AmEx: American Express Credit Card data

In EOgundimu300/HeckmanSelect: Regularization method for binary Heckman selection model

Description

AmEx data consisted of 13,400 observations on credit card applications received in a single month in 1988. Of the full sample, 10,499 applications were approved and the next 12 months of spending and default behavior were observed. Important variables in the data includes Demographic and socioeconomic factors of the applicants (e.g. Age, Income, whether the applicant owns his or her home, whether the applicant is self employed or not and the number of dependents living with the applicant). An important factor for granting the credit facility is grouped under “Derogatories and Other Credit Data".

Usage

data(AmEx)

Format

A data frame with 13444 observations and 56 variables

DEFAULT

observed outcome variable

CARDHLDR

selection indicator

other variables

use names(AmEx)

Source

<http://people.stern.nyu.edu/wgreene/Microeconometrics.htm>

References

Greene WH (1998) Sample selection in credit-scoring models

Examples

data(AmEX)



outcome <- DEFAULT~AGE+ACADMOS+ADEPCNT+AEMPMOS+MAJORDRG+ MINORDRG+OWNRENT+
 APADMOS+AMAMIND+INCOME+SELFEMPL+ TRADACCT+ INCPER+ EXP_INC+CPTOPNB+
 CPTOPNG+ CPT30C+CPTF30+CPTAVRV+CBURDEN


selection <- CARDHLDR~AGE+ACADMOS+ADEPCNT+AEMPMOS+MAJORDRG+ MINORDRG+OWNRENT+
 APADMOS+AMAMIND+INCOME+SELFEMPL+ TRADACCT+ INCPER+CPTOPNB+
 CPTOPNG+ CPT30C+CPTF30+CPTAVRV+CBURDEN+BANKSAV+BANKCH+BANKBOTH+CREDMAJR+ACBINQ


pp <- HeckSelect(selection, outcome, data=AmEx, allowParallel = TRUE, penalty="ALASSO", Model="AMH",crit="bic")

EOgundimu300/HeckmanSelect documentation built on Feb. 5, 2022, 2:48 a.m.