| pesaranData | R Documentation |
This data set contains quarterly observations by country, spanning the period from 1979Q2 to 2019Q4. It can be downloaded from https://www.mohaddes.org/gvar. The country coverage is 28 countries.
pesaranData
The data loads pesaranData, which is a list object of length N (i.e, the number of countries) and contains the country-level data as described in Mohaddes and Raissi (2020). The countries are abbreviated using ISO-2 codes. Furthermore, we also provide two datasets with first differences of some variables in pesaranDiff. dominant contains data that is considered global. tA is a three-dimensional array that contains N times N annual trade flow matrices over the period from 1980 to 2016. This array can be used to construct weight matrices. For more details, see below:
W.8016 Weight matrix for the pesaran.level and pesaran.diff data sets, based on averaged trade flows covering the period 1980 to 2016 (based on tA).
tA Three-dimensional array that contains the yearly, bilateral trade flows, which were used to construct W.8016.
peseranData List object of length N containing
yReal GDP.
DpConsumer price inflation.
rShort-term interest rate, typically 3-months money market rate.
lrLong-term interest rate.
eqEquity prices.
epExchange rate vis a vis the US dollar, deflated by the domestic CPI.
pesaranDiff List object of length N containing
yGrowth rate of real GDP.
DpFirst differences of consumer price inflation.
rFirst differences of short-term interest rate, typically 3-months money market rate.
lrLong-term interest rate.
eqEquity prices.
epExchange rate vis a vis the US dollar, deflated by the domestic CPI.
dominantData set containing global variables:
poilOil prices.
pmetalMetal price index.
pmatAgricultural price index.
Mohaddes, K. and M. Raissi (2018). Compilation, Revision and Updating of the Global VAR (GVAR) Database, 1979Q2-2016Q4. University of Cambridge: Faculty of Economics (mimeo).
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