Replication Data for: Balance as a Pre-Estimation Test for Time Series Analysis
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Balance as a Pre-Estimation Test for Time Series Analysis
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Identifier |
https://doi.org/10.7910/DVN/G0XXSE
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Creator |
Pickup, Mark
Kellstedt, Paul |
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Publisher |
Harvard Dataverse
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Description |
It is understood that ensuring equation balance is a necessary condition for a valid model of times series data. Yet, the definition of balance provided so far has been incomplete and there has not been a consistent understanding of exactly why balance is important or how it can be applied. The discussion to date has focused on the estimates produced by the GECM. In this paper, we go beyond the GECM and be- yond model estimates. We treat equation balance as a theoretical matter, not merely an empirical one, and describe how to use the concept of balance to test theoretical propositions before longitudinal data have been gathered. We explain how equation balance can be used to check if your theoretical or empirical model is either wrong or incomplete in a way that will prevent a meaningful interpretation of the model. We also raise the issue of “I(0) balance” and its importance. The replication dataset includes the Stata .do file and .dta file to replicate the analysis in section 4.1 of the Supplementary Information. |
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Subject |
Social Sciences
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Contributor |
Pickup, Mark
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