Record Details

Replication Data for: Beyond the Unit Root Question: Uncertainty and Inference

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Beyond the Unit Root Question: Uncertainty and Inference
 
Identifier https://doi.org/10.7910/DVN/ZBRTJH
 
Creator Webb, Clayton
Linn, Suzanna
Lebo, Matthew J.
 
Publisher Harvard Dataverse
 
Description A fundamental challenge facing applied time series analysts is how to draw inferences about long-run relationships (LRR) when we are uncertain whether the data contain unit roots. Unit root tests are notoriously unreliable and often leave analysts uncertain but popular extant methods hinge on correct classification. Webb, Linn, and Lebo (2019) (WLL) develop a framework for inference based on critical value bounds for hypothesis tests on the long-run multiplier (LRM) that eschews unit root tests and incorporates the uncertainty inherent in identifying the dynamic properties of the data into inferences about LRRs. We show how the WLL bounds procedure can be applied to any fully specified regression model to solve this fundamental challenge, extend the results of WLL by presenting a general set of critical value bounds to be used in applied work, and demonstrate the empirical relevance of the LRM bounds procedure in two applications.
 
Subject Social Sciences
Time-series analysis
Unit root tests
Cointegration
Long-run relationships
Bounds tests
 
Contributor Webb, Clayton
 
Source Casillas, Christopher, Peter K. Enns and Patrick C. Wohlfarth. 2010. "How Public Opinion Con-
strains the U.S. Supreme Court.". URL: https://doi.org/10.7910/DVN/IXRSIP



Epstein, Lee and Jeffrey A. Segal. 2000. "Measuring Issue Salience." American Journal of Political
Science 44(1):66-83.



Epstein, Lee, Jeffrey A. Segal, Harold J. Spaeth and Thomas G. Walker. 2007. The Supreme Court
Compendium: Data, Decisions, and Developments. 4th ed. Washington D.C.: CQ Press.



Erikson, Robert S., Michael B. MacKuen and James A. Stimson. 2002. The Macro Polity. New
York: Cambridge University Press.



Kelly, Nathan J. 2005. "Political Choice, Public Policy, and Distributional Outcomes." American
Journal of Political Science 58(1):87-95.



Lebo, Matthew J. and Everett Young. 2009. "The Comparative Dynamics of Party Support in
Great Britain: Conservatives, Labour and the Liberal Democrats." Journal of Elections, Public
Opinion and Parties 19(1):73-103.



Martin, Andrew D. and Kevin M Quinn. 2002. "Dynamic Ideal Point Estimation via Markov Chain
Monte Carlo for the US Supreme Court, 1953{1999." Political Analysis 10(2):134-153.



Mayhew, David. 1991. Divided We Govern: Party Control, Lawmaking, and Investigations, 1946-
1990. New Haven: Yale University Press.



Ornstein, Norman J., Thomas E. Mann and Michael J. Malbin. 2008. Vital Statistics on Congress
2008. Washington D.C.: Brookings Institution Press.



Segal, Jeffrey A. and Albert D. Cover. 1989. "Ideological Values and the Votes of Supreme Court
Justices." American Political Science Review 83(2):557-565.



Segal, Jeffrey A., Lee Epstein, Charles M. Cameron and Harold J. Spaeth. 1995. "Ideological Values
and the Votes of US Supreme Court Justices Revisited." The Journal of Politics 57(3):812-823.



Spaeth, Harold J. 2006. "United States Supreme Court Judicial Database, 1953-2004 Terms."
URL: http://www.as.uky.edu/polisci/ulmerproject/sctdata.htm



Stimson, James A. 1999. Public Opinion in America: Moods, Cycles, and Swings. 2nd ed. Boulder,
CO: Westview Press.