What Can We Learn about the Effects of Democracy Using Cross-National Data
Bibliographic Data
| ID | 3228754 |
|---|---|
| Authors | Jonathan Stavnskær Doucette (0000-0002-4414-8264, Aalborg University, corresponding author) |
| Year | 2025 |
| Volume | 119 |
| Issue | 3 |
| Pages | 1549-1558 |
| Publication date | 2025-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Political Science Review (JOURNAL) |
| Journal identifiers | ISSN: 0003-0554 • E-ISSN: 1537-5943 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0003055424001278 |
| OpenAlex | W4405249356 |
| Language | EN |
| Citations received | 7 |
| References cited | 37 |
More than 1,100 studies have been published that examine the effects of democracy using cross-national data since 2000. This article examines whether these analyses have sufficient statistical power to detect an effect of democracy. Using Monte Carlo simulation and examining consensus effects previously reported in the literature, the article finds that studies are only powered to detect very strong effects of democracy when examining countries over time. This raises questions about what sort of relationships can be analyzed using cross-national data
Cross country · Democracy · Demographic economics · Econometrics · Economics · Information retrieval · Monte Carlo method · Physics · Political science · Politics · Positive economics · Power (physics · sort · Statistics · Computer Science · Corruption and Economic Development · Electoral Systems and Political Participation · Law · Local Government Finance and Decentralization · Mathematics
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| Unique citing works | 7 |
|---|---|
| Citations per year | 7 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |