V-Party Dataset

Data source: Varieties of Democracy (V-Dem) Project

Description:

V-Party provides expert-coded assessments of party organization and identity for most parties in most countries over 1970-2019. Using V-Dem methodology (Coppedge et al., 2020), in January 2020, 665 experts rated the policy positions and organizational capacity of political parties across elections in a given country. Specifically, as a general rule, experts coded data for all parties that reached more than 5% of the vote share at a given election. The expert-coded data are aggregated using V-Dem’s Bayesian Item Response Theory measurement model (Pemstein et al., 2020). The result is data on 1,955 political parties across 1,560 elections in 169 countries; in total 6,330 party-election year units. Typically, at least 4 coders provided their assessment per observation.

Last updated by source: 2020-10-01

Dataset type:	Time-Series
Dataset level:	Country

Citation:

When using this dataset, please cite as:

• Lührmann, A., Düpont, N., Higashijima, M., Kavasoglu, Y. B., Marquardt, K. L., Bernhard, M., Döring, H., Hicken, A., Laebens, M., Lindberg, S. I., Medzihorsky, J., Neundorf, A., Reuter, O. J., Ruth-Lovell, S., Weghorst, K. R., Wiesehomeier, N., Wright, J., Alizada, N., Bederke, P., Gastaldi, L., Grahn, S., Hindle, G., Ilchenko, N., Römer, J. von, Wilson, S., Pemstein, D., & Seim, B. (2020). Varieties of party identity and organization (v-party) dataset V1. Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vpartydsv1

• Pemstein, D., Marquardt, K. L., Tzelgov, E., Wang, Y., Medzihorsky, J., Krusell, J., Miri, F., & Römer, J. von. (2020). The V-Dem measurement model: Latent variable analysis for cross-national and cross-temporal expert-coded data. University of Gothenburg, Varieties of Democracy Institute: Working Paper No. 21, 5th edition.

    @misc{vparty1,
 author = {Lührmann, Anna and Nils Düpont and Masaaki Higashijima and Yaman Berker Kavasoglu and Kyle L. Marquardt and Michael Bernhard and Holger Döring and Allen Hicken and Melis Laebens and Staffan I. Lindberg and Juraj Medzihorsky and Anja Neundorf and Ora John Reuter and Saskia Ruth-Lovell and Keith R. Weghorst and Nina Wiesehomeier and Joseph Wright and Nazifa Alizada and Paul Bederke and Lisa Gastaldi and Sandra Grahn and Garry Hindle and Nina Ilchenko and Johannes von Römer and Steven Wilson and Daniel Pemstein and Brigitte Seim},
 doi = {10.23696/vpartydsv1},
 note = {Date accessed: 22 February 2021},
 publisher = {Varieties of Democracy (V-Dem) Project},
 title = {Varieties of Party Identity and Organization (V-Party) Dataset V1},
 year = {2020}
}

@misc{vparty2,
 author = {Daniel Pemstein and Kyle L. Marquardt and Eitan Tzelgov and Yi-ting Wang and Juraj Medzihorsky and Joshua Krusell and Farhad Miri and Johannes von Römer},
 publisher = {University of Gothenburg, Varieties of Democracy Institute: Working Paper No. 21, 5th edition},
 title = {The {V-Dem} Measurement Model: Latent Variable Analysis for Cross-National and Cross-Temporal Expert-Coded Data},
 year = {2020}
}

Variables in this dataset:

Environmental parties: share of seats

QoG Code: vparty_envseat

The variable measures the share of seats in the lower chamber taken by the parties, for which environmental protection is relevant to gain and keep voters, as agreed on by at least half of the coders in the V-Party dataset. The original variable from V-Party dataset - v2pasalie - measures the share of coders who answered "12: Environmental protection" to the multiple-choice question "Which of the following issues are most relevant for the party's effort to gain and keep voters?". We only keep parties that score 0.5 or higher on variable v2pasalie_12 and then calculate their share of seats in a given country-year using v2paseatshare variable - Seat share the party gained in the election to the lower chamber.

More about this variable

Environmental parties: share of votes

QoG Code: vparty_envvote

The variable measures the share of votes to the lower chamber received by the parties, for which environmental protection is relevant to gain and keep voters, as agreed on by at least half of the coders in the V-Party dataset. The original variable from V-Party dataset - v2pasalie - reports the share of coders who answered "12: Environmental protection" to the multiple-choice question "Which of the following issues are most relevant for the party's effort to gain and keep voters?". We only keep parties that score 0.5 or higher on variable v2pasalie_12 and then calculate their share of votes in a given country-year using v2pavote variable - Vote share the party gained in the election to the lower chamber.

More about this variable