2016
DOI: 10.4337/ejeep.2016.01.09
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On the long-run equilibrium value of Tobin's average Q

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 2 publications
(3 citation statements)
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“…The approach used in this section was introduced in the working paper by Franke and Ghonghadze (2014). Here we derive a more general case in which the firms can finance investment by issuing equity or debt (see Franke and Yanovski (2015)). The financing decisions are assumed not to be firm-specific.…”
Section: Tobin's Qmentioning
confidence: 99%
See 1 more Smart Citation
“…The approach used in this section was introduced in the working paper by Franke and Ghonghadze (2014). Here we derive a more general case in which the firms can finance investment by issuing equity or debt (see Franke and Yanovski (2015)). The financing decisions are assumed not to be firm-specific.…”
Section: Tobin's Qmentioning
confidence: 99%
“…For a discussion on the fundamental value of Tobin's Q for ξ m ̸ = ξ e seeFranke and Yanovski (2015).19 Recall that only the capital stocks of the firms are varying across firms (g j ). In the determination of q f the capital stock growth rate generally plays a very small role because it is present with the same sign both in the denominator and in the numerator of q f .…”
mentioning
confidence: 99%
“… In a structuralist post‐Keynesian framework and still at a fairly general level, Franke and Yanovski () characterize the long‐run equilibrium value q o as deviations from unity that, in particular, are determined by a comparison of two independent risk premia. The upshot of their numerical explorations is that q o may typically range between 0.85 and 1.20.…”
mentioning
confidence: 99%