House sales price and characteristics for a spatial hedonic regression, Baltimore, MD 1978.
- Type = point shape file
- Projection: projected, X,Y on Maryland grid, projection type unknown
- Observations = 211
- Variables = 17
- Years = 1980s
Data overview
| Variable | Description |
|---|---|
| STATION | ID variable |
| PRICE | Sales price of house in $1,000 (MLS) |
| NROOM | Number of rooms |
| DWELL | 1 if detached unit, 0 otherwise |
| NBATH | Number of bathrooms |
| PATIO | 1 if patio, 0 otherwise |
| FIREPL | 1 if fireplace, 0 otherwise |
| AC | 1 if air conditioning, 0 otherwise |
| BMENT | 1 if basement, 0 otherwise |
| NSTOR | Number of stores |
| GAR | Number of car spaces in garage (0 = no garage) |
| AGE | Age of dwelling in years |
| CITCOU | 1 if dwelling is in Baltimore County, 0 otherwise |
| LOTSZ | Lot size in hundreds of square feet |
| SQFT | Interior living space in hundreds of square feet |
| X | X coordinate on the Maryland grid |
| Y | Y coordinate on the Maryland grid |
Source Original data made available by Robin Dubin, Weatherhead School of Management, Case Western Research University, Cleveland, OH, Email.
Reference Dubin, Robin A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics 22(3), 433-452.
Prepared by Luc Anselin. UChicago Center for Spatial Data Science. Last updated July 10, 2017. Data provided “as is,” no warranties.