calculate_hedonic_imputation {cbsREPS} | R Documentation |
Calculate imputation averages with the 1st period as base period
Description
Prices are estimated based on a provided Hedonic model The model values are calculated for each period in the data With these values, new prices of base period observations are estimated. With this function, imputations according to the Laspeyres and Paasche method can be estimated.
Usage
calculate_hedonic_imputation(
dataset_temp = dataset,
period_temp = "period_var_temp",
dependent_variable_temp = dependent_variable,
independent_variables_temp = independent_variables,
number_of_observations_temp = number_of_observations,
period_list_temp = period_list
)
Arguments
dataset_temp |
table with data |
period_temp |
'period' |
dependent_variable_temp |
usually the sale price |
independent_variables_temp |
vector with quality determining variables |
period_list_temp |
list with all available periods |
Value
Table with imputation averages per period
Author(s)
Farley Ishaak
[Package cbsREPS version 0.1.0 Index]