Capital Tax Incidence: Fisherian Impressions from the Time Series
Casey Mulligan
No 9916, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
This paper accepts for the sake of argument the hypothesis that much of the time series correlation between tax and profit rates is spurious, and shows how nonetheless time series for profit rates, tax rates, and consumption can be organized, compared and interpreted using Fisher's (1930) theory of consumption in order to understand the incidence of capital taxes. Capital taxation is associated with a wedge between anticipated aggregate consumption growth and capital rental rates, suggesting that in one way or another capital owner behavior adjusts in the direction needed for some passing' of the capital tax. Conversely, most of the medium and low frequency deviations between anticipated aggregate consumption growth and capital rental rates are associated with capital taxation, as implied by aggregate time-separable Fisherian consumption theories in which time preference, non-tax capital market distortions, aggregation biases, and other determinants of aggregate consumption growth vary little over time.
JEL-codes: E21 H30 (search for similar items in EconPapers)
Date: 2003-08
New Economics Papers: this item is included in nep-ets and nep-pbe
Note: PE
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.nber.org/papers/w9916.pdf (application/pdf)
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:nbr:nberwo:9916
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w9916
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 ().