Yale Economic Growth Center Dataverse

Yale Economic Growth Center

This Yale EGC Dataverse hosts micro-economic datasets produced by the Economic Growth Center (EGC) at Yale University and its research affiliates, often in collaboration with research partners. Please email egc@yale.edu with any questions.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

341 to 350 of 363 Results

1.04 Round 3 Survey Instrument Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study MS Word - 42.4 KB - MD5: 66e1284d37d5f91eb5950fbf5681c450 Survey Instrument
1.05 Round 4 Survey Instrument Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study MS Word - 49.8 KB - MD5: 7e54508b25250bbc2d4f38306496f27b Survey Instrument
2.01 Migrants Panel Data.tab Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study Tabular Data - 18.9 MB - 652 Variables, 19670 Observations - UNF:6:ojDeJFCM5qDRIX7DtcRdmw== Data
Increasing Women’s Engagement with Mobile Technology Dec 14, 2023 Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Increasing Women’s Engagement with Mobile Technology", https://doi.org/10.60600/YU/TT4HUB, Yale Dataverse, V2, UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== [fileUNF] This dataset comes from the final follow-up survey that was conducted as part of a study that aims to understand the sources of India’s digital gender gap and identify potential solutions. *** Note for users *** 1. There are a total of 5 files that are relevant to this dataset. Please download the full packet (data and documentation) for the be...
1.1 follow_up.tab Dec 14, 2023 - Increasing Women’s Engagement with Mobile Technology Tabular Data - 3.1 MB - 247 Variables, 6682 Observations - UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== Data
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Dec 14, 2023 Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?", https://doi.org/10.60600/YU/ZGKZJA, Yale Dataverse, V2, UNF:6:jf5bZ1GmGu64pcv61eYsCw== [fileUNF] This data was collected with support from J-PAL's Cash Transfers for Child Health (CaTCH) initiative with the aim to understand if mobile phones can improve women's awareness and take-up of maternity benefits. The data collected also is part of a larger study focused on understanding constraints to women's mobile phone use and how to close India’s...
1.1 wave1.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 767.9 KB - 184 Variables, 3483 Observations - UNF:6:BpukhFyy326AMSOj8IYPog== Datawave1 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].
1.2 wave2.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 952.9 KB - 72 Variables, 3435 Observations - UNF:6:xYeHvLIV7x+GrADnJyNCmQ== Datawave2 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].
1.3 wave3.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 849.0 KB - 102 Variables, 3389 Observations - UNF:6:kerY5ZqHDAC2GS3t+5c70w== Datawave3 This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].
1.4 follow_up_cct.tab Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits? Tabular Data - 210.2 KB - 22 Variables, 3503 Observations - UNF:6:6JP6VH5i9qExIHk5BKMmCA== Datafollowup This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].

1.04 Round 3 Survey Instrument

Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study

MS Word - 42.4 KB -

Survey Instrument

1.05 Round 4 Survey Instrument

Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study

MS Word - 49.8 KB -

Survey Instrument

2.01 Migrants Panel Data.tab

Apr 25, 2024 - Indian female migrants face greater barriers to post−Covid recovery than males: evidence from a panel study

Tabular Data - 18.9 MB - 652 Variables, 19670 Observations -

Data

Increasing Women’s Engagement with Mobile Technology

Dec 14, 2023

Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Increasing Women’s Engagement with Mobile Technology", https://doi.org/10.60600/YU/TT4HUB, Yale Dataverse, V2, UNF:6:Xy6n+D0OOMJsaNk3Zgvx4Q== [fileUNF]

This dataset comes from the final follow-up survey that was conducted as part of a study that aims to understand the sources of India’s digital gender gap and identify potential solutions. ***** Note for users ***** 1. There are a total of 5 files that are relevant to this dataset. Please download the full packet (data and documentation) for the be...

1.1 follow_up.tab

Dec 14, 2023 - Increasing Women’s Engagement with Mobile Technology

Tabular Data - 3.1 MB - 247 Variables, 6682 Observations -

Data

Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Dec 14, 2023

Barboni, Giorgia; Field, Erica; Pande, Rohini; Rigol, Natalia; Schaner, Simone; Troyer Moore, Charity, 2023, "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?", https://doi.org/10.60600/YU/ZGKZJA, Yale Dataverse, V2, UNF:6:jf5bZ1GmGu64pcv61eYsCw== [fileUNF]

This data was collected with support from J-PAL's Cash Transfers for Child Health (CaTCH) initiative with the aim to understand if mobile phones can improve women's awareness and take-up of maternity benefits. The data collected also is part of a larger study focused on understanding constraints to women's mobile phone use and how to close India’s...

1.1 wave1.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 767.9 KB - 184 Variables, 3483 Observations -

Datawave1

This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP].

1.2 wave2.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 952.9 KB - 72 Variables, 3435 Observations -

Datawave2

1.3 wave3.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 849.0 KB - 102 Variables, 3389 Observations -

Datawave3

1.4 follow_up_cct.tab

Dec 14, 2023 - Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?

Tabular Data - 210.2 KB - 22 Variables, 3503 Observations -

Datafollowup

Add Data

Share Dataverse

Link Dataverse

Reset Modifications