ffy_opt_dtgch_cbem4: Generates A_i and alpha_i for linear and log linear problems...

In FanWangEcon/PrjOptiAlloc: The Optimal Allocation of Resources Among Heterogeneous Individuals

Description

Given a dataset with Y, x1, xothers. Regress with log linear and linear structures to obtain A and alpha that the linear and log linear optimal allocation problems understand. dtgch = data guatemala cebu height. There discrete groups, allowing for alpha to differ. *ffv_opt_dtgch_cbem4.Rmd* tests the code here and generates rda file that is saved in data folder.

Usage

ffy_opt_dtgch_cbem4()

Value

a list with two tibble with guatemala and cebu dataset only some columns and A and alpha lin loglin

• df_raw - Dataframe from Guat/Cebu subsetted Ceb only, 4 categories

• df_esti - A dataframe with 5 columns, lin and loglin A, alpha and beta.

Author(s)

Fan Wang, http://fanwangecon.github.io

References

https://fanwangecon.github.io/PrjOptiAlloc/reference/ffy_opt_dtgch_cbem4.html https://fanwangecon.github.io/PrjOptiAlloc/articles/ffv_opt_dtgch_cbem4.html

Examples

ls_opti_alpha_A <- ffy_opt_dtgch_cbem4()
head(ls_opti_alpha_A$df_raw, 10)
head(ls_opti_alpha_A$df_esti, 10)

FanWangEcon/PrjOptiAlloc documentation built on Jan. 25, 2022, 6:55 a.m.