Cagan's paradox and money demand in hyperinflation: Revisited at daily frequency
Zorica Mladenovic and
Pavle Petrovic
Journal of International Money and Finance, 2010, vol. 29, issue 7, 1369-1384
Abstract:
Using daily data the Cagan money demand is estimated and accepted for the most severe portion of Serbia's 1992-1993 hyperinflation, i.e. its last 6 months. An implication is that the public adjusted daily throughout this extreme period. Moreover, the obtained semi-elasticity estimates are by far lower than those previously found using monthly data sets. Consequently, the daily estimates reject the longstanding Cagan's paradox, based on monthly studies, by showing that the economy has been on the correct, increasing side of the Laffer curve almost through the end of hyperinflation. This strongly supports the view that hyperinflation is triggered and driven all way through its end by the government's hunt for non-decreasing seigniorage. Daily adjustments of public in hyperinflation can account for the difference between the results obtained at daily and monthly frequencies, calling into question the latter. Some evidence is offered that the findings of this paper may hold for other hyperinflations.
Keywords: Hyperinflation; Money; demand; Cagan's; paradox; Daily; frequency (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261-5606(10)00062-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jimfin:v:29:y:2010:i:7:p:1369-1384
Access Statistics for this article
Journal of International Money and Finance is currently edited by J. R. Lothian
More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().