Replication data for: Accuracy of vote expectation surveys in forecasting elections (doi:10.7910/DVN/VOTEEXPECTATIONSURVEYS)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication data for: Accuracy of vote expectation surveys in forecasting elections

Identification Number:

doi:10.7910/DVN/VOTEEXPECTATIONSURVEYS

Distributor:

Harvard Dataverse

Date of Distribution:

2014-06-16

Version:

1

Bibliographic Citation:

Graefe, Andreas, 2014, "Replication data for: Accuracy of vote expectation surveys in forecasting elections", https://doi.org/10.7910/DVN/VOTEEXPECTATIONSURVEYS, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication data for: Accuracy of vote expectation surveys in forecasting elections

Identification Number:

doi:10.7910/DVN/VOTEEXPECTATIONSURVEYS

Authoring Entity:

Graefe, Andreas

Date of Production:

2013

Distributor:

Harvard Dataverse

Distributor:

Harvard Dataverse Network

Date of Deposit:

2013-12-05

Date of Distribution:

2013

Holdings Information:

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

Study Scope

Abstract:

Simple surveys that ask people who they expect to win are among the most accurate methods for forecasting U.S. presidential elections. The majority of respondents correctly predicted the election winner in 193 (89%) of 217 surveys conducted from 1932 to 2012. Across the last 100 days prior to the seven elections from 1988 to 2012, vote expectation surveys provided more accurate forecasts of election winners and vote shares than four established methods (vote intention polls, prediction markets, econometric models, and expert judgment). Gains in accuracy were particularly large compared to polls. On average, the error of expectation-based vote-share forecasts was 51% lower than the error of polls published the same day. Compared to prediction markets, vote expectation forecasts reduced the error on average by 6%. Vote expectation surveys are inexpensive, easy to conduct, and the results are easy to understand. They provide accurate and stable forecasts and thus make it difficult to frame elections as horse races. Vote expectation surveys should be more strongly utilized in the coverage of election campaigns.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Graefe, Andreas. 2013. Accuracy of vote expectation surveys in forecasting elections, SSRN working paper, http://dx.doi.org/10.2139/ssrn.2158733.

Bibliographic Citation:

Graefe, Andreas. 2013. Accuracy of vote expectation surveys in forecasting elections, SSRN working paper, http://dx.doi.org/10.2139/ssrn.2158733.

Other Study-Related Materials

Label:

Vote_expecations.xlsx

Text:

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet