State Executive Approval Dataset (SEAD)

The State Executive Approval Dataset (SEAD) contains marginals from polls conducted on state-specific samples that measure the public's view of the governor. It contains data from Niemi et al's Job Approval Ratings (JAR) dataset and my own data collection efforts. It also contains a latent measure of governor approval generated using Stimson's dyad-ratio method, estimated quarterly and annually.

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Codebook V1.5.doc Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval) MS Word - 91.5 KB - MD5: 68dce6f04508828332fbc2fb88a016dd This updates the codebook for SEAD version 1
President approval data for SEAD v1.5.xlsx Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval) MS Excel Spreadsheet - 2.8 MB - MD5: 08f63a91ddf626bf94534c652f307f96 This contains the raw presidential approval marginals from both the JAR and my data collection.
README SEAD v1.5 (Presidents).txt Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval) Plain Text - 3.9 KB - MD5: 95ff82055ab9c90e61076d706b713482
SEAD President quarterly v1.5.tab Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval) Tabular Data - 1.9 MB - 63 Variables, 6462 Observations - UNF:6:Qqs4Zkjg2TOXXnNNoQQS/Q== This contains the latent estimates of presidential approval at the quarterly level used in Love, Carlin, and Singer (2024). See the README file.
Approval data for SEAD v1.tab Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 Tabular Data - 1.8 MB - 20 Variables, 10323 Observations - UNF:6:V1bYlO62DqGQlbgc75pYcg== A database of 10,000+ survey marginals of governor approval collected in state-level polls. Combines data from the Job Approval Rating (JAR) database and my own data collection efforts. Version 1 goes through the end of 2020. Data are in Stata format.
Approval data for SEAD v1.xlsx Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 MS Excel Spreadsheet - 2.9 MB - MD5: 7d532471f4b35b686b9e59f36fa5a632 A database of 10,000+ survey marginals of governor approval collected in state-level polls. Combines data from the Job Approval Rating (JAR) database and my own data collection efforts. Version 1 goes through the end of 2020. Data are in Excel format-see the readme file for a description of the tabs.
Codebook for SEAD governor quarterly or annual (latent series).pdf Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 Adobe PDF - 71.2 KB - MD5: 1ccc11ebad45fbb18c083276622ef7be A codebook describing the variables in the latent datasets (both quarterly and annual)
Codebook SEAD governors v1.pdf Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 Adobe PDF - 124.4 KB - MD5: 9105bf9d8c310b76e57c2360d4b54030 A codebook describing the survey marginals collected in "Approval data for SEAD v1". This also contains all the citation information for the dataset-please be sure to cite the original JAR dataset as well as this one if you use the data.
readme-sead data.txt Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 Plain Text - 4.7 KB - MD5: 64e1e4eb552b8fd3d04498af5c3181a4 Describes the files in this dataverse
revised Subnational Executive Approval.pdf Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1 Adobe PDF - 864.8 KB - MD5: 0504f51ca7bc152b6030cd5ae86e981f The version of the paper "Dynamics of Gubernatorial Approval: Evidence from a New Database" that describes the data and methods used to generate the latent measures of approval; this is the final preprint submitted to the journal.

Codebook V1.5.doc

Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval)

MS Word - 91.5 KB -

This updates the codebook for SEAD version 1

President approval data for SEAD v1.5.xlsx

Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval)

MS Excel Spreadsheet - 2.8 MB -

This contains the raw presidential approval marginals from both the JAR and my data collection.

README SEAD v1.5 (Presidents).txt

Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval)

Plain Text - 3.9 KB -

SEAD President quarterly v1.5.tab

Sep 13, 2024 - State Executive Approval Dataset (SEAD) version 1.5 (Presidential Approval)

Tabular Data - 1.9 MB - 63 Variables, 6462 Observations -

This contains the latent estimates of presidential approval at the quarterly level used in Love, Carlin, and Singer (2024). See the README file.

Approval data for SEAD v1.tab

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

Tabular Data - 1.8 MB - 20 Variables, 10323 Observations -

A database of 10,000+ survey marginals of governor approval collected in state-level polls. Combines data from the Job Approval Rating (JAR) database and my own data collection efforts. Version 1 goes through the end of 2020. Data are in Stata format.

Approval data for SEAD v1.xlsx

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

MS Excel Spreadsheet - 2.9 MB -

Codebook for SEAD governor quarterly or annual (latent series).pdf

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

Adobe PDF - 71.2 KB -

A codebook describing the variables in the latent datasets (both quarterly and annual)

Codebook SEAD governors v1.pdf

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

Adobe PDF - 124.4 KB -

A codebook describing the survey marginals collected in "Approval data for SEAD v1". This also contains all the citation information for the dataset-please be sure to cite the original JAR dataset as well as this one if you use the data.

readme-sead data.txt

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

Plain Text - 4.7 KB -

Describes the files in this dataverse

revised Subnational Executive Approval.pdf

Jan 31, 2023 - State Executive Approval Dataset (SEAD) version 1

Adobe PDF - 864.8 KB -

The version of the paper "Dynamics of Gubernatorial Approval: Evidence from a New Database" that describes the data and methods used to generate the latent measures of approval; this is the final preprint submitted to the journal.

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