7af85cac19
chore(data): Update zotero bibtex
2024-02-20 18:36:41 +01:00
2b0fa5db7c
feat(data): Extract remaining prelim study data
2024-02-17 19:06:27 +01:00
0e7e5e25b3
fix(data): Fix study date format
2024-02-14 15:49:06 +01:00
14878c571e
feat(data): Add previous Miguel study
...
Useful for ranking of validities
2024-02-13 16:12:46 +01:00
0c06bb012a
chore(date): Update zotero library
2024-02-09 16:53:22 +01:00
07e9061ddf
fix(data): Remove doubled bib key
2024-02-08 18:29:03 +01:00
98bf9b6d9e
feat(data): Add Bartha2020 on gendered care work
2024-02-08 18:16:01 +01:00
4897db01bc
feat(data): Add Go2010 study on wage subsidies
2024-02-08 16:56:03 +01:00
472e6a0dbc
feat(data): Add Li2022 workfare study
2024-02-08 15:29:19 +01:00
5b9bd1b1b0
feat(data): Add previous ALMP review studies
2024-01-30 14:44:02 +01:00
eaf8ffdcbc
feat(data): Extract Wang2020
2024-01-18 11:54:38 +01:00
1ad004695c
chore(data): Update zotero library
2024-01-17 18:04:58 +01:00
8db6e3c008
chore(data): Add sample keywords
...
Added keywords to signify where a study in the sample came from, with
`sample::snowballing` or `sample::database` showing the difference.
2024-01-11 17:52:53 +01:00
62e98c684e
feat(data): Screen 2004, 2017
2024-01-08 17:23:52 +01:00
57077e3373
chore(data): Update library
2024-01-06 15:29:30 +01:00
95ad5ed641
chore(data): Merge zotero library exports
...
To not double-commit every library change, we simply export ALL of
the zotero library into a single file in the 'intermediate' data
directory. Technically this still works just as well since it
still reflects our 'intermediate' stage of tagging, screening,
keywording the library contents. It just contains the non-sampled
contents as well now.
2024-01-06 09:52:08 +01:00
245b44885c
chore(data): Update libraries
2024-01-06 09:45:59 +01:00
39fd5f57dd
chore(data): Update bibtex libraries
2023-12-22 19:28:13 +01:00
cb0c20f835
feat(data): Extract 3 more preliminary studies
2023-12-22 11:20:40 +01:00
6aa9f1e947
fix(data): Fix journal capitalizations
2023-12-22 07:50:00 +01:00
1b8508a8b9
feat(data): Add preliminary extractions for collective action
2023-12-21 19:01:46 +01:00
b3a96a4a4f
chore(data): Sort out Elveren2013
2023-12-19 17:05:44 +01:00
a55a9921e3
feat(data): Extract Rendall2013
2023-12-19 15:29:54 +01:00
e3e2440553
feat(data): Extract Suh2017
2023-12-19 14:46:55 +01:00
d87ade83e0
fix(data): Remove class inequality
2023-12-18 15:37:16 +01:00
1ea9b86174
feat(data): Extract Poppen2017
2023-12-18 15:23:59 +01:00
ea338908d2
feat(data): Extract Wang2016
2023-12-18 14:52:32 +01:00
3eb989dbcf
feat(data): Extract Pi2016
2023-12-18 14:52:17 +01:00
5e2a8c6c3b
chore(data): Update library with PDF files
2023-12-18 11:10:50 +01:00
daee236eac
feat(data): Extract Mun2018
2023-12-14 19:08:25 +01:00
f51505a57c
chore(data): Sort out irrelevant study
2023-12-14 19:07:05 +01:00
73b96a757a
feat(data): Extract Militaru2019
2023-12-14 17:42:41 +01:00
b594233d01
feat(data): Extract Davies2022
2023-12-14 16:33:21 +01:00
2fc730812f
feat(data): Extract Khan2021
2023-12-13 21:14:31 +01:00
124e520835
chore(data): Sort out full-text studies
2023-12-13 20:48:28 +01:00
30b649f31f
chore(script): De-indent intervention headlines
...
Until we have thematic areas, de-indent the individual headlines for the time being.
2023-12-13 15:46:21 +01:00
c35b205345
chore(data): Update library and country separation
2023-12-13 14:40:16 +01:00
9789936712
feat(data): Extract Xu2021
2023-12-13 14:39:37 +01:00
6e4f19ac3f
!fix(data): Fix measures collected
...
Fixed the measures and directions collected to use Gini, Atkinson, .. measures or
absolute employment, poverty, etc.
2023-12-13 13:50:40 +01:00
7db335a479
feat(data): Extract Cieplinski2021
2023-12-12 20:08:02 +01:00
874e708112
chore(data): Sort out irrelevant study
2023-12-12 20:07:45 +01:00
85497854c1
feat(data): Extract Adams2015
2023-12-11 17:17:42 +01:00
6041d00d8b
chore(data): Categorize further studies for tags
...
Tag studies for income, gender, racial and ethnicity inequalities
based on title keywords.
2023-12-11 17:10:31 +01:00
6104f2d274
feat(data): Extract Rosen2014
2023-12-11 09:49:46 +01:00
ef06e4bb88
chore(data): Sort out Dumas2018
2023-12-10 19:29:47 +01:00
0e29a3332c
feat(data): Extract Emigh2018
2023-12-10 19:29:28 +01:00
50ce8b6310
feat(data): Extract Shepherd-Banigan2021
2023-12-10 17:59:17 +01:00
7258915ef1
feat(script): Extract Gates2000
2023-12-10 11:33:56 +01:00
efd6e285c8
feat(script): Extract Hardoy2015
2023-12-10 11:04:19 +01:00
b83f39ffc1
feat(data): Extract Wong2019
2023-12-09 18:48:59 +01:00