LRM: Find the LRM
In pointonjoel/Kenometrics: Support Tools for Econometrics Classes

Description Usage Arguments Value Examples

Find the long run multiplier/propensity

1	LRM(yvar, xvar, lags = 3, other_vars = "", df, time_var = "year")

`yvar`	The regressand/dependent variable in the FDL model
`xvar`	The variable within the Finite Distributed Lag (FDL) model that will be the regressor. E.g. lpop
`lags`	The number of lags of the x variable
`other_vars`	variables to be included (not lagged). Input using a vector such as: c("lprice", "linvpc")
`df`	The dataframe which the model is based upon, e.g. my_data or NASA.
`time_var`	The variable in the dataset which marks the year of the observations. E.g. "year".

It prints the LRM its standard error and returns the LRM

#Sourcing the data from the user's computer
file <- system.file("extdata", "fertil3.txt", package="Kenometrics")
fertil3_data <- read.delim(file)

#Using the function
LR_prop <- LRM("gfr", "pe", 3, other_vars=c("ww2", "pill"), df=fertil3_data)