English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Replication Data for: Challenging the Manifesto Project Data Monopoly

Gemenis, K., & Bruinsma, B. (2020). Replication Data for: Challenging the Manifesto Project Data Monopoly. Harvard Dataverse. doi:10.7910/DVN/VTF26G.

Item is

Basic

show hide
Genre: Data Publication

Files

show Files

Locators

show
hide
Locator:
https://doi.org/10.7910/DVN/VTF26G (Research data)
Description:
Dataset
OA-Status:
Locator:
http://hdl.handle.net/21.11116/0000-000A-A738-B (Supplementary material)
Description:
Related publication: Bruinsma, Bastiaan, & Gemenis, Kostas (2020). Challenging the Manifesto Project Data Monopoly: Estimating Parties’ Policy Position Time-Series Using Expert and Mass Survey Data. Academia.
OA-Status:

Creators

show
hide
 Creators:
Gemenis, Kostas1, Author           
Bruinsma, Bastiaan2, Author
Affiliations:
1Politische Ökonomie von Wachstumsmodellen, MPI for the Study of Societies, Max Planck Society, ou_2489691              
2Goethe-Universität Frankfurt am Main, Germany, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We propose a novel approach for generating time-series for party positions as an alternative to the estimates provided by the Manifesto Project. Our approach combines multiple expert surveys from different years, filling up the missing data using a multiple imputation algorithm that uses additional information from mass surveys. We illustrate this approach by estimating time-series for eight European countries for periods up to 50 years and show that our estimates are comparable, if not superior, in richness and face validity to those of the Manifesto Project. The data can be used to explore the robustness of empirical analyses using party position data and serve as valid benchmarks for computational text scaling and crowd-sourced manual coding of party manifestos.

Details

show
hide
Language(s): eng - English
 Dates: 2020-03-02
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7910/DVN/VTF26G
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Harvard Dataverse
Source Genre: Web Page
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -