Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies | Paper Citation Record

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This paper cites \ Cattaneo, M D.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Cattaneo, M D

Reference 1

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Observation 774a8570-5bba-49b4-8a01-ab952b339cb6 · outbound

This paper cites \ Wager, S.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Wager, S

Reference 2

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This paper cites , Schacht, O.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Schacht, O

Reference 3

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This paper cites \ Robins, J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Robins, J

Reference 4

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This paper cites , Huber, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Huber, M

Reference 5

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This paper cites an unresolved cited work.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Unresolved cited work

Reference 6

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This paper cites , Mahlstedt, R.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Mahlstedt, R

Reference 7

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This paper cites , Kluve, J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Kluve, J

Reference 8

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This paper cites , Kluve, J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Kluve, J

Reference 9

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This paper cites , Chetverikov, D.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Chetverikov, D

Reference 10

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This paper cites Applied Causal Inference Powered by ML and AI.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Applied Causal Inference Powered by ML and AI

Reference 11

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This paper cites Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals

Reference 12

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This paper cites , Newey, W K.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Newey, W K

Reference 13

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This paper cites , Newey, W K.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Newey, W K

Reference 14

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This paper cites , Lechner, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Lechner, M

Reference 15

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This paper cites , Ferracci, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Ferracci, M

Reference 16

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This paper cites \ Van Den Berg, G J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Van Den Berg, G J

Reference 17

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This paper cites APACrefauthors \ 2015.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2015

Reference 18

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This paper cites APACrefauthors \ 2019.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2019

Reference 19

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This paper cites , Brumback, B.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Brumback, B

Reference 20

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This paper cites \ Robins, J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Robins, J

Reference 21

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This paper cites \ Thompson, D J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Thompson, D J

Reference 22

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This paper cites APACrefauthors \ 2000.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2000

Reference 23

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This paper cites \ Rubin, D B.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Rubin, D B

Reference 24

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This paper cites \ Van der Klaauw, B.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Van der Klaauw, B

Reference 25

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This paper cites APACrefauthors \ 2024.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:02.465224Z

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This paper cites \ Tamer, E.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Tamer, E

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:02.270719Z

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This paper cites APACrefauthors \ 2022.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:02.108494Z

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This paper cites , Lechner, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Lechner, M

Reference 29

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This paper cites \ S tef \'a nik, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ S tef \'a nik, M

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:01.657989Z

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This paper cites APACrefauthors \ 2001.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2001

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:01.473818Z

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This paper cites APACrefauthors \ 2009.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2009

Reference 32

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This paper cites Comprehensive Causal Machine Learning.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Comprehensive Causal Machine Learning

Reference 33

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This paper cites \ Miquel, R.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Miquel, R

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:01.148486Z

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This paper cites \ Miquel, R.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Miquel, R

Reference 35

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Observation ac361aef-d2d0-476f-a500-ed5bd2cb61bb · outbound

This paper cites \ Strittmatter, A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Strittmatter, A

Reference 36

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Observation 8ec0515b-cd3f-4a41-bd1f-1a10ec4d54bb · outbound

This paper cites \ Wiehler, S.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Wiehler, S

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:00.487887Z

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This paper cites \ Wunsch, C.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Wunsch, C

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:00.325059Z

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Observation c2602414-c208-45f3-bc90-091242e0dabd · outbound

This paper cites \ Syrgkanis, V.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Syrgkanis, V

Reference 39

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Observation 519ed107-8b12-48fd-88b9-810b3296bb59 · outbound

This paper cites From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies From Average Effects to Targeted Assignment: A Causal Machine Learning Analysis of Swiss Active Labor Market Policies

Reference 40

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This paper cites Nested Nonparametric Instrumental Variable Regression.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Nested Nonparametric Instrumental Variable Regression

Reference 41

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Observation a1bbce11-d10a-41d5-8812-1b985a5c473d · outbound

This paper cites APACrefauthors \ 2003.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2003

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:59.719598Z

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Observation 161320c9-3b34-4c09-ae03-bc6cc3bebb9c · outbound

This paper cites , Brunskill, E.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Brunskill, E

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:59.509943Z

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Observation 347d80de-fa94-480c-9907-98035387b445 · outbound

This paper cites APACrefauthors \ 1995.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 1995

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:59.310129Z

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Observation 2beb3209-b70c-4dd7-9624-69af248ace3b · outbound

This paper cites , Varoquaux, G.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Varoquaux, G

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:59.096171Z

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Observation 375b8be1-b0ca-4f9e-9c66-19289f05bda1 · outbound

This paper cites \ Rotnitzky, A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Rotnitzky, A

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.892884Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42479965-887e-4250-b045-7fd3167f25c5 · outbound

This paper cites APACrefauthors \ 1986.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 1986

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.739619Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42db0374-36b1-4786-b853-2a0f4d4171ef · outbound

This paper cites A new approach to causal inference in mortality studies with sustained exposure periods—application to control of the healthy worker survivor effect.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies A new approach to causal inference in mortality studies with sustained exposure periods—application to control of the healthy worker survivor effect

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.598895Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c27590bc-634b-4630-aff8-d12fc7fee54f · outbound

This paper cites APACrefauthors \ 1989.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 1989

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.476125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c603cb05-cbb7-4099-a74e-4e4ecada2d65 · outbound

This paper cites APACrefauthors \ 1994.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 1994

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.325739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40e6bf94-74c2-4eea-a075-1a6b7e54858c · outbound

This paper cites APACrefauthors \ 2000.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2000

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:58.190192Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b71865ce-e2ff-4598-a190-31fdb7881fa9 · outbound

This paper cites \ Hern \'a n, M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Hern \'a n, M

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:57.999832Z

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Observation 32f85b62-e199-43c5-9fc8-049ad01bfc15 · outbound

This paper cites , Hernan, M A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Hernan, M A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:57.803211Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78975e89-fa3a-43f0-9204-6547a5856b30 · outbound

This paper cites , Rotnitzky, A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Rotnitzky, A

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:57.604140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 754f827c-9110-4642-a037-0c9f5e5c35df · outbound

This paper cites \ Rubin, D B.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Rubin, D B

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:57.441936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5183b6d0-9eca-4e8f-85c4-9b1394b71c4c · outbound

This paper cites APACrefauthors \ 1974.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 1974

Reference 56

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Source-reported events for the cited work

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Observation 20ec11a7-47df-472e-a543-a2edb97804b4 · outbound

This paper cites Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22468d49-480b-4b54-bdf5-90ca082ebc20 · outbound

This paper cites , Rotnitzky, A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Rotnitzky, A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:57.108399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05f892d0-545e-4f43-b21c-d6b719b7ab28 · outbound

This paper cites APACrefauthors \ 2004.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2004

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:56.920911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 684ae724-ffcb-4e3d-86d7-0b9a7e264a2b · outbound

This paper cites , Robins, J M.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Robins, J M

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:56.744767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58ebba59-ddfc-4cd1-b649-02c36108dce2 · outbound

This paper cites , Yiannoutsos, C.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Yiannoutsos, C

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:56.470102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6e8c6c6-642b-4c4f-8901-d611250bde38 · outbound

This paper cites \ Vikstr \"o m, J.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Vikstr \"o m, J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:56.203592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 075aedf3-0e0c-48dd-89ab-d53180df84b3 · outbound

This paper cites \ Gruber, S.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Gruber, S

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:55.926987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 344fdb3e-8d28-4a12-a02f-a4129133ee2e · outbound

This paper cites \ Rubin, D.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Rubin, D

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:55.604816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 506a617c-9bb3-4545-aabf-a86fdf83f61f · outbound

This paper cites APACrefauthors \ 2017.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2017

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:55.240601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 117b43d4-62bf-4aa9-adac-c8fdb492370d · outbound

This paper cites , Haelermans, C.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Haelermans, C

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:54.804202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0bd4ef16-9e5f-42c2-b848-d7c0701d19eb · outbound

This paper cites APACrefauthors \ 2024.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies APACrefauthors \ 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:54.440210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3fba1dc-5c18-417f-893d-ca8d6d656cba · outbound

This paper cites an unresolved cited work.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T01:08:54.135500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8795265b-f42f-4ed1-9506-e44fe4921aed · outbound

This paper cites \ Dalton, J E.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies \ Dalton, J E

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:53.775406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2662bb1-ba7b-4976-8e80-620ef750ce39 · outbound

This paper cites , Cain, L E.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Cain, L E

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:53.471827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 494f2152-b514-4113-9631-f7a6350fcc81 · outbound

This paper cites , Tsiatis, A A.

Evaluating Program Sequences with Double Machine Learning: An Application to Labor Market Policies , Tsiatis, A A

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:08:53.183864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers