Claim · 2017 · publication · Stated in source · Supported

“Machine Learning: An Applied Econometric Approach” (2017) credits Jann Spiess as one of its 2 authors.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

Jann Spiess → authored → Machine Learning: An Applied Econometric Approach

Where it appears

No collection page holds this claim. It is listed with its records in the explorer.

Claim and evidence

Jann Spiessauthored ↓Machine Learning: An Applied Econometric Approach

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2017 · publication Records dated 2017 →

Scope and limitsCredited co-authorship; it does not allocate parts of the text between authors or imply agreement with every passage. The identifying page establishes no role or affiliation.

The evidence 01

primary sourceSupports the claim

Machine Learning: An Applied Econometric Approach

Journal of Economic Perspectives 31(2), Spring 2017, pp. 87–106 · 2017

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“Jann Spiess”

Location in source Author list (byline) of the retrieved copy

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Sendhil Mullainathan; Jann Spiess
Version: Abstract page only. Current copy retrieved directly on 2026-10-09; no archive capture (Wayback unreachable), so earlier bytes are not authenticated. SHA-256 eedb655b363848852d4300eaa5009a52ca3f0b9d44e1724a3d4202ea98ac2ab3. Full text not retrieved; only the AEA abstract page. Mullainathan, S., & Spiess, J. (2017). Machine learning: An applied econometric approach. Journal of Economic Perspectives, 31(2), 87–106. https://doi.org/10.1257/jep.31.2.87
Canonical address: Open the canonical source ↗
Accessed: 2026-10-09
Language: English (en)
Attribution: Sendhil Mullainathan, Jann Spiess, “Machine Learning: An Applied Econometric Approach”, Journal of Economic Perspectives 31(2), Spring 2017, pp. 87–106, 2017.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Name as printed in the byline of a fresh retrieval. The quotation (2 words) matched the text retrieved for the candidate pack on 2026-10-29. Matching ignored differences of whitespace, case, quotation marks, dashes, PDF line-break hyphens and Unicode compatibility forms, so the source’s typography can differ. A cross-family machine check (2026-10-30, item 87) re-read the record’s sources and agreed with the record. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. Authorship as credited in the document. Does not imply sole authorship.

Date. Date the dataset’s source record gives for this text; authorship is credited in the inspected expression.

Record ID pp-au-jann-spiess-mullainathan-spiess-2017-machine-learning-econometric