coupon: Data on daily spending and coupon receipt (selective...

In causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting

Data on daily spending and coupon receipt (selective subsample) This data set is a selective subsample of the data set "couponsretailer" which was constructed for illustrative purposes.

Description

Data on daily spending and coupon receipt (selective subsample) This data set is a selective subsample of the data set "couponsretailer" which was constructed for illustrative purposes.

Usage

coupon

Format

A data frame with 1293 rows and 9 variables:

dailyspending

outcome: customer's daily spending at the retailer in a specific period

coupons

treatment: 1 = customer received at least one coupon in that period; 0 = customer did not receive any coupon

coupons_preperiod

coupon reception in previous period: 1 = customer received at least one coupon; 0 = customer did not receive any coupon

dailyspending_preperiod

daily spending at the retailer in previous period

income_bracket

income group: 1 = lowest to 12 = highest

age_range

age of customer: 1 = 18-25; 2 = 26-35; 3 = 36-45; 4 = 46-55; 5 = 56-70; 6 = 71 plus

married

marital status: 1 = married; 0 = unmarried

rented

dwelling type: 1 = rented; 0 = owned

family_size

number of family members: 1 = 1; 2 = 2; 3 = 3; 4 = 4; 5 = 5 plus

causalweight documentation built on May 4, 2023, 5:10 p.m.