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
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Identifier |
https://doi.org/10.7910/DVN/ZBRTJH
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Creator |
Webb, Clayton
Linn, Suzanna Lebo, Matthew J. |
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Publisher |
Harvard Dataverse
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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.
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Subject |
Social Sciences
Time-series analysis Unit root tests Cointegration Long-run relationships Bounds tests |
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Contributor |
Webb, Clayton
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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. |
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