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Statistical Methods of Econometrics

Wold, H., Malinvaud, E.·1970·Econometrica

Abstract

This now classic volume aims at a systematic presentation of the statistical methods used for the analysis of economic data. The properties of the various procedures are studied within the framework of theoretical stochastic models. Their relevance for inference on the economic phenomena is discussed at length. This third edition has been updated in many respects. Chapter 8 (Regression in Various Contexts) has been rewritten and now provides a full discussion of estimation in the linear models with a partially unknown covariance matrix, which introduces a systematic treatment of heteroscedasticity, random coefficients and composite errors. A new chapter has been added on simultaneous equation models that are non-linear with respect to the endogenous variables. The reader will also find new sections on shrunken estimators, on the choice of a model, on specification and estimation for distributed lag equations.

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Metadata

Authors
Wold, H., & Malinvaud, E.
Venue
Econometrica
Publisher
JSTOR
Published
1970-05
Volume
38
Issue
3
Pages
578
ISSN
0012-9682 (ISSN-L)
OpenAlex
W2025848052
Cited by
780
References
0
FWCI
51.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Statistical Methods of Econometrics. https://app.cochat.ai/papers/10.2307/1909564
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Wold, H., & Malinvaud, E. (1970). Statistical Methods of Econometrics. Econometrica. https://doi.org/10.2307/1909564

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.