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Cited by 304

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained From Financial Market Data

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Tauchen, George·1986·Journal of Business & Economic Statistics

Abstract

The article examines the properties of generalized method of moments GMM estimators of utility function parameters. The research strategy is to apply the GMM procedure to generated data on asset returns from stochastic exchange economies; discrete methods and Markov chain models are used to approximate the solutions to the integral equations for the asset prices. The findings are as follows: (a) There is variance/bias trade-off regarding the number of lags used to form instruments; with short lags, the estimates of utility function parameters are nearly asymptotically optimal, but with longer lags the estimates concentrate around biased values and confidence intervals become misleading, (b) The test of the overidentifying restrictions performs well in small samples; if anything, the test is biased toward acceptance of the null hypothesis.

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Crossref · 10.1080/07350015.1986.10509537

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Metadata

Authors
Tauchen, G.
Venue
Journal of Business & Economic Statistics
Published
1986-10
Volume
4
Issue
4
Pages
397-416
ISSN
  • 0735-0015 (ISSN-L)
  • 1537-2707
OpenAlex
W1990789699
Cited by
304
References
1
FWCI
9.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained From Financial Market Data. https://app.cochat.ai/papers/10.1080/07350015.1986.10509537
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Tauchen, G. (1986). Statistical Properties of Generalized Method-of-Moments Estimators of Structural Parameters Obtained From Financial Market Data. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1986.10509537

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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