| PCIT | R Documentation |
The data set PCIT consists of quarterly observations for
the average personal income tax rates APITR,
the average corporate income tax rates ACITR,
the logarithm of the personal income tax base PITB,
the logarithm of the corporate income tax base CITB,
the logarithm of government spending GOV,
the logarithm of GDP divided by population RGDP, and
the logarithm of government debt held by the public
divided by the GDP deflator and population DEBT.
Moreover, the proxies for shocks to personal m\_PI and corporate m\_CI
income taxes are prepended, where non-zero observations from the related
narratively identified shock series T\_PI resp. T\_CI have been demeaned.
The data set covers the period Q1 1950 to Q4 2006 (T=228) for the US.
data("PCIT")
A time series data set of class 'data.frame',
where the column id_t indicates the quarter of the year.
The prepared data set is directly obtainable from openICPSR: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3886/E116190V1")}. Supplementary Research Data. This is open data under the CC BY 4.0 license.
Mertens, K., and Ravn, M. O. (2013): "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States", American Economic Review, 103, pp. 1212-1247.
Jentsch, C., and Lunsford, K. G. (2019): "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States: Comment", American Economic Review, 109, pp. 2655-2678.
Mertens, K., and Ravn, M. O. (2019): "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States: Reply", American Economic Review, 109, pp. 2679-2691.
Other data sets:
ERPT,
EURO,
EU_w,
ICAP,
MDEM,
MERM,
PCAP
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