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Characterizing M-estimators

Timo Dimitriadis, Tobias Fissler, Johanna Ziegel

arXiv 17 Aug 2022 · Mathematics — Statistics Theory · publishedBiometrika (2023) · 14 citations (OpenAlex)

arXiv:2208.08108 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We characterize the full classes of M-estimators for semiparametric models of general functionals by formally connecting the theory of consistent loss functions from forecast evaluation with the theory of M-estimation. This novel characterization result opens up the possibility for theoretical research on efficient and equivariant M-estimation and, more generally, it allows to leverage existing results on loss functions known from the literature of forecast evaluation in estimation theory.

Citation extraction

33
references
57
in-text mentions
33
distinct cited
9
self-citations
3,875
main-text words

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Gneiting, T (2011) Making and evaluating point forecasts1.00053100%
2Fissler, T. and Ziegel, J. F (2016) Higher order elicitability and Osband's principle self0.92843100%
3Gourieroux, C., Monfort, A., and Renault, E (1987) Consistent M-estimators in a semi-parametric model0.8435460%
4Newey, W. K. and McFadden, D (1994) Large sample estimation and hypothesis testing0.7946550%
5Patton, A. J., Ziegel, J. F., and Chen, R (2019) Dynamic semiparametric models for expected shortfall (and value-at-risk) self0.73732100%
6Huber, P. J (1967) The behavior of maximum likelihood estimates under nonstandard conditions0.64422100%
7Nolde, N. and Ziegel, J. F (2017) Elicitability and backtesting: Perspectives for banking regulation self0.5853333%
8Barendse, S (2022) Efficiently weighted estimation of tail and interquartile expectations0.40511100%
9Bollerslev, T (1986) Generalized autoregressive conditional heteroskedasticity0.40511100%
10Chamberlain, G (1987) Asymptotic efficiency in estimation with conditional moment restrictions0.40511100%

Showing the top 10 of 33 scored citations.