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Paper Citation Record · LEDGER

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models

As of 11 August 2026, this Paper Citation Record lists 100 of 135 outbound references and 0 inbound Pith citation observations for arXiv:2507.13788.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.13788 v1

Coverage vector

measured 100 of 135 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:27:19.912450Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 135 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved91
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0293baec-33f6-461f-b640-3ea119a5597d · outbound

This paper cites write newline.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models write newline

Reference 1

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Observation a1c58193-83f3-43fa-b0aa-b27eabe41807 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 2

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Observation 69528274-1704-4c61-b208-148b7bfa5801 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 3

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Observation fed21447-be1f-4bed-a3d6-6032dfc673a7 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 4

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Observation ed6640e4-c09a-4154-9273-79bc11f1627e · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 5

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Observation 03373744-5712-499d-861b-6d174fcab7b3 · outbound

This paper cites rep., National Bureau of Economic Research.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models rep., National Bureau of Economic Research

Reference 6

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This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 7

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This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 8

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Observation ee7a5115-ff02-42aa-a9fc-3b045c817462 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 9

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This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 10

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This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 11

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Observation bb9c4e57-4ffa-4378-a46d-fa01c21d7a45 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 12

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Observation a9304449-19a3-4980-9d96-919fd1bcb1a6 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 13

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Observation 4e7f3396-cacb-424a-a63e-7ee88a1a1090 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 14

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Observation 248130a5-928d-4f83-93f0-bb47025bff55 · outbound

This paper cites On the Existence and Information of Orthogonal Moments.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models On the Existence and Information of Orthogonal Moments

Reference 15

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Observation 4ba1739c-7f50-4b2b-bfee-2234a1168213 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 16

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Observation 3a1d3941-5470-4c9a-813e-6a5bf1726539 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 17

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Observation e86a8719-80b5-4056-8390-80e6f3c8847c · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 18

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Observation 9c915c29-f1c4-4dd4-9b9a-accbe692a5cd · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 19

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Observation b4fa23f0-0518-4005-b770-882e90aeb3d2 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Source Condition Double Robust Inference on Functionals of Inverse Problems

Reference 20

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 21

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models (2011): Panel Data, Inverse Problems, and the Estimation of Policy Parameters , Unpublished manuscript

Reference 22

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 23

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 24

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Observation b46af69b-ef6b-4e0e-a7f2-c16def20f9b4 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Estimating Heterogeneous Effects: Applications to Labor Economics

Reference 25

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation 2511572c-78f5-43cd-9ed3-0f4e2ab05606 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models rep., National Bureau of Economic Research

Reference 30

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models 6 of Handbook of Econometrics, Elsevier

Reference 31

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation 5d1d9bc3-3ea2-47df-9afb-1e63a2ef371f · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation d1bdb209-d750-4fdb-be03-ba0968f1036c · outbound

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Reference 41

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Observation 2e3bce3d-c9cf-480d-b01b-7631dd6d6714 · outbound

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Reference 42

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Observation ed32b420-41dc-4d4f-bc9d-038703f69f5b · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 43

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Observation a579ab4f-9929-4339-b0dd-71df692c25b9 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation 9e3a2fb1-6be8-4f99-bad1-55936e2bdd90 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation 4e6c47e4-958d-4dd4-8542-f62169d7226f · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 46

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Observation 485ad49e-a915-4dd3-913b-12b3f7ada3a1 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 47

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Observation 00496f73-f203-40b7-8daf-51d220133381 · outbound

This paper cites Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models

Reference 48

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Observation 23f744fe-c52d-43d3-ba8d-d228cc25cdbd · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

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Observation 38beb3d3-2878-42c3-b128-8433745e197c · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 50

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Observation 8e31e368-2a55-4cb4-9d7c-1b1a064428d4 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 51

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Observation 20724a4e-8f97-4f70-aa5d-9b4810e48100 · outbound

This paper cites Russell (2024): Identification of Dynamic Panel Logit Models with Fixed Effects,.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Russell (2024): Identification of Dynamic Panel Logit Models with Fixed Effects,

Reference 52

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Observation 227971d2-a5ef-406c-bce3-8370c6e61d87 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 53

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Observation 914d9f3a-8c87-49ee-8c3e-95f9108e4099 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 54

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source=arxiv_source observed=2026-08-06T16:27:17.738860Z digest=sha256:94d5c77bb8db5ddbdf7e15e24e39596880de68671690d38f0bd695ea392cf6f1

Observation cab071df-d447-4585-8679-a0b048f899f9 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 55

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Observation ebb7cb5b-8a15-4ae2-9465-df9e93bde4b8 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 56

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Observation d15cda8a-fa30-4e5c-8baa-508fcc0cacfd · outbound

This paper cites 375 of Mathematics and Its Applications, Dordrecht: Kluwer Academic Publishers.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models 375 of Mathematics and Its Applications, Dordrecht: Kluwer Academic Publishers

Reference 57

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Observation cff892a0-2ec5-4b61-8200-b248a8f95c51 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 58

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Observation e4f4aa92-1779-4142-affb-25efe6cb6268 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 59

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Observation 4f8b720a-47a0-441b-a6bd-eaa915b238cf · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 60

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Observation 0c623a62-e200-4ebc-8ca6-bdb075d8d7c6 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 61

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Observation e9d28f41-1236-4014-87a3-525cd4b2cea7 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-06T16:27:18.790197Z digest=sha256:b8c2b742629dfa021e121b45ca17bb98b73b51ca4e334e7eeb5536f78ed28ccc

Observation 13f89e0d-6371-4c3a-a894-92561abc7f75 · outbound

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Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 63

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Observation 81204e3b-8c82-479a-b777-70de03a53029 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 64

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Observation 1e6a5b5c-ce16-4dac-82f0-c3d9652e4954 · outbound

This paper cites rep., National Bureau of Economic Research.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models rep., National Bureau of Economic Research

Reference 65

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Observation 5f446f15-47be-4399-b22c-5949fa501d87 · outbound

This paper cites an unresolved cited work.

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Reference 66

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Observation d8ff2dd8-5487-4def-8d91-4647160538dd · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 67

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Observation 4dd8904d-cba2-4957-bf5e-68f9d572d235 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 68

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Observation 9f099970-52eb-4017-b3c1-916c35fd81da · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 69

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Observation ea6309b6-0c00-4f57-8111-d835f27ce4a0 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 70

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Observation d3e3f7e8-4d3a-481b-9c34-4c993614d4a6 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 71

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Observation 0e56571a-b879-4fef-ba30-ea9dceda509c · outbound

This paper cites rep., National Bureau of Economic Research.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models rep., National Bureau of Economic Research

Reference 72

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Observation ee868e44-3123-45c3-a0f9-ef414eaf321a · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 73

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Observation 3478293f-3ce0-4b79-8c1f-a63ebd5d47dd · outbound

This paper cites Irregular.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Irregular

Reference 74

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Observation 77afbee2-a441-4f52-b25f-53830bcf629f · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 75

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Observation 17b806f6-657c-48a3-9813-77af1fd24cc4 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 76

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Observation ecc8334a-c5eb-4e69-a407-c86549d99156 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 77

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 02c5857c-15ce-4398-88f5-9c8afaa55269 · outbound

This paper cites (2009): Teacher Deselection, Urban Institute Press, 47–74.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models (2009): Teacher Deselection, Urban Institute Press, 47–74

Reference 78

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Observation a1289ed3-eb8d-4767-82da-3c79dee4edc4 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 79

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.821261Z digest=sha256:4bf608273540140724daaf6e56549e20cd64d9f81f904589585a8e613f456a42

Observation 08fb43c4-d288-476f-a5d3-60a20f0e3699 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.128358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.825700Z digest=sha256:04d5cbb9dc25d406613650ebd2a8526bbf19225bccc5489cd7e9525ef1ec449b

Observation 08a91722-e0e6-4681-9e7c-145c34d15234 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.114907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.829835Z digest=sha256:9e8c8f4c162637b6067e325a4677721e114bd8c8e23d7183360d7cb6f69d21ae

Observation 82d15d54-5a7e-4e5e-a3df-300c8ff1b043 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.101307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.834055Z digest=sha256:48e605d88234ca17884330a38cb5d212d7fbba5e0fb18a0dcdba7aa25c998f69

Observation d5a90a28-837a-4cd0-8887-33a7a82bfd10 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.087916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.838990Z digest=sha256:12c36a154ed2d3c2beae712223206068ce0a0677a6f4b94e423544b07de597b1

Observation 0139376e-586b-463c-b11b-44580715f13c · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.074139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.843605Z digest=sha256:f2ccda4726051e4636c4668066434fbda8a210db312ec9caa412cb4615b3b09d

Observation ee875658-db05-48f1-8136-b057220ee6d9 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.060219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.847914Z digest=sha256:80f2405745c1fffa8ff90d10c84f9203d7bf4803a21ac65295875cd6f6d56e23

Observation 713aa1d1-691f-452f-a214-76525855acec · outbound

This paper cites and Martin Weidner (2023): Moment Conditions for Dynamic Panel Logit Models with Fixed Effects ,.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models and Martin Weidner (2023): Moment Conditions for Dynamic Panel Logit Models with Fixed Effects ,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:21.046477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.852590Z digest=sha256:ed7476f910805b399a21d69a86462a210714a651274e78999c32cd9da2414fe3

Observation d466df20-daee-463c-bdc4-92e5af0b1baf · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.032641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.856932Z digest=sha256:25eee0301021a68189b5abc8ee4c817772408352d21f72bb2b3d0716c12a1576

Observation 1e58ed57-2341-4467-a0be-7114325a0506 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.019131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.860907Z digest=sha256:0685c0dd134e7c20bd44f00b025789304ae3ce258c5033aec1ae5d1e2cb5b777

Observation 5c8df202-71c5-4429-b29e-aa0497e28484 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:21.005159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.864725Z digest=sha256:2d428ec68b207f6e323ddf506851f2fa81cd6eb991b9fd59f13b2045323603f9

Observation 434e8d47-dcc9-4e38-a46a-2519958560b7 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.991737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.869205Z digest=sha256:a91cea8012c2b1516ad42f811eadc02a46e7aae78ed7a76facd7db84cf1bb564

Observation e08c063f-450b-44fa-b044-25fe314d3c25 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 91

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.978377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.873737Z digest=sha256:54e084a3e2c13bdb33f17e413d36d925c3d75b1479457c825924510abe19bef8

Observation 9e3dc147-f785-4082-aac8-628be69344ac · outbound

This paper cites rep., National Bureau of Economic Research.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models rep., National Bureau of Economic Research

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.965079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.878113Z digest=sha256:90e1610d9bbc1c5bff8a792bfac7e93d40eff241fb04d8b4b9584815f937c2b7

Observation e94d4872-6286-4df8-a61e-a1a714be95aa · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.951119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.882933Z digest=sha256:c47f805840a1627ec1a56f6afb7404747f4ff34afe32c674521ec4abe6741f2c

Observation 0f24462d-55b0-422e-9052-916654a00914 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.937519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.886917Z digest=sha256:87ccd93dad4a6f814058514fdbca2d9cf75164c46bb9221cfed63212965c7aa9

Observation 5d974611-4c91-47f6-b4b7-fe1bef023676 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.923431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.890939Z digest=sha256:fcfdb56d1346cf4e36cf98317e4ede85d55373cb85f16e37528d137a758ab84b

Observation acfa1f4e-48b2-4969-a09c-91838268e989 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.909446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.894938Z digest=sha256:9386b720dfe43fe1f4cc65af6ba1c689f900782f4edccc1d06e28a64c4a28136

Observation a1205d74-96c0-4b73-b1d6-ef0b5f09d080 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:19.899575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:27:19.899575Z digest=sha256:85b621e19f03273abf84f5ff49c78c3fd272ddb446f24126cdb7e5d7d36e8800

Observation d3dc2515-b283-41dc-bb9f-7a7154feb420 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.895191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.903775Z digest=sha256:6f5e811dd79c6c94cb603c8ff1b48c388afea645b18a42b1a8d52c746c821bb1

Observation 6e00fd1c-42f4-41ac-a8c3-44d3574acd23 · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.880665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.908395Z digest=sha256:950e37477b892171700895157544c26df46378b4cf1b789557063b46a50e52a5

Observation c5f891a9-ab66-4baa-ad3b-9548e1506e42 · outbound

This paper cites and Harold R.

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models and Harold R

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.866701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T16:27:19.912450Z digest=sha256:74c28f2715a92a88354c5b1e5e4580677dc62388eb8ef03ee6367647c8739995

Pith citing papers

No inbound Pith citation observations are available.