foreclosure: Foreclosure Monitoring Predictions data

In BRcal: Boldness-Recalibration of Binary Events

Foreclosure Monitoring Predictions data

Description

Foreclosure monitoring probability predictions and the true foreclosure status pertaining of 5,000 housing transactions in 2010 from Wayne County, Michigan. These data were a randomly selected subset from data from presented in Keefe et al. (2017).

Usage

foreclosure

Format

foreclosure

A data frame with 5,000 rows and 3 columns:

y

sale type, 1 = foreclosure, 0 = regular sale

x

predicted probabilities of foreclosure

year

year of observed foreclosure or regular sale

Source

Keefe, M.J., Franck, C.T., Woodall, W.H. (2017): Monitoring foreclosure rates with a spatially risk-adjusted bernoulli cusum chart for concurrent observations. Journal of Applied Statistics 44(2), 325–341 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/02664763.2016.1169257")}

BRcal documentation built on Oct. 14, 2024, 5:10 p.m.