2012
DOI: 10.2139/ssrn.2021757
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Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 32 publications
(42 citation statements)
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“…For instance, Lanne and Lütkepohl () test competing theoretical assumptions to identify monetary policy shocks against the data. Lütkepohl and Netsunajev () model changes in volatility by means of a Markov switching mechanism, and test sign restrictions in a model of the crude oil market.…”
mentioning
confidence: 99%
“…For instance, Lanne and Lütkepohl () test competing theoretical assumptions to identify monetary policy shocks against the data. Lütkepohl and Netsunajev () model changes in volatility by means of a Markov switching mechanism, and test sign restrictions in a model of the crude oil market.…”
mentioning
confidence: 99%
“…The latter is in line with standard economic intuition, but not with the results in Kilian (), where its effect on real activity was found positive. These data were recently also analysed by Lütkepohl and Netšunajev (), who informally labelled the three shocks by making use of sign restrictions in the Markov‐switching VAR model of Lanne, Lütkepohl and Maciejowska (). However, while their results did not clearly object the sign restrictions, the shocks did not seem very strongly identified.…”
Section: Empirical Illustrationsmentioning
confidence: 99%
“…To that end, sign constraints have been used in the previous statistical identification literature (see, e.g. Herwartz and Lütkepohl, ; Lütkepohl and Netšunajev, ; Lanne et al ., ). The idea of this approach is to visually check whether the impulse responses implied by the uniquely identified SVAR model satisfy the constraints.…”
Section: Introductionmentioning
confidence: 99%
“…They argue that their findings are consistent with hysteresis models of unemployment. 8 See Psaradakis and Spagnolo (2003), Psaradakis and Spagnolo (2006), Herwartz and Lütkepohl (2011) and Lütkepohl and Netšunajev (2014) for the selection of the number of regimes. The tests for the number of regimes for each of the variables are not reported for the sake of brevity.…”
Section: Unit Root Testsmentioning
confidence: 99%
“…In order to determine the optimal number of regimes, we use the AIC, HQC and SC as discussed in Psaradakis and Spagnolo (2003), Psaradakis and Spagnolo (2006), Herwartz and Lütkepohl (2011) and Lütkepohl and Netšunajev (2014). The results are reported in Table 6 of Appendix.…”
Section: The Ms-svar Modelmentioning
confidence: 99%