Cyclical Markups: Theories and Evidence
Julio Rotemberg and
Michael Woodford ()
No 3534, NBER Working Papers from National Bureau of Economic Research, Inc
If changes in aggregate demand were an important source of macroeconomic fluctuations, real wages would be countercyclical unless markups of price over marginal cost were themselves countercyclical. We thus examine three theories of markup variation at cyclical frequencies. The first assumes only that the elasticity of demand is a function of the level of output. In the second, firma face a tradeoff between exploiting their existing customers and attracting new customers. Markups then depend also on rates of return and future sales expectations; a high rate of return or expectations of low sales growth lead firms to assign a lower value to future revenues from new customers. Firma thus raise prices and markups. In the third theory, markups are chosen to ensure that no one deviates from an (implicitly) collusive understanding. Increases in rates of return or pessimistic expectations then lead firms to be less concerned with future punishments so that markups fall. Aggregate post-war data from the U.S. are moat consistent with the predictions of the implicit collusion model.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10) Track citations by RSS feed
Published as Blanchard, O.J. and S. Fischer (eds.) NBER Macroeconomics Annual 1991. Cambridge: MIT Press, 1991.
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:3534
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().