Auctions in a Distressed Real Estate Market in Italy: Auction Market Features.

Data describing Real Estate (RE) distressed market, with a focus on property foreclosures in North-East Italy between 2000 and 2016. The data were collected by Canesi and Marella by means of a survey sent to financial institutions, courts of law and different associations of public notaries. The aim of the survey was to record real estate auctions, and their technical and socio-economic features. The data provide information about housing market trends and performance as well as demographic features.

Usage

data(auctions_amf)

Format

A data frame with 125 rows and 15 variables:

id: Unique identifier of the property auctioned
days_on_market: Number of days the property stayed on the auctioned market before being sold; the difference between the date of sale (closing date) and the first auction starting date (opening bid)
number_auctions: The number of bidding proceedings before the selling
discount: Percentage variation between the first listing value (which equals the market value assessed by the appraisal) and the selling price
premium: Premium paid by the winner bidder to win the auction calculated as the percentage variation between the last listing value and the final selling price
date: Date when the property was assessed by the appraisal, in Year-Month-Day format

Source

Canesi, Rubina, and Giuliano Marella. "Data from RE distressed market: Properties auctions in Italy." Data in Brief 18 (2018): 319-324. doi:10.1016/j.dib.2018.03.009

Details

This table contains the auction market features of the data set.

Examples

 data(auctions_amf)
 discount <- auctions_amf$discount