The "timeline" method of studying electoral dynamics
Bibliographic Data
| ID | 4171329 |
|---|---|
| Authors | Christopher Wlezien (0000-0002-0719-697X, The University of Texas at Austin, corresponding author), Will Jennings (0000-0001-9007-8896, University of Southampton), Robert S Erikson (0000-0003-1693-4839, Columbia University) |
| Year | 2017 |
| Volume | 48 |
| Pages | 45-56 |
| Publication date | 2017-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Electoral Studies (JOURNAL) |
| Journal identifiers | ISSN: 0261-3794 • E-ISSN: 1873-6890 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.electstud.2017.03.003 |
| OpenAlex | W2605589255 |
| Language | EN |
| Citations received | 4 |
| References cited | 17 |
Dynamics (music · Econometrics · Economics · General election · Political science · Set (abstract data type · Sociology · Statistics · Timeline · Computer Science · Electoral Systems and Political Participation · Law · Mathematics · Media Influence and Politics · Sports Analytics and Performance
A stochastic differential equation approach to the analysis of the 2017 and 2019 UK general election polls
Institutions, parties and the evolution of electoral preferences
Presidential Debates and Electoral Preferences in Weakly Institutionalised Democracies
Election polling errors across time and space
Multiple Imputation for Nonresponse in Surveys
The Timeline of Presidential Elections
The Timeline of Presidential Election Campaigns
Polls and the Vote in Britain
How Multiple Imputation Makes a Difference
German Election Forecasting
What to Do about Missing Values in Time‐Series Cross‐Section Data
The Timeline of Elections
US Presidential Election Forecasting
Analyzing Incomplete Political Science Data
Campaign trial heats as electoral information
Prediction Markets
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2018 - 2023 (6) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |