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Table 2 Description and summary statistics of underlying data set

From: Examining the vintage effect in hedonic pricing using spatially varying coefficients models: a case study of single-family houses in the Canton of Zurich

(a) Continuous variables

Variable

Description

Min

Median

Max

SD

Price

Adjusted transaction price in Swiss Francs excluding parking and special factors

400,000

1,390,000

10,500,000

938,813

Age

Age at the time of purchase

− 1a

36

99b

27

Volume

Building volume in \({m}^{3}\) (SIA Zürich, 2003)

300

780

3134

297

Plot size

Plot size in \({m}^{2}\)

103

471

3101

343

Renov

Need for renovation (difference between actual and theoretical building condition, higher meaning better; h.m.b.)

0.00

0.00

4.00

0.91

Standard

Standard; h.m.b

2.00

3.00

5.00

0.67

Micro

Micro-location; h.m.b

2.00

3.50

5.00

0.64

(b) Categorical variables, reference level in italics

Variable

Description

Levels

Observations

Year quarter

Transaction year and quarter

20,183: 3rd Quarter of 2018

365

20,184: 4th Quarter of 2018

168

20,191: 1st Quarter of 2019

265

20,192: 2nd Quarter of 2019

275

20,193: 3rd Quarter of 2019

303

20,194: 4th Quarter of 2019

202

SFH type

Type of SFH

1: Detached

736

2: Semi-detached

532

3: Row house

310

Energy

Energy standard

1: Insulated shell

1538

2: Enhanced energy efficiency

40

(c) Observation locations

Coordinates

Description

Range

Easting \(LV03x\)

Coordinates in the LV03 coordinate reference system (Federal Office of Topography swisstopo, 1900) in \(m\)

\(200 \times 10^{3} - 800 \times 10^{3}\)

Northing \(LV03y\)

\(100 \times 10^{3} - 400 \times 10^{3}\)

Variable

Description

Levels

Observations

FPRE type

Type of cell

1: Top-locations

446

2: Urban agglomerations

728

3: Other agglomerations

265

4: Rural areas

139

  1. aNegative age values are given if the date of transaction is prior to the year of construction
  2. bThe value 99 is given for SFHs with an age of 99 years or older