Handbook of Research Methods and Applications in Empirical Macroeconomics 2013
DOI: 10.4337/9780857931023.00009
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Unit roots, non-linearities and structural breaks

Abstract: One of the most in ‡uential research …elds in econometrics over the past decades concerns unit root testing in economic time series. In macroeconomics much of the interest in the area originate from the fact that when unit roots are present, then shocks to the time series processes have a persistent e¤ect with resulting policy implications. From a statistical perspective on the other hand, the presence of unit roots has dramatic implications for econometric model building, estimation, and inference in order to… Show more

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Cited by 8 publications
(6 citation statements)
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References 96 publications
(169 reference statements)
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“…Structural changes in the economic system are one of the key research interests of evolutionary economics, which has a firm empirical basis [ 50 , 51 ]. In many occasions, we may reasonably ask whether a trend changes in every period or whether it changes only occasionally [ 52 ]. Hence, identifying the structure of an agrarian economy in the past can help us understand the economic fluctuations during the study period.…”
Section: Discussionmentioning
confidence: 99%
“…Structural changes in the economic system are one of the key research interests of evolutionary economics, which has a firm empirical basis [ 50 , 51 ]. In many occasions, we may reasonably ask whether a trend changes in every period or whether it changes only occasionally [ 52 ]. Hence, identifying the structure of an agrarian economy in the past can help us understand the economic fluctuations during the study period.…”
Section: Discussionmentioning
confidence: 99%
“…L is the lag operator. As mentioned by Haldrup et al (2012), it is important to note that the role of deterministic component is different in the levels and the first differences representations. For instance, if α = 1, the constant term would equal to β whereas the slope would be 0.…”
Section: Methodsmentioning
confidence: 99%
“…This said, certainty about the existence of trends is often impossible (Heckman, 1991;Stock & Watson, 1999). Although de-trending data is often recommended (e.g., Curran & Bauer, 2011;Curran, Lee, Howard, Lane, & MacCallum, 2012;Hoffman & Stawski, 2009), there is no single way to do this, and tests for trends are often ambiguous (Davidson, 2013;Haldrup, Kruse, Teräsvirta, & Verneskov, 2013). The fact is that the evolution of any system involves mixtures of multiple processes, leading some to say that "no one really understands trends, even though most of us see trends [in] data" (Phillips, 2003, p. C35;Heckman, 1991).…”
Section: Threats To Causal Inference: Trends and Regime Changesmentioning
confidence: 99%