Replication Data for: Linking Policy Design and Policy Diffusion to Advance Both Theories: Evidence from the Elements, Attributes, and Adoptions of Uniform Law Commission Model Legislation (doi:10.7910/DVN/A9J3QM)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: Linking Policy Design and Policy Diffusion to Advance Both Theories: Evidence from the Elements, Attributes, and Adoptions of Uniform Law Commission Model Legislation

Identification Number:

doi:10.7910/DVN/A9J3QM

Distributor:

Harvard Dataverse

Date of Distribution:

2024-12-21

Version:

1

Bibliographic Citation:

Mallinson, Daniel; Jansa, Joshua, 2024, "Replication Data for: Linking Policy Design and Policy Diffusion to Advance Both Theories: Evidence from the Elements, Attributes, and Adoptions of Uniform Law Commission Model Legislation", https://doi.org/10.7910/DVN/A9J3QM, Harvard Dataverse, V1, UNF:6:Pu5p413DaR+ovCSLatWOpg== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Linking Policy Design and Policy Diffusion to Advance Both Theories: Evidence from the Elements, Attributes, and Adoptions of Uniform Law Commission Model Legislation

Identification Number:

doi:10.7910/DVN/A9J3QM

Authoring Entity:

Mallinson, Daniel (Penn State Harrisburg)

Jansa, Joshua (University of Oklahoma)

Distributor:

Harvard Dataverse

Access Authority:

Mallinson, Daniel

Depositor:

Mallinson, Daniel

Date of Deposit:

2024-12-14

Holdings Information:

https://doi.org/10.7910/DVN/A9J3QM

Study Scope

Keywords:

Social Sciences

Abstract:

Reproduction data and files for the published article.

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

File Description--f10794463

File: SPID_v1.2_policies.tab

  • Number of cases: 724

  • No. of variables per record: 8

  • Type of File: text/tab-separated-values

Notes:

UNF:6:Pu5p413DaR+ovCSLatWOpg==

Variable Description

List of Variables:

Variables

Policy Name

f10794463 Location:

Variable Format: character

Notes: UNF:6:jqxQTLuR+9YSgeZitO0YKA==

First Year Policy Adopted

f10794463 Location:

Summary Statistics: Mean 1971.738950276243; Min. 1691.0; Max. 2017.0; StDev 36.83463967446584; Valid 724.0

Variable Format: numeric

Notes: UNF:6:puQOzh2H7kbIcAB5WoDIFg==

Last Year Policy Adopted

f10794463 Location:

Summary Statistics: Mean 1993.4267955801106; Max. 2017.0; StDev 23.43913338734722; Min. 1860.0; Valid 724.0;

Variable Format: numeric

Notes: UNF:6:dIE3/yOIkexT3YDsyej6Mg==

Number of Adoptions

f10794463 Location:

Summary Statistics: Mean 24.61740331491713; StDev 15.936987812103714; Valid 724.0; Min. 1.0; Max. 50.0;

Variable Format: numeric

Notes: UNF:6:5xYUlNPUU8ZwKDjh/k9MTg==

Data Source

f10794463 Location:

Variable Format: character

Notes: UNF:6:wXIZoUoqa4MM3ilQ2gwuag==

Policy Description

f10794463 Location:

Variable Format: character

Notes: UNF:6:KmxRFsGomtGVdRRNQPQNTQ==

Policy Agendas Major Topic Code (numeric)

f10794463 Location:

Value

Label

Frequency

Text

5.

Labor

27

20.

Government Operations

30

24.

Local Government and Governance

0

23.

Culture

0

21.

Public Lands

7

6.

Education

57

18.

Foreign Trade

2

14.

Housing

24

3.

Health

69

8.

Energy

17

10.

Transportation

41

4.

Agriculture

4

19.

International Affairs

2

13.

Social Welfare

14

16.

Defense

3

1.

Macroeconomics

21

12.

Law and Crime

194

2.

Civil Rights

111

17.

Technology

2

15.

Domestic Commerce

81

9.

Immigration

2

7.

Environment

16

Summary Statistics: Mean 9.092541436464087; StDev 5.413573397919037; Valid 724.0; Min. 1.0; Max. 21.0

Variable Format: numeric

Notes: UNF:6:AHno71OVEjeDDKKkeR8vJw==

Policy Agendas Major Topic Code (string)

f10794463 Location:

Variable Format: character

Notes: UNF:6:FUN6dAtWBILP3DbjkQmQ2A==

Other Study-Related Materials

Label:

jansa_mallinson_design_complex_diffusion.R

Text:

An R script for executing analyses and generating all figures presented in the manuscript and online appendix. Analyses were conducted using RStudio 2022.12.0+353 with base R 4.2.2. Researchers will need to install several packages to complete analysis. There are commands to do so in the script.

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

ReadMe.docx

Text:

Description of the files in this dataverse.

Notes:

application/vnd.openxmlformats-officedocument.wordprocessingml.document

Other Study-Related Materials

Label:

ULC_adoption.xlsx

Text:

An Excel spreadsheet with policy adoption data for ULC model policies. It includes years of adoption, number of adoptions, and policy topics.

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

ULC_design.xlsx

Text:

An Excel spreadsheet with design coding data. Coded by authors.

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

ULC_design_subelements_matrix.xlsx

Text:

An Excel spreadsheet with design coding data arrayed in a manner needed to create Figure 3.

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

ULC_weibull.xlsx

Text:

An Excel spreadsheet with policy cascade data for estimating speed scores using Weibull models.

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet