Problems and Methods in the Study of Politics: The illusion of learning from observational research
By A. Gerber, Donald P. Green, Edward H. Kaplan. 2004
92 citations recorded by the source corpus.
Subfields: Safety Research, Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f40280fa190da626a67cab4ef56ce89a637dcf17
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Kosuke Imai
- Donald P. Green
- A. Gerber
- C. Larimer
- P. M. Aronow
- Christopher B. Mann
- James H. Fowler
- Maria Abascal
In Sociology and Political Science
In Statistics and Probability
Citations in the corpus
- Field Experiments and the Study of Voter Turnout (2013, background): “Even if statistical controls were adequate to eliminate bias, uncertainty about whether a statistical analysis is unbiased is sufficient to undercut the credibility of the findings (Gerber et al., 2004).”
- Testing the Accuracy of Regression Discontinuity Analysis Using Experimental Benchmarks (2009, background): “As Gerber, Green, and Kaplan (2004) argue, however, observational approaches such as RD analysis generate estimates whose mean squared error is a function of both sampling variability and specification uncertainty.”
- Do Get-Out-the-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments (2005, background): “For example, in order to measure the causal effect of British colonial rule on the postcolonial economic development of India, one must estimate the economic growth of India if it had not been ruled by the British empire.”