R: Transformed Wooden Beds Import Data for Static AIDS Models
daBed
R Documentation
Transformed Wooden Beds Import Data for Static AIDS Models
Description
This data set contains transformed values related to wooden beds imports by the United States from January 2001 to December 2008. There are 96 observations and 20 variables.
sCN
monthly import share of wooden beds from China
sVN
monthly import share of wooden beds from Vietnam
sID
monthly import share of wooden beds from Indonesia
sMY
monthly import share of wooden beds from Malaysia
sCA
monthly import share of wooden beds from Canada
sBR
monthly import share of wooden beds from Brazil
sIT
monthly import share of wooden beds from Italy
sRW
monthly import share of wooden beds from the rest of world
rte
real total expenditure in logarithm
lnpCN
monthly import price of wooden beds from China in logarithm
inpVN
monthly import price of wooden beds from Vietnam in logarithm
lnpID
monthly import price of wooden beds from Indonesia in logarithm
lnpMY
monthly import price of wooden beds from Malaysia in logarithm
lnpCA
monthly import price of wooden beds from Canada in logarithm
inpBR
monthly import price of wooden beds from Brazil in logarithm
lnpIT
monthly import price of wooden beds from Italy in logarithm
lnpRW
monthly import price of wooden beds from the rest of world in logarithm
dum1
a pulse dummy variable (1 for October 2003, 0 otherwise)
dum2
a pulse dummy variable (1 for July 2004, 0 otherwise)
dum3
a pulse dummy variable (1 for January 2005, 0 otherwise)
Usage
data(daBed)
Format
Monthly time series from Janurary 2001 to December 2008 with 96 observations for each of the 20 variables.
Details
This is the transformated data set for static AIDS model. The transformation detail is described in Wan et al. (2010).
Source
U.S. ITC, 2010. Interactive tariff and trade data web. US International Trade Commission (Assecced on March 1, 2010).
References
Wan, Y., C. Sun, and D.L. Grebner. 2010. Analysis of import demand for wooden beds in the United States. Journal of Agricultural and Applied Economics 42(4):643-658.