Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 701

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

MODEL SELECTION AND INFERENCE: FACTS AND FICTION

Leeb, Hannes, Pötscher, Benedikt M.·2005·Econometric Theory

Abstract

Model selection has an important impact on subsequent inference. Ignoring the model selection step leads to invalid inference. We discuss some intricate aspects of data-driven model selection that do not seem to have been widely appreciated in the literature. We debunk some myths about model selection, in particular the myth that consistent model selection has no effect on subsequent inference asymptotically. We also discuss an “impossibility” result regarding the estimation of the finite-sample distribution of post-model-selection estimators.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/s0266466605050036

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 701

Metadata

Authors
Leeb, H., & Pötscher, B. M.
Venue
Econometric Theory
Published
2005-02
Volume
21
Issue
1
Pages
21-59
ISSN
  • 0266-4666 (ISSN-L)
  • 1469-4360
OpenAlex
W2022943305
Cited by
701
References
1
FWCI
13.42
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MODEL SELECTION AND INFERENCE: FACTS AND FICTION. https://app.cochat.ai/papers/10.1017/s0266466605050036
The paper
Leeb, H., & Pötscher, B. M. (2005). MODEL SELECTION AND INFERENCE: FACTS AND FICTION. Econometric Theory. https://doi.org/10.1017/s0266466605050036

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

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