Table 2 Control variables.
From: Asymmetric impacts of artificial intelligence on housing price valuation across education levels
Appellation | Detail |
|---|---|
Residential property price | |
 Housing price* | Transacted apartment price in Korean won per square meter |
Housing characteristics | |
 Area | Unit size aggregated in square meters (m2) |
 Floor | Apartment’s floor in the building |
 Households | Number of households in a complex |
 Parking space | Number of parking spaces per household |
 Heating | Heating type for individual unit (0 for city gas; 1 for others) |
 Age | Year when each apartment complex was built |
Local amenities | |
 Prox. green* | Proximity to the nearest park, hill, or mountain (measured in meters) |
 Prox. water* | Proximity to the nearest river, stream, pond, or seashore (measured in meters) |
 Prox. subway* | Proximity to the nearest subway station (measured in meters) |
 Bus stops | Number of bus stops within a 400-m radius of a unit |
 Top school | Number of Seoul National University entrants from high schools within a 5-km radius of a unit |
Local demographics | |
 Sex ratio | Proportion of males to females |
 Pop. density | Number of residents per square kilometer (km2) |
 Univ. grad. | Proportion of university graduates over people aged 15 or older |
Seasonal dummy variables | |
 Spring | Seasonal dummy indicating a transaction record in March, April, or May |
 Fall | Seasonal dummy indicating a transaction record in September, October, or November |
 Winter | Seasonal dummy indicating a transaction record in December, January, or February |
