Introduction to symposium on time series error correction methods in political science

Political Analysis

Volumn 24, Issue 1, 2016, Pages 1-2

  Box Steffensmeier, Janet ^a   Helgason, Agnar Freyr ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF ICELAND   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84963632341     PISSN: 10471987     EISSN: 14764989     Source Type: Journal    
DOI: 10.1093/pan/mpv033     Document Type: Article

References (11)

1. Box-Steffensmeier, Janet M., John Freeman, Matthew Hitt, and Jon Pevehouse. 2014. Time Series Analysis for the Social Sciences. New York: Cambridge University Press.
2. De Boef, Suzanna, and Luke Keele. 2008. Taking time seriously. American Journal of Political Science 52(1):184-200.
3. Durr, Robert H. 1992. An essay on cointegration and error correction models. Political Analysis 4:185-227.
4. Esarey, Justin. 2016. Fractionally integrated data and the autodistributed lag model: Results from a simulation study. Political Analysis 24:42-49.
5. Freeman, John. 2016. Progress in the study of nonstationary political time series? Political Analysis 24:50-58.
6. Grant, Taylor, and Matthew J. Lebo. 2016. Error correction methods with political time series. Political Analysis 24:3-30.
7. Helgason, Agnar Freyr. 2016. Fractional integration methods and short time series: Evidence from a simulation study. Political Analysis 24:59-68.
8. Keele, Luke, Suzanna Linn, and Clayton Webb. 2016a. Taking time with all due seriousness. Political Analysis 24:31-41.
9. Keele, Luke, Suzanna Linn, and Clayton Webb. 2016b. Concluding comments. Political Analysis 24:83-86.
10. Lebo, Matthew J., and Taylor Grant. 2016. Equation balance and dynamic political modeling. Political Analysis 24:69-82.
11. Ostrom, Charles W., and Renee M. Smith. 1992. Error correction, attitude persistence, and executive rewards and punishments: A behavioral theory of presidential approval. Political Analysis 4:127-83.