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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_sef)

Format

A data frame with 125 rows and 15 variables:

id

Unique identifier of the property auctioned

location

Physical location based on distance from the city center of property, ordinal factor (Center, Semi-center, Suburban)

income

Average per capita income for the city where the auction takes place (euros/year)

delta_ntn

Variation in the number of local real estate transactions over the observed period, an index that describes the activity of the local real estate market (percentage)

re_activity_index

Real Estate Activity Index (REAI) is an index that describes the activity and the performance of the local real estate market. This index is calculated as the ratio between delta_ntn and the total stock of real estate units in the area where the property is auctioned

population

Population in the city where the property is auctioned

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

Examples

 data(auctions_sef)
 income <- auctions_sef$income