hpiModel.rt {hpiR}

Specific method for hpi modeling (rt approach)

Description

Estimate hpi models with rt approach

Usage

## S3 method for class 'rt'
hpiModel(model_type, hpi_df, estimator = "base",
  log_dep = TRUE, trim_model = TRUE, mod_spec = NULL, ...)

Arguments

model_type

Type of model to estimate ('rt', 'hed', 'rf')

hpi_df

Dataset created by one of the *CreateTrans() function in this package.

estimator

Type of estimator to be used ('base', 'weighted', 'robust')

log_dep

default TRUE, should the dependent variable (change in price) be logged?

trim_model

default TRUE, should excess be trimmed from model results ('lm' or 'rlm' object)?

mod_spec

Model specification

...

Additional Arguments

Value

hpimodel object consisting of:

estimator

Type of estimator

coefficients

Data.frame of coefficient

model_obj

class 'rtmodel' or 'hedmodel'

mod_spec

Full model specification

log_dep

Binary: is the dependent variable in logged format

base_price

Mean price in the base period

periods

'data.frame' of periods

approach

Type of model used