View source: R/DataForEstimation.R
DataForEstimation | R Documentation |
Retrieves data from Excel and build the database used in the model estimation
DataForEstimation(
t0,
tF,
Economies,
N,
FactorLabels,
ModelType,
DataFrequency,
W_type = NULL,
t_First_Wgvar = NULL,
t_Last_Wgvar = NULL,
DataPathMacro = NULL,
DataPathYields = NULL,
DataPathTrade = NULL
)
t0 |
Start date of the sample period in the format yyyy-mm-dd. |
tF |
End date of the sample period in the format yyyy-mm-dd. |
Economies |
A character vector containing the names of the economies included in the system. |
N |
Integer. Number of country-specific spanned factors. |
FactorLabels |
String-list based which contains the labels of all the variables present in the model |
ModelType |
String-vector containing the label of the model to be estimated |
DataFrequency |
Character-based-vector. Available options are: "Daily All Days", "Daily Business Days", "Weekly", "Monthly", "Quarterly", "Annually" |
W_type |
Three possibilities:
|
t_First_Wgvar |
Sample starting date (year) |
t_Last_Wgvar |
Sample last date (year) |
DataPathMacro |
Path of the Excel file containing the macroeconomic data (if any). The default is linked to the excel file present in the package. |
DataPathYields |
Path of the Excel file containing the yields data (if any). The default is linked to the excel file present in the package. |
DataPathTrade |
Path of the Excel file containing the trade data (if any). The default is linked to the excel file present in the package. |
A list containing the
time series of the complete set of bond yields (matrix, J x T or CJ x T);
time series of the complete set risk factors (matrix, K x T);
'GVARFactors': list of all variables that are used in the estimation of the VARX
(see e.g. CM_Factors_GVAR
file). If the estimated model type is not GVAR-based, then returns NULL.
InputsForOpt
DomVar <- c("Eco_Act", "Inflation")
GlobalVar <- c("GBC", "CPI_OECD")
t0 <- "2006-09-01"
tF <- "2019-01-01"
Economies <- c("China", "Brazil", "Mexico", "Uruguay", "Russia")
N <- 2
ModelType <- "JPS original"
FactorLabels <- LabFac(N, DomVar, GlobalVar, Economies, ModelType)
DataFrequency <- "Monthly"
DataModel <- DataForEstimation(t0, tF, Economies, N, FactorLabels, ModelType, DataFrequency)
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