditional reliance on two-step and iterative GMM estimators in favor of continuous-updating GMM, especially when sample sizes are small or when the moment conditions are nonlinear in the parameters of interest. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.

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Title
Finite Sample Properties of Some Alternative Gmm Estimators (Classic Reprint)
Author
Lars Peter Hansen, John Heaton
Publisher
Forgotten Books
Publication year
2024
Condition
New
Book Type
print-on-demand item
Binding
Paperback
Language
English
ISBN 10
1334433984
ISBN 13
9781334433986
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.

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